正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Some microchip layers need extreme ultraviolet (EUV) lithography’s ultra-high resolution, while others can be printed faster with deep ultraviolet (DUV). Chipmakers blend both technologies to optimize for speed, resolution and cost so our devices stay powerful and efficient.

ASML

58,679 subscribers

53,009 次观看 • 3 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Here are 20 companies that will dominate the AI age: 1/ ASML $ASML is revolutionizing the semiconductor industry by enabling chipmakers to produce the world’s most advanced processors with atomic-scale precision. Shrinking transistors to fit more power into smaller chips faces fundamental physical limits. The industry struggled with escalating costs, slower innovation cycles, and diminishing returns from older lithography methods. With $ASML, the process is radically different, its extreme ultraviolet (EUV) lithography machines use cutting-edge optics and physics to etch circuitry at the nanometer scale, enabling faster, more energy-efficient, and more powerful chips. This breakthrough is the backbone of progress in AI, cloud computing, smartphones, and virtually every advanced technology. As AI spreads to all aspects of our economies, an ever-growing number of chips is needed, driving demand for ASML machines and maintenance services.

Here are 20 companies that will dominate the AI age: 1/ ASML $ASML is revolutionizing the semiconductor industry by enabling chipmakers to produce the world’s most advanced processors with atomic-scale precision. Shrinking transistors to fit more power into smaller chips faces fundamental physical limits. The industry struggled with escalating costs, slower innovation cycles, and diminishing returns from older lithography methods. With $ASML, the process is radically different, its extreme ultraviolet (EUV) lithography machines use cutting-edge optics and physics to etch circuitry at the nanometer scale, enabling faster, more energy-efficient, and more powerful chips. This breakthrough is the backbone of progress in AI, cloud computing, smartphones, and virtually every advanced technology. As AI spreads to all aspects of our economies, an ever-growing number of chips is needed, driving demand for ASML machines and maintenance services.

Ray Myers

307,231 次观看 • 11 个月前

🇺🇸 TELEPATHY & CYBORG VISION: NEURALINK GOES FULL SCI-FI Elon Musk : "Our next product is Blindsight, which will enable people with total vision loss, including those who've lost their eyes or optic nerve, or who've been blind since birth, to see again. Initially, it will be low resolution, but ultimately high resolution and in multiple wavelengths. So it could be like Geordi La Forge in Star Trek, seeing in radar, infrared, ultraviolet, essentially superhuman capabilities. Cybernetic enhancement. Along the way, this should help us understand much more about consciousness." Source: Neuralink

🇺🇸 TELEPATHY & CYBORG VISION: NEURALINK GOES FULL SCI-FI Elon Musk : "Our next product is Blindsight, which will enable people with total vision loss, including those who've lost their eyes or optic nerve, or who've been blind since birth, to see again. Initially, it will be low resolution, but ultimately high resolution and in multiple wavelengths. So it could be like Geordi La Forge in Star Trek, seeing in radar, infrared, ultraviolet, essentially superhuman capabilities. Cybernetic enhancement. Along the way, this should help us understand much more about consciousness." Source: Neuralink

Mario Nawfal

94,407 次观看 • 1 年前

Did you know that arcade cabinets with CRT monitors actually had three different resolutions? Most classic 2D arcade games used a 15kHz (320×240) resolution. This was the same resolution commonly used by CRT TVs and many 8-bit, 16-bit, and 32-bit home consoles. Then Sega introduced higher-resolution arcade games with Virtua Fighter and Virtua Racing, which used 24kHz (496×384). Sega Model 1, 2, and 3 arcade boards are famous for using this resolution. One of the reasons the Sega Saturn versions of Virtua Fighter 2 and Daytona USA looked so different from the arcade versions was because of this resolution gap. Later 3D arcade games moved to 31kHz (640×480) resolution. Sega NAOMI games are one of the best-known examples. That’s why you need to be careful when buying an arcade cabinet. Early cabinets only supported 15kHz, while the commonly seen Astro City supported both 15kHz and 24kHz. Later cabinets like Blast City, Net City, and New Net City were known as “3-mode” cabinets because they supported all three resolutions. The tricky part is that both the game board and the arcade cabinet itself can have resolution settings. If the settings are wrong, you can end up running a high-resolution game in low resolution. So if you’re buying an arcade cabinet, make sure you carefully check which resolutions it supports.

Did you know that arcade cabinets with CRT monitors actually had three different resolutions? Most classic 2D arcade games used a 15kHz (320×240) resolution. This was the same resolution commonly used by CRT TVs and many 8-bit, 16-bit, and 32-bit home consoles. Then Sega introduced higher-resolution arcade games with Virtua Fighter and Virtua Racing, which used 24kHz (496×384). Sega Model 1, 2, and 3 arcade boards are famous for using this resolution. One of the reasons the Sega Saturn versions of Virtua Fighter 2 and Daytona USA looked so different from the arcade versions was because of this resolution gap. Later 3D arcade games moved to 31kHz (640×480) resolution. Sega NAOMI games are one of the best-known examples. That’s why you need to be careful when buying an arcade cabinet. Early cabinets only supported 15kHz, while the commonly seen Astro City supported both 15kHz and 24kHz. Later cabinets like Blast City, Net City, and New Net City were known as “3-mode” cabinets because they supported all three resolutions. The tricky part is that both the game board and the arcade cabinet itself can have resolution settings. If the settings are wrong, you can end up running a high-resolution game in low resolution. So if you’re buying an arcade cabinet, make sure you carefully check which resolutions it supports.

Gamer_lafan

73,847 次观看 • 2 个月前

I think we literally need to pay for every elected official and policymaker to visit places with high speed rail if we want our country to not be so far behind.

I think we literally need to pay for every elected official and policymaker to visit places with high speed rail if we want our country to not be so far behind.

Hayden

238,513 次观看 • 3 个月前

✨ I upscaled a 64x64 pixel image to 37 Megapixels 🤯 Workflow: the new Clarity AI Low Res for upscaling from 64 to 1024px and Clarity AI regular for 1024 to 6144px. I made both models open-source and am now implementing the low-resolution option to my app so users can also upscale very low-resolution images to up to 37 Megapixels with one click. So, I need to add a x100 option 🤩 ⚙️ API: 🛠️ Code:

✨ I upscaled a 64x64 pixel image to 37 Megapixels 🤯 Workflow: the new Clarity AI Low Res for upscaling from 64 to 1024px and Clarity AI regular for 1024 to 6144px. I made both models open-source and am now implementing the low-resolution option to my app so users can also upscale very low-resolution images to up to 37 Megapixels with one click. So, I need to add a x100 option 🤩 ⚙️ API: 🛠️ Code:

philz1337x

215,343 次观看 • 2 年前

Presto! Distilling Steps and Layers for Accelerating Music Generation Despite advances in diffusion-based text-to-music (TTM) methods, efficient, high-quality generation remains a challenge. We introduce Presto!, an approach to inference acceleration for score-based diffusion transformers via reducing both sampling steps and cost per step. To reduce steps, we develop a new score-based distribution matching distillation (DMD) method for the EDM-family of diffusion models, the first GAN-based distillation method for TTM. To reduce the cost per step, we develop a simple, but powerful improvement to a recent layer distillation method that improves learning via better preserving hidden state variance. Finally, we combine our step and layer distillation methods together for a dual-faceted approach. We evaluate our step and layer distillation methods independently and show each yield best-in-class performance. Our combined distillation method can generate high-quality outputs with improved diversity, accelerating our base model by 10-18x (230/435ms latency for 32 second mono/stereo 44.1kHz, 15x faster than comparable SOTA) -- the fastest high-quality TTM to our knowledge.

Presto! Distilling Steps and Layers for Accelerating Music Generation Despite advances in diffusion-based text-to-music (TTM) methods, efficient, high-quality generation remains a challenge. We introduce Presto!, an approach to inference acceleration for score-based diffusion transformers via reducing both sampling steps and cost per step. To reduce steps, we develop a new score-based distribution matching distillation (DMD) method for the EDM-family of diffusion models, the first GAN-based distillation method for TTM. To reduce the cost per step, we develop a simple, but powerful improvement to a recent layer distillation method that improves learning via better preserving hidden state variance. Finally, we combine our step and layer distillation methods together for a dual-faceted approach. We evaluate our step and layer distillation methods independently and show each yield best-in-class performance. Our combined distillation method can generate high-quality outputs with improved diversity, accelerating our base model by 10-18x (230/435ms latency for 32 second mono/stereo 44.1kHz, 15x faster than comparable SOTA) -- the fastest high-quality TTM to our knowledge.

AK

30,430 次观看 • 1 年前

PHOTON COUNTING CT is NOT a better CT It is a NEW imaging modality Photon Counting CT (PCCT) represents a transformative leap in medical imaging, not only as a molecular imaging modality but also as a technology offering ultra-high resolution and functional imaging capabilities. It is fundamentally more than just an enhanced version of traditional CT—PCCT introduces new ways of seeing and understanding the human body, providing critical insights at the molecular, structural, and functional levels. This positions PCCT as a unique imaging modality that requires a fresh approach to technical implementation, operational workflows, and financial planning. Despite the larger upfront investment, PCCT’s ability to drastically reduce downstream healthcare costs makes it a highly valuable investment in the long run. 1. Technical Innovations • Molecular Imaging and Energy Discrimination: Unlike traditional CT, which simply measures the total absorbed energy, PCCT counts individual X-ray photons and differentiates their energy levels. This allows for precise molecular imaging, revealing the composition of tissues and materials at a biochemical level. By distinguishing between different tissue types and contrast agents, PCCT opens up new diagnostic possibilities, such as identifying molecular biomarkers in tumors or distinguishing between stable and unstable plaque in coronary arteries. This capability shifts the focus of imaging from purely anatomical to both anatomical and molecular, offering more comprehensive diagnostic information. • Ultra-High Spatial Resolution: PCCT features significantly smaller detector elements compared to conventional CT scanners, allowing for ultra-high resolution imaging. This means clinicians can visualize fine structures such as microcalcifications in arteries, small lesions in soft tissues, or the intricate architecture of bones. This level of detail was previously unattainable with traditional CT. When combined with molecular imaging, this ultra-high resolution allows for the precise localization and characterization of disease at very early stages, which is essential for early diagnosis and intervention. • Functional Imaging Capabilities: PCCT also excels as a functional imaging modality. By capturing energy-resolved information, PCCT can provide insights into tissue functionality and dynamic physiological processes. For instance, it can detect changes in blood flow, tissue perfusion, and oxygenation without the need for additional contrast agents or scans. This functionality allows for real-time assessment of physiological processes, making it particularly valuable in cardiology, oncology, and neurology for evaluating organ function and monitoring disease progression. • Reduced Noise and Artifact Reduction: Photon-counting technology dramatically reduces electronic noise and imaging artifacts, such as beam hardening, resulting in clearer and more accurate images. The ability to deliver ultra-high resolution images with minimal artifacts improves diagnostic accuracy, reducing the need for repeat scans and ensuring that even subtle abnormalities are detected. 2. Operational Considerations • New Workflow for Molecular, High-Resolution, and Functional Imaging: The integration of molecular, ultra-high resolution, and functional imaging into routine clinical workflows introduces complexity that requires adaptation. Radiologists and technicians need specialized training to interpret and analyze multi-energy datasets that include molecular and functional information. PCCT produces a vast amount of detailed data, requiring clinicians to adopt new imaging protocols and refine their diagnostic approaches to fully leverage its capabilities. • Post-Processing and Data Management: PCCT generates richer, more complex datasets, which necessitates advanced post-processing tools and data management systems. Existing PACS and imaging software may not be equipped to handle such large volumes of data or to process functional and molecular information effectively. This means healthcare institutions must invest in robust IT infrastructure, including upgraded software and storage solutions, as well as provide additional training for staff on new imaging analysis techniques. • Revised Clinical Protocols: The molecular, functional, and ultra-high resolution imaging capabilities of PCCT will likely prompt changes in clinical protocols. For instance, the need for contrast agents may be reduced, simplifying patient preparation and decreasing the risk of adverse reactions. Additionally, the ability to monitor physiological functions in real-time through functional imaging could lead to more dynamic diagnostic procedures, such as assessing the effectiveness of interventions or treatments in real-time. 3. Financial Impact • Higher Initial Investment: PCCT systems are more expensive than traditional CT scanners due to their advanced technology, which includes photon-counting detectors and the computational power required for high-resolution, molecular, and functional imaging. While this upfront cost is significant, it is crucial to view it in the broader context of the downstream benefits and cost reductions that PCCT offers. • Downstream Cost Reductions: Although the initial capital investment is higher, PCCT’s ability to combine molecular, functional, and ultra-high resolution imaging leads to substantial reductions in downstream healthcare costs. Its superior diagnostic accuracy minimizes the need for follow-up tests, repeat scans, or invasive diagnostic procedures, such as diagnostic coronary angiographies. For example, in cardiology, PCCT can precisely differentiate between types of coronary plaque, reducing the need for invasive procedures to assess risk. • Lower Overall Healthcare Expenditures: By enabling earlier, more accurate diagnoses, PCCT can reduce the overall cost of patient care. Early detection of disease, particularly through its molecular and functional imaging capabilities, allows for more targeted treatments, potentially preventing the need for more aggressive and expensive interventions down the line. For instance, early-stage tumor detection via molecular imaging could lead to less invasive treatments, reducing hospital stays and improving patient outcomes, ultimately driving down healthcare costs. • Increased ROI Through Enhanced Patient Outcomes: Over time, the combination of molecular, functional, and ultra-high resolution imaging enhances diagnostic precision, which translates into better patient outcomes. Improved diagnostic accuracy reduces the incidence of unnecessary procedures, minimizes treatment delays, and results in more personalized and effective care. This leads to increased patient satisfaction, better healthcare outcomes, and greater patient throughput—all factors that improve the institution’s return on investment (ROI). • Competitive Advantage and New Revenue Streams: By adopting PCCT, healthcare institutions position themselves at the forefront of advanced imaging technologies. The ability to offer molecular, functional, and ultra-high resolution imaging creates a competitive advantage, attracting more complex and high-value cases. This can boost the institution’s reputation for excellence in diagnostics, leading to increased referrals, new patient populations, and expanded revenue opportunities. Summary Photon Counting CT (PCCT) is not just an evolution of existing CT technology—it is a molecular, ultra-high resolution, and functional imaging modality that fundamentally transforms the diagnostic landscape. Its ability to capture detailed molecular data, visualize minute anatomical structures with ultra-high resolution, and provide real-time functional imaging opens new possibilities for earlier and more precise diagnoses. While the financial investment in PCCT is larger, the reduction in downstream healthcare costs through improved diagnostic accuracy, fewer unnecessary interventions, and earlier disease detection far outweighs the initial expense. For institutions committed to advancing patient care and improving long-term financial outcomes, PCCT is an essential investment in the future of medical imaging. The video attached shows a patient accessing the Hospital for ACS. PCCT can provide ALL the imaging information of the concurrent imaging modalities (CXR, CAG, Echo, CMR) that you see around it... that's a lot! #PhotonCountingCT #MolecularImaging #UltraHighResolution #FunctionalImaging #FutureOfImaging #AdvancedMedicalImaging #EarlyDiseaseDetection #InnovativeCT #CuttingEdgeHealthcare #PrecisionDiagnostics #HealthcareInnovation #MedicalTechnology #CostEffectiveImaging #NextGenCT #PatientCareRevolution

PHOTON COUNTING CT is NOT a better CT It is a NEW imaging modality Photon Counting CT (PCCT) represents a transformative leap in medical imaging, not only as a molecular imaging modality but also as a technology offering ultra-high resolution and functional imaging capabilities. It is fundamentally more than just an enhanced version of traditional CT—PCCT introduces new ways of seeing and understanding the human body, providing critical insights at the molecular, structural, and functional levels. This positions PCCT as a unique imaging modality that requires a fresh approach to technical implementation, operational workflows, and financial planning. Despite the larger upfront investment, PCCT’s ability to drastically reduce downstream healthcare costs makes it a highly valuable investment in the long run. 1. Technical Innovations • Molecular Imaging and Energy Discrimination: Unlike traditional CT, which simply measures the total absorbed energy, PCCT counts individual X-ray photons and differentiates their energy levels. This allows for precise molecular imaging, revealing the composition of tissues and materials at a biochemical level. By distinguishing between different tissue types and contrast agents, PCCT opens up new diagnostic possibilities, such as identifying molecular biomarkers in tumors or distinguishing between stable and unstable plaque in coronary arteries. This capability shifts the focus of imaging from purely anatomical to both anatomical and molecular, offering more comprehensive diagnostic information. • Ultra-High Spatial Resolution: PCCT features significantly smaller detector elements compared to conventional CT scanners, allowing for ultra-high resolution imaging. This means clinicians can visualize fine structures such as microcalcifications in arteries, small lesions in soft tissues, or the intricate architecture of bones. This level of detail was previously unattainable with traditional CT. When combined with molecular imaging, this ultra-high resolution allows for the precise localization and characterization of disease at very early stages, which is essential for early diagnosis and intervention. • Functional Imaging Capabilities: PCCT also excels as a functional imaging modality. By capturing energy-resolved information, PCCT can provide insights into tissue functionality and dynamic physiological processes. For instance, it can detect changes in blood flow, tissue perfusion, and oxygenation without the need for additional contrast agents or scans. This functionality allows for real-time assessment of physiological processes, making it particularly valuable in cardiology, oncology, and neurology for evaluating organ function and monitoring disease progression. • Reduced Noise and Artifact Reduction: Photon-counting technology dramatically reduces electronic noise and imaging artifacts, such as beam hardening, resulting in clearer and more accurate images. The ability to deliver ultra-high resolution images with minimal artifacts improves diagnostic accuracy, reducing the need for repeat scans and ensuring that even subtle abnormalities are detected. 2. Operational Considerations • New Workflow for Molecular, High-Resolution, and Functional Imaging: The integration of molecular, ultra-high resolution, and functional imaging into routine clinical workflows introduces complexity that requires adaptation. Radiologists and technicians need specialized training to interpret and analyze multi-energy datasets that include molecular and functional information. PCCT produces a vast amount of detailed data, requiring clinicians to adopt new imaging protocols and refine their diagnostic approaches to fully leverage its capabilities. • Post-Processing and Data Management: PCCT generates richer, more complex datasets, which necessitates advanced post-processing tools and data management systems. Existing PACS and imaging software may not be equipped to handle such large volumes of data or to process functional and molecular information effectively. This means healthcare institutions must invest in robust IT infrastructure, including upgraded software and storage solutions, as well as provide additional training for staff on new imaging analysis techniques. • Revised Clinical Protocols: The molecular, functional, and ultra-high resolution imaging capabilities of PCCT will likely prompt changes in clinical protocols. For instance, the need for contrast agents may be reduced, simplifying patient preparation and decreasing the risk of adverse reactions. Additionally, the ability to monitor physiological functions in real-time through functional imaging could lead to more dynamic diagnostic procedures, such as assessing the effectiveness of interventions or treatments in real-time. 3. Financial Impact • Higher Initial Investment: PCCT systems are more expensive than traditional CT scanners due to their advanced technology, which includes photon-counting detectors and the computational power required for high-resolution, molecular, and functional imaging. While this upfront cost is significant, it is crucial to view it in the broader context of the downstream benefits and cost reductions that PCCT offers. • Downstream Cost Reductions: Although the initial capital investment is higher, PCCT’s ability to combine molecular, functional, and ultra-high resolution imaging leads to substantial reductions in downstream healthcare costs. Its superior diagnostic accuracy minimizes the need for follow-up tests, repeat scans, or invasive diagnostic procedures, such as diagnostic coronary angiographies. For example, in cardiology, PCCT can precisely differentiate between types of coronary plaque, reducing the need for invasive procedures to assess risk. • Lower Overall Healthcare Expenditures: By enabling earlier, more accurate diagnoses, PCCT can reduce the overall cost of patient care. Early detection of disease, particularly through its molecular and functional imaging capabilities, allows for more targeted treatments, potentially preventing the need for more aggressive and expensive interventions down the line. For instance, early-stage tumor detection via molecular imaging could lead to less invasive treatments, reducing hospital stays and improving patient outcomes, ultimately driving down healthcare costs. • Increased ROI Through Enhanced Patient Outcomes: Over time, the combination of molecular, functional, and ultra-high resolution imaging enhances diagnostic precision, which translates into better patient outcomes. Improved diagnostic accuracy reduces the incidence of unnecessary procedures, minimizes treatment delays, and results in more personalized and effective care. This leads to increased patient satisfaction, better healthcare outcomes, and greater patient throughput—all factors that improve the institution’s return on investment (ROI). • Competitive Advantage and New Revenue Streams: By adopting PCCT, healthcare institutions position themselves at the forefront of advanced imaging technologies. The ability to offer molecular, functional, and ultra-high resolution imaging creates a competitive advantage, attracting more complex and high-value cases. This can boost the institution’s reputation for excellence in diagnostics, leading to increased referrals, new patient populations, and expanded revenue opportunities. Summary Photon Counting CT (PCCT) is not just an evolution of existing CT technology—it is a molecular, ultra-high resolution, and functional imaging modality that fundamentally transforms the diagnostic landscape. Its ability to capture detailed molecular data, visualize minute anatomical structures with ultra-high resolution, and provide real-time functional imaging opens new possibilities for earlier and more precise diagnoses. While the financial investment in PCCT is larger, the reduction in downstream healthcare costs through improved diagnostic accuracy, fewer unnecessary interventions, and earlier disease detection far outweighs the initial expense. For institutions committed to advancing patient care and improving long-term financial outcomes, PCCT is an essential investment in the future of medical imaging. The video attached shows a patient accessing the Hospital for ACS. PCCT can provide ALL the imaging information of the concurrent imaging modalities (CXR, CAG, Echo, CMR) that you see around it... that's a lot! #PhotonCountingCT #MolecularImaging #UltraHighResolution #FunctionalImaging #FutureOfImaging #AdvancedMedicalImaging #EarlyDiseaseDetection #InnovativeCT #CuttingEdgeHealthcare #PrecisionDiagnostics #HealthcareInnovation #MedicalTechnology #CostEffectiveImaging #NextGenCT #PatientCareRevolution

Dr. Filippo Cademartiri

11,849 次观看 • 1 年前

Gemini 3 Deep Think is getting an upgrade 🧠 By blending deep scientific knowledge with advanced engineering utility, Deep Think now moves beyond abstract theory to drive practical applications. Researchers are already using it to accelerate their work in the real world: — Materials science: A university lab used Deep Think to optimize the growth of complex crystals that are candidates for high-temperature semiconductors — Mechanical engineering: A researcher demonstrated how Deep Think can be used to iterate on physical prototypes at the speed of software. When applied to things like assistive devices, this pace means faster improvements for life-changing technology (more information on this use case in the video below!) The updated Deep Think is available in Google Gemini for Google AI Ultra subscribers.

Gemini 3 Deep Think is getting an upgrade 🧠 By blending deep scientific knowledge with advanced engineering utility, Deep Think now moves beyond abstract theory to drive practical applications. Researchers are already using it to accelerate their work in the real world: — Materials science: A university lab used Deep Think to optimize the growth of complex crystals that are candidates for high-temperature semiconductors — Mechanical engineering: A researcher demonstrated how Deep Think can be used to iterate on physical prototypes at the speed of software. When applied to things like assistive devices, this pace means faster improvements for life-changing technology (more information on this use case in the video below!) The updated Deep Think is available in Google Gemini for Google AI Ultra subscribers.

Google AI

194,747 次观看 • 5 个月前

$ASML CEO Christophe Fouquet says customers are sharing longer-than-usual visibility into their own business, which has translated into strong order bookings through the first half of 2026, and ASML is adding about 30% EUV capacity in 2027 while evaluating another 30% for 2028. "Based on everything we have said so far, you can imagine that we are having very constructive discussions with our customers on the long term. Their own visibility to their business allows them to share with us also, longer than, I would say, usual visibility on their business. We are talking of course about next year, but also beyond that. Now this has also translated practically into very strong order bookings through the first half of 2026." "If we look into more detail starting with 2027, there we are pretty much already close to receive all the EUV orders we need for 2027. This is with us adding about 30% capacity for EUV in 2027 versus 2026." "When we look at 2028, we have received already a large number of orders from our customers for EUV. This has also invited us very strongly to investigate another 30% increase in our EUV capacity for 2028." "Now, of course, when EUV grows DUV grows as well. Immersion is going to be important. Also for 2027 and for 2028 we are going to look into a 30% increase of our capacity for both years." ____ Follow Fireside Alpha for more daily highlights of key business and technology conversations.

$ASML CEO Christophe Fouquet says customers are sharing longer-than-usual visibility into their own business, which has translated into strong order bookings through the first half of 2026, and ASML is adding about 30% EUV capacity in 2027 while evaluating another 30% for 2028. "Based on everything we have said so far, you can imagine that we are having very constructive discussions with our customers on the long term. Their own visibility to their business allows them to share with us also, longer than, I would say, usual visibility on their business. We are talking of course about next year, but also beyond that. Now this has also translated practically into very strong order bookings through the first half of 2026." "If we look into more detail starting with 2027, there we are pretty much already close to receive all the EUV orders we need for 2027. This is with us adding about 30% capacity for EUV in 2027 versus 2026." "When we look at 2028, we have received already a large number of orders from our customers for EUV. This has also invited us very strongly to investigate another 30% increase in our EUV capacity for 2028." "Now, of course, when EUV grows DUV grows as well. Immersion is going to be important. Also for 2027 and for 2028 we are going to look into a 30% increase of our capacity for both years." ____ Follow Fireside Alpha for more daily highlights of key business and technology conversations.

Fireside Alpha

30,680 次观看 • 26 天前

📣 New research from GenAI at Meta, introducing Meta 3D Gen: A new system for end-to-end generation of 3D assets from text in <1min. Meta 3D Gen is a new combined AI system that can generate high-quality 3D assets, with both high-resolution textures and material maps end-to-end, producing results that are superior to existing solutions — at 3-10x the speed of existing work in this space. Details in the technical report ➡️

📣 New research from GenAI at Meta, introducing Meta 3D Gen: A new system for end-to-end generation of 3D assets from text in <1min. Meta 3D Gen is a new combined AI system that can generate high-quality 3D assets, with both high-resolution textures and material maps end-to-end, producing results that are superior to existing solutions — at 3-10x the speed of existing work in this space. Details in the technical report ➡️

AI at Meta

408,842 次观看 • 2 年前

The biggest downside to Nano Banana Pro is the cost ($0.25/image) and slow generation speed. Here's a workflow that addresses both: 1 prompt = 9 distinct images at 1K resolution (~3 cents per image) The key is prompting each grid position individually, so you can test different lighting, backgrounds, or angles simultaneously. Iterate on different looks quickly and pick your winner. The workflow: → Extracts all 9 images → You select your favorite → Upscales it to 4K while referencing your input image to maintain consistency + details

The biggest downside to Nano Banana Pro is the cost ($0.25/image) and slow generation speed. Here's a workflow that addresses both: 1 prompt = 9 distinct images at 1K resolution (~3 cents per image) The key is prompting each grid position individually, so you can test different lighting, backgrounds, or angles simultaneously. Iterate on different looks quickly and pick your winner. The workflow: → Extracts all 9 images → You select your favorite → Upscales it to 4K while referencing your input image to maintain consistency + details

rob - comfyui

107,395 次观看 • 8 个月前

There are two things worth pointing out about upscaling in #AssassinCreed Black Flag Resynced. 1. Incorrect resolution scaling with Balanced and Performance modes: Using Balanced or Performance with any upscaler causes the game's Resolution Scale (output resolution) to drop, which also lowers the internal render resolution. As a result, these modes apply incorrect scaling and the image quality is noticeably worse than it should be. For now, the workaround is to set the Resolution Scale to 100% and manually adjust the Max Dynamic Resolution (internal resolution) to match the expected scaling for Balanced or Performance mode. 2. The game defaults to the older DLSS 3 CNN model: By default, the game uses the older DLSS 3 Preset E. While it's still a fine option, it doesn't match the image quality of the DLSS 4 Transformer model (Preset K) or the newer DLSS 4.5 (Preset L and M). So I highly recommend forcing at least Preset K through the NVIDIA App (or another tool). Even on RTX 20/30 series GPUs, with Preset K, you can maintain the same performance as before while getting better image quality by using a lower upscaling mode, like Balanced instead of Quality. Hopefully Ubisoft Support fixes the scaling issue and adds an in-game option to choose between DLSS 3, DLSS 4, and DLSS 4.5.

There are two things worth pointing out about upscaling in #AssassinCreed Black Flag Resynced. 1. Incorrect resolution scaling with Balanced and Performance modes: Using Balanced or Performance with any upscaler causes the game's Resolution Scale (output resolution) to drop, which also lowers the internal render resolution. As a result, these modes apply incorrect scaling and the image quality is noticeably worse than it should be. For now, the workaround is to set the Resolution Scale to 100% and manually adjust the Max Dynamic Resolution (internal resolution) to match the expected scaling for Balanced or Performance mode. 2. The game defaults to the older DLSS 3 CNN model: By default, the game uses the older DLSS 3 Preset E. While it's still a fine option, it doesn't match the image quality of the DLSS 4 Transformer model (Preset K) or the newer DLSS 4.5 (Preset L and M). So I highly recommend forcing at least Preset K through the NVIDIA App (or another tool). Even on RTX 20/30 series GPUs, with Preset K, you can maintain the same performance as before while getting better image quality by using a lower upscaling mode, like Balanced instead of Quality. Hopefully Ubisoft Support fixes the scaling issue and adds an in-game option to choose between DLSS 3, DLSS 4, and DLSS 4.5.

BenchmarKing

38,817 次观看 • 1 个月前

Gemini 3.1 Flash-Lite is our most cost-efficient Gemini 3 series model 🔦 Folks who are keen to experiment with it in Gemini CLI can do so with an API key and the -m flag. ❯ gemini -m gemini-3.1-flash-lite-preview Official support for it in /model will be coming soon 🔜

Gemini 3.1 Flash-Lite is our most cost-efficient Gemini 3 series model 🔦 Folks who are keen to experiment with it in Gemini CLI can do so with an API key and the -m flag. ❯ gemini -m gemini-3.1-flash-lite-preview Official support for it in /model will be coming soon 🔜

Gemini CLI

66,771 次观看 • 5 个月前

Rendering 3D is gonna be SO MUCH FASTER 🤯 Thanks to NVIDIA DLSS Technology 🔥 We were at the Blender 🔶 booth at SIGGRAPH 25 🇨🇦, and we saw the Demo for Blender Cycles viewport + DLSS which blew our minds. In Blender, DLSS (Deep Learning Super Sampling) uses AI to predict and reconstruct missing pixels by rendering at a lower resolution and then intelligently upscaling in real time, boosting frame rates while preserving near-native image quality. We have a FULL VLOG of SIGGRAPH coming up on our Youtube channel soon so if you wanna see all the Tech updates make sure you go and turn on notification 🔔

Rendering 3D is gonna be SO MUCH FASTER 🤯 Thanks to NVIDIA DLSS Technology 🔥 We were at the Blender 🔶 booth at SIGGRAPH 25 🇨🇦, and we saw the Demo for Blender Cycles viewport + DLSS which blew our minds. In Blender, DLSS (Deep Learning Super Sampling) uses AI to predict and reconstruct missing pixels by rendering at a lower resolution and then intelligently upscaling in real time, boosting frame rates while preserving near-native image quality. We have a FULL VLOG of SIGGRAPH coming up on our Youtube channel soon so if you wanna see all the Tech updates make sure you go and turn on notification 🔔

Bad Decisions Studio

25,574 次观看 • 11 个月前

California is deploying AI-powered, high-resolution cameras to detect drivers holding or using cell phones This new pilot program has already recording hundreds of violations This is warrantless surveillance The systems use artificial intelligence to take high-resolution images of the front seat to identify if a driver is holding a phone or texting First-time offenses can cost around $136, with second offenses resulting in higher fines and points on the DMV record They are being installed at intersections so even if your car is stopped, they can capture and and ticket you “Changing musics or looking up a quick address could also fall under that violation. So if you're sitting at a red light or just scrolling through your phone, just know that those cameras may be watching you.”

California is deploying AI-powered, high-resolution cameras to detect drivers holding or using cell phones This new pilot program has already recording hundreds of violations This is warrantless surveillance The systems use artificial intelligence to take high-resolution images of the front seat to identify if a driver is holding a phone or texting First-time offenses can cost around $136, with second offenses resulting in higher fines and points on the DMV record They are being installed at intersections so even if your car is stopped, they can capture and and ticket you “Changing musics or looking up a quick address could also fall under that violation. So if you're sitting at a red light or just scrolling through your phone, just know that those cameras may be watching you.”

Wall Street Apes

62,363 次观看 • 4 个月前

Nabavian: Clause 14 of the agreement text is very bad. They say our “guarantee” is a UNSC resolution, The final agreement, under a binding UN Security Council resolution, is not a real guarantee for Iran. We already experienced this with the JCPOA and Resolution 2231: America withdrew, but Iran remained trapped under international obligations, and snapback became possible. Once the agreement goes to the Security Council, Iran does not control the text. America and other members can add extra restrictions, just like they added missile, arms, and inspection-related issues around the JCPOA. So the guarantee should not be a UN resolution. The guarantee should be clear consequences if America violates the deal: Iran leaves the NPT, fully closes the Strait of Hormoz, resumes enrichment at any level and stockpiles it, and America must first get congressional approval. Also, if the deal is supposed to end war on all Resistance fronts, Iran’s allies must be removed from terrorist lists.

Nabavian: Clause 14 of the agreement text is very bad. They say our “guarantee” is a UNSC resolution, The final agreement, under a binding UN Security Council resolution, is not a real guarantee for Iran. We already experienced this with the JCPOA and Resolution 2231: America withdrew, but Iran remained trapped under international obligations, and snapback became possible. Once the agreement goes to the Security Council, Iran does not control the text. America and other members can add extra restrictions, just like they added missile, arms, and inspection-related issues around the JCPOA. So the guarantee should not be a UN resolution. The guarantee should be clear consequences if America violates the deal: Iran leaves the NPT, fully closes the Strait of Hormoz, resumes enrichment at any level and stockpiles it, and America must first get congressional approval. Also, if the deal is supposed to end war on all Resistance fronts, Iran’s allies must be removed from terrorist lists.

Arya Yadeghaar (Backup)

27,406 次观看 • 1 个月前

Revolutionizing Bladder Cancer Diagnosis with ZayaAI We heard you Zayans, From our last videos we understood you all want a much easier to understand explanation of our AI models. So let's dive into the latest breakthrough in AI-powered healthcare, our Bladder Cancer Detection Model. This isn't just another AI tool, it's a game-changer for pathologists. Precision, Speed and Seamless Integration: Traditional diagnosis of urothelial carcinoma (bladder cancer) is often slow and prone to errors. Our AI model automatically detects low and high-grade tumors, along with lymphovascular invasion, with unmatched accuracy and speed. That means faster results, fewer mistakes and a more efficient workflow for medical professionals. Why This Matters: 1.Faster Diagnoses → AI speeds up the process, allowing pathologists to focus on critical cases. 2.Higher Accuracy → Reduces human error and reliance on costly, time-consuming tests. 3.Seamless Integration → No need for complex system overhauls. ZayaAI fits right into existing workflows. The Future of AI in Healthcare: Embracing our AI models isn’t just about using new technology, it’s an investment in a future where healthcare is more precise, efficient and patient-focused. Pathologists get to make faster, more informed decisions and ultimately, patient outcomes improve. This is how AI is redefining medical diagnostics and can help save lives. DeSci + AI = $ZAI ! 🔬⚕️

Revolutionizing Bladder Cancer Diagnosis with ZayaAI We heard you Zayans, From our last videos we understood you all want a much easier to understand explanation of our AI models. So let's dive into the latest breakthrough in AI-powered healthcare, our Bladder Cancer Detection Model. This isn't just another AI tool, it's a game-changer for pathologists. Precision, Speed and Seamless Integration: Traditional diagnosis of urothelial carcinoma (bladder cancer) is often slow and prone to errors. Our AI model automatically detects low and high-grade tumors, along with lymphovascular invasion, with unmatched accuracy and speed. That means faster results, fewer mistakes and a more efficient workflow for medical professionals. Why This Matters: 1.Faster Diagnoses → AI speeds up the process, allowing pathologists to focus on critical cases. 2.Higher Accuracy → Reduces human error and reliance on costly, time-consuming tests. 3.Seamless Integration → No need for complex system overhauls. ZayaAI fits right into existing workflows. The Future of AI in Healthcare: Embracing our AI models isn’t just about using new technology, it’s an investment in a future where healthcare is more precise, efficient and patient-focused. Pathologists get to make faster, more informed decisions and ultimately, patient outcomes improve. This is how AI is redefining medical diagnostics and can help save lives. DeSci + AI = $ZAI ! 🔬⚕️

ZayaAI

18,015 次观看 • 1 年前

Dylan Patel of SemiAnalysis says speed is the moat in AI inference, and getting there runs through new compute (Groq/Cerebras), KV-cache offload, and networking optimization (Aria). "Most of the infrastructure is pretty optimized for high throughput, I would say, but more and more people want to pay for speed. It turns out agents are very sequential, task-oriented, and models running in sequential tasks." "Trying something, verifying it, checking if it's right, and you do that in a loop. It ends up being very slow." "And speed is the moat. The faster you go, speed is the moat." "So a lot of the workloads and high-end use cases that people are developing now are all focused on high interactivity, and the infrastructure there is quite different." "So let's break that down into a few components." "One is you can do new compute: you can do Groq or Cerebras-style compute, which is very much focused on high interactivity." "But even with existing GPUs you can do a few things. One, if you're focused heavily on time to first token, you might offload KV cache to storage, keep it cached, move it back into the compute whenever you need it, much faster than recomputing." "And the third thing you can do is you have to optimize the network."

Dylan Patel of SemiAnalysis says speed is the moat in AI inference, and getting there runs through new compute (Groq/Cerebras), KV-cache offload, and networking optimization (Aria). "Most of the infrastructure is pretty optimized for high throughput, I would say, but more and more people want to pay for speed. It turns out agents are very sequential, task-oriented, and models running in sequential tasks." "Trying something, verifying it, checking if it's right, and you do that in a loop. It ends up being very slow." "And speed is the moat. The faster you go, speed is the moat." "So a lot of the workloads and high-end use cases that people are developing now are all focused on high interactivity, and the infrastructure there is quite different." "So let's break that down into a few components." "One is you can do new compute: you can do Groq or Cerebras-style compute, which is very much focused on high interactivity." "But even with existing GPUs you can do a few things. One, if you're focused heavily on time to first token, you might offload KV cache to storage, keep it cached, move it back into the compute whenever you need it, much faster than recomputing." "And the third thing you can do is you have to optimize the network."

Fireside Alpha

281,474 次观看 • 15 天前

Sui is Live on Router Nitro Cross-chain Bridge! 💧 For the first time ever in the industry, you can go cross-chain between Sui and 30+ EVM chains, powered by Router Nitro—with speed and cost-efficiency that remain unmatched! Start now and earn 0.015 $SUI on every swap: Why This Integration Matters: 1️⃣ Get Any Token of Your Choice on Sui Using Any Token on EVM Chains: For the first time ever, you can effortlessly swap assets between Sui and EVM networks like Polygon, BNB, Ethereum, and more. 2️⃣ Earn Free Rewards: To make your entry into the Sui ecosystem even smoother, we’re giving you 0.015 $SUI for every cross-chain transfer to Sui. 3️⃣ Blazing-Fast and Cost-Efficient Transfers: With Nitro, your transactions are completed in record time at an incredibly low cost and high speed while bridging to Sui. And this is just the start! We’re also building Cross-chain Intent Adapters to make interacting with Sui-based protocols even easier. We’re talking single-click liquidity provision, staking, and more—from any chain using any asset. Read more about this integration here: Stay tuned—there’s so much more to come!

Sui is Live on Router Nitro Cross-chain Bridge! 💧 For the first time ever in the industry, you can go cross-chain between Sui and 30+ EVM chains, powered by Router Nitro—with speed and cost-efficiency that remain unmatched! Start now and earn 0.015 $SUI on every swap: Why This Integration Matters: 1️⃣ Get Any Token of Your Choice on Sui Using Any Token on EVM Chains: For the first time ever, you can effortlessly swap assets between Sui and EVM networks like Polygon, BNB, Ethereum, and more. 2️⃣ Earn Free Rewards: To make your entry into the Sui ecosystem even smoother, we’re giving you 0.015 $SUI for every cross-chain transfer to Sui. 3️⃣ Blazing-Fast and Cost-Efficient Transfers: With Nitro, your transactions are completed in record time at an incredibly low cost and high speed while bridging to Sui. And this is just the start! We’re also building Cross-chain Intent Adapters to make interacting with Sui-based protocols even easier. We’re talking single-click liquidity provision, staking, and more—from any chain using any asset. Read more about this integration here: Stay tuned—there’s so much more to come!

Router Protocol

122,973 次观看 • 1 年前