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COMPUTER, ENHANCE!

International Cyber Digest

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12,246 次观看 • 5 个月前 •via X (Twitter)

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COMPUTER, ENHANCE

COMPUTER, ENHANCE

louis 🍉

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Computer, enhance! FMA-Net can turn blurry, low-quality videos into clear, high-quality ones by accurately predicting the degradation and restoration processes through advanced learning of motion patterns.

Computer, enhance! FMA-Net can turn blurry, low-quality videos into clear, high-quality ones by accurately predicting the degradation and restoration processes through advanced learning of motion patterns.

Dreaming Tulpa 🥓👑

66,667 次观看 • 2 年前

IT'S FINALLY HERE! 🔥 Super reimagined hi-res upscaling! 🔥 In Elon words: “Computer, enhance!” ✨ • Upscale & Enhance any image up to 10,000 x 10,000 pixels. • Any Midjourney image to 8x! • New Fractality slider to mimic the power of the gods. Details & tutorials 🧵👇

IT'S FINALLY HERE! 🔥 Super reimagined hi-res upscaling! 🔥 In Elon words: “Computer, enhance!” ✨ • Upscale & Enhance any image up to 10,000 x 10,000 pixels. • Any Midjourney image to 8x! • New Fractality slider to mimic the power of the gods. Details & tutorials 🧵👇

Javi Lopez ⛩️

186,444 次观看 • 2 年前

COMPUTER ENHANCE! 🔥 Magnific Precision v2 🔥 IT'S FINALLY HERE! Super natural, realistic upscales that will make you think you're looking at the original photo! Coming in 3 flavours: - Sublime - Photo - Photo Denoiser Reply "upscaler" + Bookmark for a chance to try it 👇

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Javi Lopez ⛩️

244,850 次观看 • 10 个月前

Computer Vision (5/6): To enhance the spectator experience, we project the leading sperm’s position frame by frame onto a more visually engaging 3D-rendered track. This ensures 100% accuracy while making the Sperm Race entertaining to watch since raw microscope footage is, unsurprisingly, pretty boring.

Computer Vision (5/6): To enhance the spectator experience, we project the leading sperm’s position frame by frame onto a more visually engaging 3D-rendered track. This ensures 100% accuracy while making the Sperm Race entertaining to watch since raw microscope footage is, unsurprisingly, pretty boring.

Sperm Racing

40,474 次观看 • 1 年前

NEURALINK IS BUILDING TECH YOU CONTROL WITH YOUR MIND Neuralink’s PRIME Study is testing a fully implantable, wireless brain-computer interface to let people with quadriplegia control devices just by thinking. The implant, hidden under the skin, decodes brain activity to let users operate computers or smartphones with pure intention—no wires, no physical movement. This global study aims to enhance computer control for those with spinal cord injuries or ALS. Source: Neuralink

NEURALINK IS BUILDING TECH YOU CONTROL WITH YOUR MIND Neuralink’s PRIME Study is testing a fully implantable, wireless brain-computer interface to let people with quadriplegia control devices just by thinking. The implant, hidden under the skin, decodes brain activity to let users operate computers or smartphones with pure intention—no wires, no physical movement. This global study aims to enhance computer control for those with spinal cord injuries or ALS. Source: Neuralink

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148,447 次观看 • 1 年前

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Y Combinator

155,054 次观看 • 6 个月前

I created a web app for teaching computer vision basics, allowing users to upload an image or video stream and instantly view it as a numerical pixel matrix, with options to display values in RGB, Hex, or Grayscale formats. It features predefined convolution kernels applied in real-time: - Sobel operator for edge detection (computes gradients to highlight boundaries) - Gaussian Blur: averages neighboring pixels with weights to reduce noise - Sharpen: boosts local contrast to enhance details This setup clearly visualizes how images are represented as matrices or tensors, how convolution slides kernels across pixels, and how operations like gradient computation, blurring, or sharpening modify the data step-by-step. I plan to use demos like this in my upcoming computer vision course to build intuition for fundamental image processing concepts, OpenCV filters, and CNN building blocks (e.g., why kernels extract features).

I created a web app for teaching computer vision basics, allowing users to upload an image or video stream and instantly view it as a numerical pixel matrix, with options to display values in RGB, Hex, or Grayscale formats. It features predefined convolution kernels applied in real-time: - Sobel operator for edge detection (computes gradients to highlight boundaries) - Gaussian Blur: averages neighboring pixels with weights to reduce noise - Sharpen: boosts local contrast to enhance details This setup clearly visualizes how images are represented as matrices or tensors, how convolution slides kernels across pixels, and how operations like gradient computation, blurring, or sharpening modify the data step-by-step. I plan to use demos like this in my upcoming computer vision course to build intuition for fundamental image processing concepts, OpenCV filters, and CNN building blocks (e.g., why kernels extract features).

Marco Franzon

270,367 次观看 • 8 个月前

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This perspective will be more intuitive. Fourier is building a data acquisition and training platform that integrates non-invasive brain-computer interfaces and humanoid robots. This wealth of data will enhance the intelligence level of GR-3. The goal is for GR-3 to accurately identify the brain intention signals of stroke patients during future rehabilitation training and respond in real time to guide patients in performing rehabilitation movements. For example, lifting the left hand, picking up a block from the table, etc. Of course, GR-3 can also become a life assistant controlled by a human BCI. Imagine that people with mobility impairments could also issue commands to GR-3 via BCI to open the refrigerator and get a drink.

CyberRobo

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Propbase

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Andrew D. Huberman, Ph.D.

469,593 次观看 • 26 天前

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Announcing the BOOM DAO GRANT PROGRAM!📢🚨🚀 The BOOM Grant Program is designed to accelerate the expansion of the BOOM ecosystem and enhance the broader Internet Computer ecosystem by empowering game developers to create exceptional video games on the BOOM World Protocol. By offering grants, the program encourages developers to innovate and build engaging gaming experiences that integrate seamlessly with the BOOM Gaming Guild. Game developers who participate in the BOOM Grant Program have the opportunity to integrate quests from the BOOM Gaming Guild into their games. This integration not only enriches the BOOM game platform but also rewards gamers and developers. Additionally, by incorporating BOOM Gaming Guild quests, developers can tap into the extensive Gaming Guild userbase, potentially acquiring thousands of new users. This synergy creates powerful network effects that benefit both the BOOM ecosystem and the Internet Computer ecosystem at large. Grantees can also give back to BOOM DAO through future token launches or NFT launches. The program seeks to make building games on ICP more accessible and appealing by providing the necessary financial, tech, and marketing support to promising teams and individuals. Through this initiative, game developers are equipped with the resources they need to bring their visionary games to life, contributing to interconnected gaming community on the Internet Computer blockchain. Focus Areas for the Grants 👉 Building simple, fun, casual, and visually beautiful 3D minigames using the BOOM Minigame Template, which automatically integrates ICP login and quests in the BOOM Gaming Guild. 👉 Integrating the BOOM Unity Package into your existing Unity game, deploying it on ICP using WebGL, and creating quests in the BOOM Gaming Guild for it. 👉 All games must meet the requirements of having high-quality graphics, easy-to-learn gameplay, built in Unity, optimized for WebGL, and a focus on a crypto-native user base. 👉 Overly complex games (eg. Advanced Strategy games) or visually boring games (eg. 2D or cheap graphics) will be rejected. Grant Application Process A motion proposal must be made by the game development team or individual to the BOOM SNS DAO with a detailed breakdown of their funding tier and the milestones of their grant application. This is subject to the DAO voting for approval. We are currently offering three funding tiers, and ask you to tailor your application and scope of work accordingly: 👉 5,000 USD - Your work should be scoped according to a 1-2 month timeline. 👉 10,000 USD - Your work should be scoped according to a 2-3 month timeline. 👉 25,000 USD - Your work should be scoped according to a 3-4 month timeline. More than 1 game can be built during the process of a grant, in fact BOOM DAO encourages teams to build as many high-quality games as they can during a grant timeline. The more games that can be built during a grant, the more games that are growing the BOOM ecosystem. Each grant will consist of 4 milestones, with funding being distributed in 4 equal increments. Each milestone will be accountable to a motion proposal with a detailed progress update and links to any deliverables available to review. After each milestone has been reached and approved through the motion proposal, a transfer proposal can be made for ICP tokens from the treasury using the USD value on the day of distribution. Let's grow the ICP and BOOM DAO gaming ecosystem! 🎮🌏

BOOM DAO

12,041 次观看 • 2 年前

🚀 We're thrilled to introduce Orthrus 🧬🐕—a groundbreaking mature RNA foundation model designed to push the boundaries of RNA property prediction! 🔬 What is Orthrus? Orthrus is a Mamba-based RNA foundation model, pre-trained using a novel self-supervised contrastive learning objective with biologically inspired augmentations. It optimizes the similarity between splicing isoforms and orthologous transcripts, capturing functional and evolutionary relationships to enhance mature RNA property prediction accuracy. 📑 Preprint: 💻 Code: 🌐 Project Page: 📦 Model Weights: 🧠 Why Orthrus? Decoding the RNA regulatory code is key to understanding biology, but traditional experimental approaches are slow and costly. Existing genomic foundation models rely on techniques like masked language modeling or next-token prediction, which aren't fully aligned with the complexities of genomic data—leading to suboptimal results. 🌟 Orthrus Highlights: - Biologically-Informed Contrastive Learning 🧪: A novel contrastive learning objective designed specifically for genomics, maximizing similarity between splicing isoforms and orthologous transcripts across species. - Extensive Pre-training 📊: Trained on splicing annotations from 10 species and orthologous alignments from 400+ mammalian species (Zoonomia Project), with a focus on sequences of high functional importance. - Superior Representations🏅: Orthrus outperforms existing genomic models on 5 mRNA property prediction tasks, often surpassing supervised methods with just a simple linear transformation. - Efficiency in Low-Data Settings📉: Orthrus excels in low-data regimes, achieving state-of-the-art results with as few as 45 labeled examples for fine-tuning on RNA half-life prediction. Shoutout to the amazing leading authors Phil (Phil Fradkin) and Ian (Ian Shi)! Also the work is impossible without an outstanding collaboration by Karina (Karin(a) Isaev), Brendan (Brendan Frey) , Quaid (Quaid Morris), Leo J. Lee! Vector Institute University Health Network U of T Department of Computer Science Temerty Centre for AI in Medicine (T-CAIREM) Department of Laboratory Medicine & Pathobiology

🚀 We're thrilled to introduce Orthrus 🧬🐕—a groundbreaking mature RNA foundation model designed to push the boundaries of RNA property prediction! 🔬 What is Orthrus? Orthrus is a Mamba-based RNA foundation model, pre-trained using a novel self-supervised contrastive learning objective with biologically inspired augmentations. It optimizes the similarity between splicing isoforms and orthologous transcripts, capturing functional and evolutionary relationships to enhance mature RNA property prediction accuracy. 📑 Preprint: 💻 Code: 🌐 Project Page: 📦 Model Weights: 🧠 Why Orthrus? Decoding the RNA regulatory code is key to understanding biology, but traditional experimental approaches are slow and costly. Existing genomic foundation models rely on techniques like masked language modeling or next-token prediction, which aren't fully aligned with the complexities of genomic data—leading to suboptimal results. 🌟 Orthrus Highlights: - Biologically-Informed Contrastive Learning 🧪: A novel contrastive learning objective designed specifically for genomics, maximizing similarity between splicing isoforms and orthologous transcripts across species. - Extensive Pre-training 📊: Trained on splicing annotations from 10 species and orthologous alignments from 400+ mammalian species (Zoonomia Project), with a focus on sequences of high functional importance. - Superior Representations🏅: Orthrus outperforms existing genomic models on 5 mRNA property prediction tasks, often surpassing supervised methods with just a simple linear transformation. - Efficiency in Low-Data Settings📉: Orthrus excels in low-data regimes, achieving state-of-the-art results with as few as 45 labeled examples for fine-tuning on RNA half-life prediction. Shoutout to the amazing leading authors Phil (Phil Fradkin) and Ian (Ian Shi)! Also the work is impossible without an outstanding collaboration by Karina (Karin(a) Isaev), Brendan (Brendan Frey) , Quaid (Quaid Morris), Leo J. Lee! Vector Institute University Health Network U of T Department of Computer Science Temerty Centre for AI in Medicine (T-CAIREM) Department of Laboratory Medicine & Pathobiology

Bo Wang

114,993 次观看 • 1 年前

DEEP STATE BIOLABS IN UKRAINE On the day Putin attacked Ukraine's biolabs, Zelensky ordered the destruction of state documents linked to US companies like Metabiota, where Hunter Biden was involved. On March 24, during Russia's military operation in Ukraine, Russia revealed on state media that Hunter Biden's investment fund financed the US military biological program. As Russian troops entered Ukraine, Kyiv ordered the "emergency destruction" of pathogens, including plague and anthrax, at US-funded labs near the Russian border. US intelligence dismissed Russia's claims of a US military bio-program, stating Ukraine's labs researched pathogens with public US funding. However, Jen Psaki called biolab reports Russian fake news on March 9. Hunter Biden's involvement in funding biolabs was not mentioned. In 2009, Hunter Biden co-founded Rosemont Seneca Technology Partners with Christopher Heinz, investing $500,000 in Metabiota, a San Francisco-based pathogen-research company. On March 17, the New York Times confirmed the authenticity of emails on Hunter Biden’s computer, revealing he introduced Metabiota to Burisma officials for a "science project" involving Ukrainian biolabs. Hunter Biden said, "I don’t think I made a mistake joining that board. I underestimated how it would be used against me," regarding his $50,000-a-month Burisma role during his father’s vice presidency. Metabiota worked with Black & Veatch, a US defense contractor tied to military intelligence, which built secure labs in Ukraine, per the Daily Mail. Emails show Metabiota’s vice-president Mary Guttieri wrote to Hunter Biden about geopolitical issues and leveraging their work to assert Ukraine’s independence from Russia. In 2010, Black & Veatch was commissioned by the US DoD’s Threat Reduction Agency to build a lab in Odessa to enhance Ukraine’s bioterrorism and epidemic response systems. The US Embassy in Ukraine stated its International Counterproliferation Program trains Ukrainian forces in WMD and dual-use item identification, focusing on bio-terror and WMD investigations. Victoria Nuland admitted on March 8 to biological research labs in Ukraine, noting US efforts to prevent their capture by Russia. A 2012 US National Academy of Sciences report said some Ukrainian labs were upgraded to handle dangerous pathogens like anthrax and cholera. Russia claimed evidence showed pathogens were transported to the US. The World Health Organization advised Ukraine to destroy high-threat pathogens to prevent potential spills. Putin could not allow such a threat at his border and had no choice but to launch a special mission of hitting strategic targets in Ukraine.

DEEP STATE BIOLABS IN UKRAINE On the day Putin attacked Ukraine's biolabs, Zelensky ordered the destruction of state documents linked to US companies like Metabiota, where Hunter Biden was involved. On March 24, during Russia's military operation in Ukraine, Russia revealed on state media that Hunter Biden's investment fund financed the US military biological program. As Russian troops entered Ukraine, Kyiv ordered the "emergency destruction" of pathogens, including plague and anthrax, at US-funded labs near the Russian border. US intelligence dismissed Russia's claims of a US military bio-program, stating Ukraine's labs researched pathogens with public US funding. However, Jen Psaki called biolab reports Russian fake news on March 9. Hunter Biden's involvement in funding biolabs was not mentioned. In 2009, Hunter Biden co-founded Rosemont Seneca Technology Partners with Christopher Heinz, investing $500,000 in Metabiota, a San Francisco-based pathogen-research company. On March 17, the New York Times confirmed the authenticity of emails on Hunter Biden’s computer, revealing he introduced Metabiota to Burisma officials for a "science project" involving Ukrainian biolabs. Hunter Biden said, "I don’t think I made a mistake joining that board. I underestimated how it would be used against me," regarding his $50,000-a-month Burisma role during his father’s vice presidency. Metabiota worked with Black & Veatch, a US defense contractor tied to military intelligence, which built secure labs in Ukraine, per the Daily Mail. Emails show Metabiota’s vice-president Mary Guttieri wrote to Hunter Biden about geopolitical issues and leveraging their work to assert Ukraine’s independence from Russia. In 2010, Black & Veatch was commissioned by the US DoD’s Threat Reduction Agency to build a lab in Odessa to enhance Ukraine’s bioterrorism and epidemic response systems. The US Embassy in Ukraine stated its International Counterproliferation Program trains Ukrainian forces in WMD and dual-use item identification, focusing on bio-terror and WMD investigations. Victoria Nuland admitted on March 8 to biological research labs in Ukraine, noting US efforts to prevent their capture by Russia. A 2012 US National Academy of Sciences report said some Ukrainian labs were upgraded to handle dangerous pathogens like anthrax and cholera. Russia claimed evidence showed pathogens were transported to the US. The World Health Organization advised Ukraine to destroy high-threat pathogens to prevent potential spills. Putin could not allow such a threat at his border and had no choice but to launch a special mission of hitting strategic targets in Ukraine.

MrTruthBomb

15,985 次观看 • 1 年前