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A potentially high-efficiency alternative to making large genome edits: making large RNA edits via splicing! Very cool proof-of-concept from Jacob Borrajo Kamyab Javanmardi, Ph.D. ⚛️ Basem Al-Shayeb, Ph.D. 🧬 & Blainey Lab in bioRxiv

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Julia Bauman

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15,348 Aufrufe • vor 2 Jahren •via X (Twitter)

Wissenschaft & Technologie
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Profilbild von Julia Bauman
Julia Baumanvor 2 Jahren

Find the preprint here:

Profilbild von Ahmed Mahfouz
Ahmed Mahfouzvor 2 Jahren

@jacobborrajo @Kamyab_J @themicrobeguy @BlaineyLab @biorxivpreprint This looks intersting @oligogirl @PSpitali

Profilbild von Danny Diaz
Danny Diazvor 2 Jahren

@jacobborrajo @Kamyab_J @themicrobeguy @BlaineyLab @biorxivpreprint @DrJimmyDale check out Kamyab latest work. #grinding

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🚀 Reshaping drug discovery – and the future of medicine – with AI. Recursion CFO Ben Taylor joined the Opto Sessions podcast from CMC Aureon to share how Recursion uses AI, lab automation, biological data, and machine learning to improve the way new medicines are discovered and developed. 💠 They discuss: ▪️How pairing AI with lab automation across biology, chemistry, and clinical technology allows us to move beyond the ~10–12% of the genome currently addressed by approved or in-trial medicines and explore the vast realm of untapped biology. ▪️How Recursion is advancing REC-4881 for patients with familial adenomatous polyposis (FAP) — a progressive condition with no approved medical therapies — after achieving Phase 2 proof-of-concept and demonstrating meaningful reductions in polyp burden. ▪️How Recursion is compressing timelines and improving efficiency with high-quality, ML-ready data to design better molecules with ~90% fewer experimental chemistries and to run smarter, faster clinical trials. 👉 Check out the full conversation:

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BREAKING: Donald Trump announces that Elon Musk and Vivek Ramaswamy will lead the Department of Government Efficiency (DOGE) together. "Together, these two wonderful Americans will pave the way for my Administration..." "To dismantle Government Bureaucracy, slash excess regulations, cut wasteful expenditures, and restructure Federal Agencies - Essential to the "Save America" Movement." "It will become, potentially, "The Manhattan Project" of our time. Republican politicians have dreamed about the objectives of "DOGE" for a very long time. To drive this kind of drastic change, the Department of Government Efficiency will provide advice and guidance from outside of Government, and will partner with the White House and Office of Management & Budget to drive large-scale structural reform, and create an entrepreneurial approach to Government never seen before." "I look forward to Elon and Vivek making changes to the Federal Bureaucracy with an eye on efficiency and, at the same time, making life better for all Americans." "Importantly, we will drive out the massive waste and fraud which exists throughout our annual $6.5 Trillion Dollars of Government Spending." "They will work together to liberate our Economy, and make the U.S. Government accountable to "WE THE PEOPLE." Their work will conclude no later than July 4, 2026 - A smaller Government, with more efficiency and less bureaucracy, will be the perfect gift to America on the 250th Anniversary of The Declaration of Independence. I am confident they will succeed!"
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In 2005, the highest expected-value career move a finance grad could make was taking the Lehman Brothers offer. A hedge fund manager on why the smartest people make the number one career mistake: Sinan Xin joined Lehman's tech M&A group out of Penn in '06 — now runs a global EM tech long/short fund. Sinan Xin explains: "The number one mistake people make at this stage is going somewhere for what seems like a rational economic outcome." "The reason people do that is because these are intelligent people — making what seems to be a very reasonable and attractive economic choice." "But five, ten years down the line, you're surrounded by people who made the same choice you did — for a different and potentially better reason." "That's when you find you're not as competitive. You're not as passionate about generating alpha on a large cap US portfolio. You're not the expert on squeezing a millionth of a millisecond out of a trade." "Making a decision based on passion rather than pure expected value is more alpha down the line — because the fidelity in calculating those expected values is quite low." "In 2005, the expected value of taking a job offer from Lehman Brothers was quite high. The outcomes were different." "People place too much faith in their own ability to assign correct probabilities to uncertain outcomes."

Ethan Kho

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We’re thrilled to share that our MERFISH+ preprint is now live on bioRxiv!👉 In this work, the Bintu and Zhu labs (UCSD) developed MERFISH+, a next-generation spatial genomics platform that combines genome-wide RNA and epigenetic imaging over a large field of view. By introducing acrydite-modified probes covalently anchored to hydrogels, MERFISH+ achieves remarkable imaging stability and enables >1,800-gene, multi-modal, and multi-month experiments. With this platform, they, together with the Chi lab at UCSD, profiled a whole developing human heart at 12 post-conception week with merely two slides, resulting in a total of 53 slides, 3.1 million single cells and more than 30 cell types. Building upon our previous 3D reconstruction and modeling framework, Spateo ( we reconstruct the 3D human heart that nicely captures the anatomical structure of the heart, including the intricate vasculature network. Sophisticated analyses provide a holistic view of an entire organ and enable systematic characterization of 3D cellular neighborhoods and transcriptional gradients of substructures such as the descending arteries. Furthermore, using a generative integration framework for spatial multimodal data (Spateo-VI), we harmonized these MERFISH+ transcriptomic and chromatin data to reconstruct a 3D spatially-resolved multi-omics atlas of the developing human heart, shared at and MERFISH+ thus sets a new standard for large-format, multi-omic spatial profiling, enabling holistic, 3D characterization of organs at subcellular resolution. Huge congratulations to first authors Colin Kern, qingquan Zhang, @YifanLu2024 , and Jacqueline Eschbach, and to all collaborators from the Bintu, Zhu, Chi, and Qiu labs for this amazing team effort. Thanks for your diligence, creativity, and hard work on this project. We’re grateful for support from Arc Institute and our generous donors. Our lab is expanding—if you’re excited about building the next generation of single-cell and spatial genomics techniques and predictive single cell and spatial foundation models, we’re hiring! If you are interested, please reach out to me via direct message or email at [email protected]. We are excited for any potential collaborations along this line of research in Stanford, UCSF and Berkeley and other labs as well.

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The Antonov AN-124 has officially landed at NASA Wallops Flight Facility — presumably carrying Rocket Lab Neutron hardware. The aircraft traveled all the way from New Zealand, making stops in Fiji and San Bernardino, California before departing this morning for Wallops. Pictures really don’t do this thing justice. It’s a massive aircraft and was very cool to finally see in person. There was also a really nice crowd gathered at the NASA Wallops Flight Facility Visitor Center observation deck to watch the arrival. During the landing, I shot another high-speed continuous photo sequence, so I may be able to put together a video from it later. For now, I focused mostly on photos and a short video after touchdown while it rolled down the runway. The aircraft is currently parked near the end of the runway being unloaded. Definitely an exciting day out at Wallops. Thanks to all of the rocket lab community who help track this all the way to Wallops. MurrayJ jaustin175 NSF - NASASpaceflight.com

EasternShoreSpaceflight

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0:20

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NewRulesGeopolitics

36,918 Aufrufe • vor 3 Monaten

Over the past year, I’ve integrated a concept I learned from Stanley Druckenmiller into my process called “invest and then investigate.” This approach played a key role in some of my recent big trades such as $ETH and $IWM. Have you ever discovered a compelling idea, spent days or weeks researching, and by the time you’re ready, a big portion of the move has already happened? That little hesitation creates what Druck calls “psychological paralysis”—you feel locked out, and it becomes mentally harder to buy higher. You then have to watch your big trade opportunity go without you or even worse, you get FOMO and chase the move, only to get caught in the pullback. Now, whenever I sense an opportunity with serious potential, I make immediate contact. I start small, just enough to get exposure, and then gradually size up as new information confirms my thesis and price action supports it. If i already have an initial stake, even if it’s small, adding as my conviction builds feels much more natural. This helps avoid adding too much size too quick, while also buying you time to really investigate the idea and build your conviction. Sometimes that starter position gets cut entirely, other times it grows into a large position. Making that initial contact has helped me tremendously when it comes to dealing with high conviction and big swing trade opportunities. 3x time U.S Investing Champion David Ryan also uses a similar concept within his trading called “mental health buys”. He will buy a small position in a stock he wants to own but that it is not perfectly setup yet, with the goal of eventually making it a larger position. Here is a clip from Stan Druckenmiller discussing “invest and then investigate” on the In Good Company podcast.
1:13

Over the past year, I’ve integrated a concept I learned from Stanley Druckenmiller into my process called “invest and then investigate.” This approach played a key role in some of my recent big trades such as $ETH and $IWM. Have you ever discovered a compelling idea, spent days or weeks researching, and by the time you’re ready, a big portion of the move has already happened? That little hesitation creates what Druck calls “psychological paralysis”—you feel locked out, and it becomes mentally harder to buy higher. You then have to watch your big trade opportunity go without you or even worse, you get FOMO and chase the move, only to get caught in the pullback. Now, whenever I sense an opportunity with serious potential, I make immediate contact. I start small, just enough to get exposure, and then gradually size up as new information confirms my thesis and price action supports it. If i already have an initial stake, even if it’s small, adding as my conviction builds feels much more natural. This helps avoid adding too much size too quick, while also buying you time to really investigate the idea and build your conviction. Sometimes that starter position gets cut entirely, other times it grows into a large position. Making that initial contact has helped me tremendously when it comes to dealing with high conviction and big swing trade opportunities. 3x time U.S Investing Champion David Ryan also uses a similar concept within his trading called “mental health buys”. He will buy a small position in a stock he wants to own but that it is not perfectly setup yet, with the goal of eventually making it a larger position. Here is a clip from Stan Druckenmiller discussing “invest and then investigate” on the In Good Company podcast.

Bracco ⚡️

27,897 Aufrufe • vor 11 Monaten

Groq is serving the fastest responses I've ever seen. We're talking almost 500 T/s! I did some research on how they're able to do it. Turns out they developed their own hardware that utilize LPUs instead of GPUs. Here's the skinny: Groq created a novel processing unit known as the Tensor Streaming Processor (TSP) which they categorize as a Linear Processor Unit (LPU). Unlike traditional GPUs that are parallel processors with hundreds of cores designed for graphics rendering, LPUs are architected to deliver deterministic performance for AI computations. The LPU's architecture is a departure from the SIMD (Single Instruction, Multiple Data) model used by GPUs and favor a more streamlined approach that eliminate the need for complex scheduling hardware. This design allows every clock cycle to be utilized effectively, ensuring consistent latency and throughput. For developers, this means that performance can be precisely predicted and optimized which is critical in real-time AI applications. Energy efficiency is another area where LPUs shine. By reducing the overhead of managing multiple threads and avoiding the underutilization of cores, LPUs can deliver more computations per watt. Groq's innovative chip design allows multiple TSPs to be linked together without the traditional bottlenecks found in GPU clusters making them extremely scalable. This enables linear scaling of performance as more LPUs are added simplifying the hardware requirements for large-scale AI models and making it easier for developers to scale their applications without rearchitecting their systems. So what does this all mean? LPUs could provide a massive improvement compared to GPUs for serving AI applications in the future! If anything it will be great to have alternative high performing hardware since A100s and H100s are so in demand
0:48

Groq is serving the fastest responses I've ever seen. We're talking almost 500 T/s! I did some research on how they're able to do it. Turns out they developed their own hardware that utilize LPUs instead of GPUs. Here's the skinny: Groq created a novel processing unit known as the Tensor Streaming Processor (TSP) which they categorize as a Linear Processor Unit (LPU). Unlike traditional GPUs that are parallel processors with hundreds of cores designed for graphics rendering, LPUs are architected to deliver deterministic performance for AI computations. The LPU's architecture is a departure from the SIMD (Single Instruction, Multiple Data) model used by GPUs and favor a more streamlined approach that eliminate the need for complex scheduling hardware. This design allows every clock cycle to be utilized effectively, ensuring consistent latency and throughput. For developers, this means that performance can be precisely predicted and optimized which is critical in real-time AI applications. Energy efficiency is another area where LPUs shine. By reducing the overhead of managing multiple threads and avoiding the underutilization of cores, LPUs can deliver more computations per watt. Groq's innovative chip design allows multiple TSPs to be linked together without the traditional bottlenecks found in GPU clusters making them extremely scalable. This enables linear scaling of performance as more LPUs are added simplifying the hardware requirements for large-scale AI models and making it easier for developers to scale their applications without rearchitecting their systems. So what does this all mean? LPUs could provide a massive improvement compared to GPUs for serving AI applications in the future! If anything it will be great to have alternative high performing hardware since A100s and H100s are so in demand

Jay Scambler

318,228 Aufrufe • vor 2 Jahren

We are excited to share our #CORL2024 paper on learning quadrotor obstacle avoidance from the visual stream of a single #eventcamera! Trained entirely in simulation! We demonstrate obstacle avoidance both in the dark and in a forest up to 5m/s. PDF: Video: Project page: Event cameras are sensors that output per-pixel-level intensity changes at microsecond latency resolution; they feature nearly zero motion blur and high dynamic range but produce a very large volume of events under significant ego-motion and further lack a high-fidelity continuous-time sensor model in simulation, making direct #sim2real transfer not possible. By leveraging depth prediction as a pretext task, we pre-train a reactive obstacle avoidance policy with “approximated” simulated events and then fine-tune the perception component with limited events-and-depth real-world data. This technique bridges the sim2real gap for #eventcameras! As at the current state, there is no continuous-time sensor model for event cameras, we hope that this work can finally spur future research leveraging simulation for training event-vision-based policies to create faster, agile robots! Kudos to Anish Bhattacharya, @marcocannic, Vijay Kumar Nikolai Matni UZH Science University of Zurich UZH Space Hub UZH IfI European Research Council (ERC) GRASP Laboratory Penn Engineering
1:25

We are excited to share our #CORL2024 paper on learning quadrotor obstacle avoidance from the visual stream of a single #eventcamera! Trained entirely in simulation! We demonstrate obstacle avoidance both in the dark and in a forest up to 5m/s. PDF: Video: Project page: Event cameras are sensors that output per-pixel-level intensity changes at microsecond latency resolution; they feature nearly zero motion blur and high dynamic range but produce a very large volume of events under significant ego-motion and further lack a high-fidelity continuous-time sensor model in simulation, making direct #sim2real transfer not possible. By leveraging depth prediction as a pretext task, we pre-train a reactive obstacle avoidance policy with “approximated” simulated events and then fine-tune the perception component with limited events-and-depth real-world data. This technique bridges the sim2real gap for #eventcameras! As at the current state, there is no continuous-time sensor model for event cameras, we hope that this work can finally spur future research leveraging simulation for training event-vision-based policies to create faster, agile robots! Kudos to Anish Bhattacharya, @marcocannic, Vijay Kumar Nikolai Matni UZH Science University of Zurich UZH Space Hub UZH IfI European Research Council (ERC) GRASP Laboratory Penn Engineering

Davide Scaramuzza

17,219 Aufrufe • vor 1 Jahr

This is ABSOLUTELY SHOCKING & HORRIFYING, if accurate…😳😳😳 According to Alex Jones, a source said that Dan Bongino said that many high ranking officials in the Trump administration are looking to effectively “neutralize” ANY opposition or dissension coming from conservative pundits with large audiences like General Mike Flynn or Steve Bannon etc, and many others. On top of this, they are making ENEMIES LISTS of dissidents who dare to criticize the admin to destroy their lives, and apparently according to this source, Trump himself is totally oblivious to this…Which, in itself is absolutely INSANE, and very hard to believe. The second Trump admin is operating like a ruthless Bolshevik mafioso machine, shutting down any dissidents, who are even on the same side as Trump… I can’t believe I’m saying this, but this is actually WORSE than the Biden admin. Regardless about whatever you think about who or what, this is a HORRIFIC precedent being set, where our government can literally come after anyone because we are using our 1A RIGHTS.
11:45

This is ABSOLUTELY SHOCKING & HORRIFYING, if accurate…😳😳😳 According to Alex Jones, a source said that Dan Bongino said that many high ranking officials in the Trump administration are looking to effectively “neutralize” ANY opposition or dissension coming from conservative pundits with large audiences like General Mike Flynn or Steve Bannon etc, and many others. On top of this, they are making ENEMIES LISTS of dissidents who dare to criticize the admin to destroy their lives, and apparently according to this source, Trump himself is totally oblivious to this…Which, in itself is absolutely INSANE, and very hard to believe. The second Trump admin is operating like a ruthless Bolshevik mafioso machine, shutting down any dissidents, who are even on the same side as Trump… I can’t believe I’m saying this, but this is actually WORSE than the Biden admin. Regardless about whatever you think about who or what, this is a HORRIFIC precedent being set, where our government can literally come after anyone because we are using our 1A RIGHTS.

The Patriot Voice

324,614 Aufrufe • vor 7 Monaten

PFAS, also known as “forever chemicals,” are a large group of synthetic chemicals that break down very slowly over time and are linked to harmful effects on human health. They’re used in a vast array of products, from pots and pans to computers and even dental floss. Laurel Schaider, senior scientist at the Silent Spring Institute in Massachusetts, studies the spread of PFAS chemicals in the drinking water and their effects on human health. She discussed ways that people can take steps to reduce exposure to PFAS in their daily lives. “There are some things that we can do, such as avoiding buying Teflon-coated pans, skipping stain resistant or waterproof items where they're not needed,” she told Horizons host William Brangham. Schaider noted that, while formulations of food packaging have changed, her past advice has been to avoid microwave popcorn and other types of grease-proof food packaging which might contain PFAS. “People are surprised to learn that Glide dental floss is made of Teflon," she said. "There are cosmetics with PFAS." But there is a challenge, Schaider said, because the products don’t include labels that disclose if they contain these chemicals. Horizons from PBS News, dives into the science, health, technology and environmental issues making headlines each week. Visit the PBS News website to watch this week's episode.
1:34

PFAS, also known as “forever chemicals,” are a large group of synthetic chemicals that break down very slowly over time and are linked to harmful effects on human health. They’re used in a vast array of products, from pots and pans to computers and even dental floss. Laurel Schaider, senior scientist at the Silent Spring Institute in Massachusetts, studies the spread of PFAS chemicals in the drinking water and their effects on human health. She discussed ways that people can take steps to reduce exposure to PFAS in their daily lives. “There are some things that we can do, such as avoiding buying Teflon-coated pans, skipping stain resistant or waterproof items where they're not needed,” she told Horizons host William Brangham. Schaider noted that, while formulations of food packaging have changed, her past advice has been to avoid microwave popcorn and other types of grease-proof food packaging which might contain PFAS. “People are surprised to learn that Glide dental floss is made of Teflon," she said. "There are cosmetics with PFAS." But there is a challenge, Schaider said, because the products don’t include labels that disclose if they contain these chemicals. Horizons from PBS News, dives into the science, health, technology and environmental issues making headlines each week. Visit the PBS News website to watch this week's episode.

PBS News

17,214 Aufrufe • vor 6 Monaten

Wind and solar don't work at night or when the wind isn't blowing. Australia is told the solution is batteries! Real world experience shows that batteries are too expensive, too slow to build and don't last long enough to support a grid. During this session with the Australian Renewable Energy Agency (ARENA), I revisited the status of the eight large-scale battery storage projects funded in 2022, noting that $176 million had been allocated but none had completed construction by February. I was told that while all projects are progressing, some face challenges like grid connection issues. I highlighted the significant cost increase from $2.7 billion to $3.1 billion and questioned the efficiency and cost-effectiveness of these batteries compared to coal-fired power stations. I also raised concerns about the stability and reliability of renewable energy sources like solar and wind, and the additional costs associated with making them grid-compatible. Additionally, I asked ARENA about their responsibilities and the financial transparency of their operations. I emphasised the high cost of electricity in Australia compared to countries like China and criticised the impact of net-zero policies on manufacturing. We need to ditch net-zero. Use the cheap resources we have in Australia's ground for Australians first!
11:40

Wind and solar don't work at night or when the wind isn't blowing. Australia is told the solution is batteries! Real world experience shows that batteries are too expensive, too slow to build and don't last long enough to support a grid. During this session with the Australian Renewable Energy Agency (ARENA), I revisited the status of the eight large-scale battery storage projects funded in 2022, noting that $176 million had been allocated but none had completed construction by February. I was told that while all projects are progressing, some face challenges like grid connection issues. I highlighted the significant cost increase from $2.7 billion to $3.1 billion and questioned the efficiency and cost-effectiveness of these batteries compared to coal-fired power stations. I also raised concerns about the stability and reliability of renewable energy sources like solar and wind, and the additional costs associated with making them grid-compatible. Additionally, I asked ARENA about their responsibilities and the financial transparency of their operations. I emphasised the high cost of electricity in Australia compared to countries like China and criticised the impact of net-zero policies on manufacturing. We need to ditch net-zero. Use the cheap resources we have in Australia's ground for Australians first!

Malcolm Roberts 🇦🇺

21,336 Aufrufe • vor 1 Jahr

New short course: Build Long-Context AI Apps with Jamba. Learn about state space models (SSMs), which have emerged as an alternative to transformers! Specifically, Jamba is a hybrid transformer-Mamba architecture that combines strengths of the transformer with ideas from SSMs. This course is built with AI21 Labs and taught by Chen Wang and Chen Almagor. The transformer architecture is computationally expensive when handling very long input contexts. But there's an alternative called Mamba, a selective state space model that can process very long contexts with a much lower computational cost. However, researchers found that the pure Mamba architecture underperforms in understanding the context, and gives lower-quality responses. To overcome this, AI21 developed the Jamba model, which combines Mamba's computational efficiency with the transformer's attention mechanism to help with the output quality. In this course, you’ll learn about how state space models, and Jamba, work. You’ll also learn how to prompt Jamba, use it to process long documents, and build long-context RAG apps. - Learn how Jamba combines transformer and state space model architectures to achieve high performance and quality - Use the AI21 SDK, with an example of prompting over a large 200k-token annual financial report of Nvidia - Use Jamba for tool-calling, with hands-on examples from calling simple arithmetic calculations to a function that returns quarterly company financial reports. - Learn how training for long context is done, and the metrics used for its evaluation - Create a RAG app using the AI21 Conversational RAG tool and build your own RAG pipeline that uses Jamba and LangChain. By the end of this course, you'll learn how to build applications that can handle context as long as an entire book. Please sign up here:
2:04

New short course: Build Long-Context AI Apps with Jamba. Learn about state space models (SSMs), which have emerged as an alternative to transformers! Specifically, Jamba is a hybrid transformer-Mamba architecture that combines strengths of the transformer with ideas from SSMs. This course is built with AI21 Labs and taught by Chen Wang and Chen Almagor. The transformer architecture is computationally expensive when handling very long input contexts. But there's an alternative called Mamba, a selective state space model that can process very long contexts with a much lower computational cost. However, researchers found that the pure Mamba architecture underperforms in understanding the context, and gives lower-quality responses. To overcome this, AI21 developed the Jamba model, which combines Mamba's computational efficiency with the transformer's attention mechanism to help with the output quality. In this course, you’ll learn about how state space models, and Jamba, work. You’ll also learn how to prompt Jamba, use it to process long documents, and build long-context RAG apps. - Learn how Jamba combines transformer and state space model architectures to achieve high performance and quality - Use the AI21 SDK, with an example of prompting over a large 200k-token annual financial report of Nvidia - Use Jamba for tool-calling, with hands-on examples from calling simple arithmetic calculations to a function that returns quarterly company financial reports. - Learn how training for long context is done, and the metrics used for its evaluation - Create a RAG app using the AI21 Conversational RAG tool and build your own RAG pipeline that uses Jamba and LangChain. By the end of this course, you'll learn how to build applications that can handle context as long as an entire book. Please sign up here:

Andrew Ng

77,792 Aufrufe • vor 1 Jahr

Beautiful, isn't it? I'd love to see ballistic missiles launched from Canada and Saudi Arabia's KSS-III submarines. 🇨🇦🇸🇦 Hanwha Ocean emphasized the KSS-III CPS's VLS, not only the patrol capabilities in interviews and on its website. Operational-Level hypersonic missiles would be ideal here rather than HM-IV-4. So, since the KSS-III CPS model is based on Batch-II, let's look at some of the technical features of Batch-II. Its AIP, PEMFC (Proton Exchange Membrane Fuel Cell) generates electricity by reacting oxygen stored in a liquid oxygen tank with hydrogen stored in a hydrogen storage alloy. This allows conventional submarines to remain submerged for extended periods without operating diesel generators. The KSS-III Batch-I boasts a large-capacity hydrogen fuel cell with a power output of 480 kW. The capacity and number of liquid oxygen tanks and hydrogen cylinders in the KSS-III Batch-II have increased by more than 16%. Furthermore, thanks to the 22.4MWh lithium-ion batteries in Batch-II, the submerged operation time has been increased by up to three times, and high-efficiency charge/discharge efficiency and charge life have significantly improved operability and maintainability. The number of acoustic channels in the flank and bow-mounted array sensors has increased by over 30%, and a conformal bow sonar has been implemented. Even Batch-I is high-performance, so Batch-II will be even better, right? KSS-III CPS will not be exactly the same as Batch-II, but it will be very similar. An interesting anecdote occurred at the last MADEX. The Saudi Arabian Chief of Naval Operations asked, "Is it possible to export KSS-III Batch-II to Saudi Arabia?" and Korea replied, "Of course." The Saudi side then asked again, "We tried to buy submarines from Germany but failed. I'll ask again. Is it possible to export?" and Korea responded, "Of course it is possible." Cooperation with Saudi Arabia is expected to accelerate further. After delivery of submarines, subsequent missile tech transfer could potentially circumvent the MTCR. Or, they can directly deliver the weapons they need. Hanwha is reportedly preparing several more missiles for the large KVLS-II. Batch-III is expected to feature a larger VLS to launch a massive size of ballistic missiles, a diesel reformer AIP, and a new 3D conformal sonar, etc. Please check the package deal proposed by Hanwha Ocean separately. Frankly, I don't know what Australia is doing right now. Will it follow the US or return to France?
0:39

Beautiful, isn't it? I'd love to see ballistic missiles launched from Canada and Saudi Arabia's KSS-III submarines. 🇨🇦🇸🇦 Hanwha Ocean emphasized the KSS-III CPS's VLS, not only the patrol capabilities in interviews and on its website. Operational-Level hypersonic missiles would be ideal here rather than HM-IV-4. So, since the KSS-III CPS model is based on Batch-II, let's look at some of the technical features of Batch-II. Its AIP, PEMFC (Proton Exchange Membrane Fuel Cell) generates electricity by reacting oxygen stored in a liquid oxygen tank with hydrogen stored in a hydrogen storage alloy. This allows conventional submarines to remain submerged for extended periods without operating diesel generators. The KSS-III Batch-I boasts a large-capacity hydrogen fuel cell with a power output of 480 kW. The capacity and number of liquid oxygen tanks and hydrogen cylinders in the KSS-III Batch-II have increased by more than 16%. Furthermore, thanks to the 22.4MWh lithium-ion batteries in Batch-II, the submerged operation time has been increased by up to three times, and high-efficiency charge/discharge efficiency and charge life have significantly improved operability and maintainability. The number of acoustic channels in the flank and bow-mounted array sensors has increased by over 30%, and a conformal bow sonar has been implemented. Even Batch-I is high-performance, so Batch-II will be even better, right? KSS-III CPS will not be exactly the same as Batch-II, but it will be very similar. An interesting anecdote occurred at the last MADEX. The Saudi Arabian Chief of Naval Operations asked, "Is it possible to export KSS-III Batch-II to Saudi Arabia?" and Korea replied, "Of course." The Saudi side then asked again, "We tried to buy submarines from Germany but failed. I'll ask again. Is it possible to export?" and Korea responded, "Of course it is possible." Cooperation with Saudi Arabia is expected to accelerate further. After delivery of submarines, subsequent missile tech transfer could potentially circumvent the MTCR. Or, they can directly deliver the weapons they need. Hanwha is reportedly preparing several more missiles for the large KVLS-II. Batch-III is expected to feature a larger VLS to launch a massive size of ballistic missiles, a diesel reformer AIP, and a new 3D conformal sonar, etc. Please check the package deal proposed by Hanwha Ocean separately. Frankly, I don't know what Australia is doing right now. Will it follow the US or return to France?

Mason ヨンハク

14,042 Aufrufe • vor 11 Monaten

VIDEO | As INVS Kaundinya arrives in Muscat, Commodore Prashant C Menon says, "So I am Captain Prashant Menon. I am the officer in charge of the Ocean Sailing Node. So, in this expedition, my responsibility was to identify the crew, select the crew from the large group that maybe had provided for selection. And thereafter, to train them. What do you have to realise that this 1500 year old design. That means today there's nobody living who can teach the team to how to sail. For that matter, even I didn't know how to, train the people. So we undertook various iterations. We selected the team, we sent them to learn carpentry, we sent them to learn riggings, splicing, making these, eyes, and... Everything associated with difficult seamanship activities were there. So, we, the first three months, we, the team was there at the yard, learning from the craftsmen, artisans who have made this deck. Thereafter, we learned how to dock the boat, lifting, the mast can be removed. We removed the mast, got the boat dry-docked, checked the underwater inspection, and thereafter, by September, when monsoon had come down, its intensity had come down. It started affecting us. We did several days at sea sailing the boat and understanding the specifics of a boat of this kind. It is very unique. You see, today's boats have the capability of sailing upwind. Upwind, in the sense, if the wind is coming directly from ahead, of course, you can't take a sailboat right ahead, but you can do a zigzag and having its square mast, it's very different. She needs wind from behind. It's a downwind, so training to sail the boat, turning the direction of the boats, how to hoist, when to hoist, there are two masts. What is the team coordination? All these things were something new to all of us. And we went through this process." #INVSKaundinya
2:38

VIDEO | As INVS Kaundinya arrives in Muscat, Commodore Prashant C Menon says, "So I am Captain Prashant Menon. I am the officer in charge of the Ocean Sailing Node. So, in this expedition, my responsibility was to identify the crew, select the crew from the large group that maybe had provided for selection. And thereafter, to train them. What do you have to realise that this 1500 year old design. That means today there's nobody living who can teach the team to how to sail. For that matter, even I didn't know how to, train the people. So we undertook various iterations. We selected the team, we sent them to learn carpentry, we sent them to learn riggings, splicing, making these, eyes, and... Everything associated with difficult seamanship activities were there. So, we, the first three months, we, the team was there at the yard, learning from the craftsmen, artisans who have made this deck. Thereafter, we learned how to dock the boat, lifting, the mast can be removed. We removed the mast, got the boat dry-docked, checked the underwater inspection, and thereafter, by September, when monsoon had come down, its intensity had come down. It started affecting us. We did several days at sea sailing the boat and understanding the specifics of a boat of this kind. It is very unique. You see, today's boats have the capability of sailing upwind. Upwind, in the sense, if the wind is coming directly from ahead, of course, you can't take a sailboat right ahead, but you can do a zigzag and having its square mast, it's very different. She needs wind from behind. It's a downwind, so training to sail the boat, turning the direction of the boats, how to hoist, when to hoist, there are two masts. What is the team coordination? All these things were something new to all of us. And we went through this process." #INVSKaundinya

Press Trust of India

25,632 Aufrufe • vor 7 Monaten