Scalable Bayes nets getting some love (or at least some money).
TechCrunch
Ikigai lands $25M investment to bring generative AI to tabular data
Organizations are awash in data, but struggle with a host of challenges to actually use, organize and analyze that data. According to one estimate, companies will store 100 zettabytes of data in the cloud by 2025. But as of now, just 13% of organizations…
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A new startup founded by former members of team that created TensorFlow.js at Google Brain.
A new Open Source product to analyze, structure and clean data with AI.
A new Open Source product to analyze, structure and clean data with AI.
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Bond Tokenisation. The Hong Kong Monetary Authority released a report titled “Bond Tokenisation in Hong Kong”
Bond tokenisation is one of the pilot projects announced in the Policy Statement on Development of Virtual Assets in Hong Kong issued by the Financial Services and the Treasury Bureau last October.
In February this year, the HKMA assisted the Government in the successful offering of HK$800 million of tokenised green bond under the Government Green Bond Programme (the Tokenised Green Bond), marking the first tokenised green bond issued by a government globally.
The use of distributed ledger technology has been applied to primary issuance, settlement of secondary trading and coupon payment, and will be tested out in maturity redemption.
The Report :
- sets out details of the Tokenised Green Bond, and suggests available options with regard to salient aspects of a tokenised bond transaction in Hong Kong ranging from technology and platform design to deal structuring considerations.
- serves as a blueprint for potential similar issuances in Hong Kong.
- considers what could further be done to promote tokenisation in the bond market; these include exploring further use cases, addressing issues of fragmentation across platforms and systems, and enhancing Hong Kong’s legal and regulatory framework.
- enables market participants to draw reference from HKMA’s experience when considering tokenised issuances in Hong Kong.
Bond tokenisation is one of the pilot projects announced in the Policy Statement on Development of Virtual Assets in Hong Kong issued by the Financial Services and the Treasury Bureau last October.
In February this year, the HKMA assisted the Government in the successful offering of HK$800 million of tokenised green bond under the Government Green Bond Programme (the Tokenised Green Bond), marking the first tokenised green bond issued by a government globally.
The use of distributed ledger technology has been applied to primary issuance, settlement of secondary trading and coupon payment, and will be tested out in maturity redemption.
The Report :
- sets out details of the Tokenised Green Bond, and suggests available options with regard to salient aspects of a tokenised bond transaction in Hong Kong ranging from technology and platform design to deal structuring considerations.
- serves as a blueprint for potential similar issuances in Hong Kong.
- considers what could further be done to promote tokenisation in the bond market; these include exploring further use cases, addressing issues of fragmentation across platforms and systems, and enhancing Hong Kong’s legal and regulatory framework.
- enables market participants to draw reference from HKMA’s experience when considering tokenised issuances in Hong Kong.
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Researchers applied an algorithm from a video game to study the dynamics of molecules in living brain cells
Dr. Tristan Wallis and Professor Frederic Meunier from UQ’s Queensland Brain Institute came up with the idea while in lockdown during the COVID-19 pandemic.
“Combat video games use a very fast algorithm to track the trajectory of bullets, to ensure the correct target is hit on the battlefield at the right time,” Dr Wallis said. “The technology has been optimized to be highly accurate, so the experience feels as realistic as possible. We thought a similar algorithm could be used to analyze tracked molecules moving within a brain cell.”
Until now, technology has only been able to detect and analyze molecules in space, and not how they behave in space and time.
“Scientists use super-resolution microscopy to look into live brain cells and record how tiny molecules within them cluster to perform specific functions,” Dr Wallis said. “Individual proteins bounce and move in a seemingly chaotic environment, but when you observe these molecules in space and time, you start to see order within the chaos. It was an exciting idea – and it worked.”
Dr. Wallis used coding tools to build an algorithm that is now used by several labs to gather rich data about brain cell activity.
Dr. Tristan Wallis and Professor Frederic Meunier from UQ’s Queensland Brain Institute came up with the idea while in lockdown during the COVID-19 pandemic.
“Combat video games use a very fast algorithm to track the trajectory of bullets, to ensure the correct target is hit on the battlefield at the right time,” Dr Wallis said. “The technology has been optimized to be highly accurate, so the experience feels as realistic as possible. We thought a similar algorithm could be used to analyze tracked molecules moving within a brain cell.”
Until now, technology has only been able to detect and analyze molecules in space, and not how they behave in space and time.
“Scientists use super-resolution microscopy to look into live brain cells and record how tiny molecules within them cluster to perform specific functions,” Dr Wallis said. “Individual proteins bounce and move in a seemingly chaotic environment, but when you observe these molecules in space and time, you start to see order within the chaos. It was an exciting idea – and it worked.”
Dr. Wallis used coding tools to build an algorithm that is now used by several labs to gather rich data about brain cell activity.
SciTechDaily
Video Games Spark Exciting “New Frontier in Neuroscience”
Researchers from The University of Queensland applied an algorithm from a video game to study the dynamics of molecules in living brain cells. Dr. Tristan Wallis and Professor Frederic Meunier from UQ’s Queensland Brain Institute came up with the idea while…
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⚡️ Google Gemini eats the world – Gemini Smashes GPT-4 By 5X
The GPU-Poors, MosaicML, Together, and Hugging face
Broken Open-Source
Compute Resources That Make Everyone Look GPU-Poor
Google Cloud TPU wins
The GPU-Poors, MosaicML, Together, and Hugging face
Broken Open-Source
Compute Resources That Make Everyone Look GPU-Poor
Google Cloud TPU wins
Semianalysis
Google Gemini Eats The World – Gemini Smashes GPT-4 By 5X, The GPU-Poors
Compute Resources That Make Everyone Look GPU-Poor
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OpenAI introduced ChatGPT Enterprise: enterprise-grade security, unlimited high-speed GPT-4 access, extended context windows, and much more.
Bye bye a bunch of startups…
Bye bye a bunch of startups…
Openai
Introducing ChatGPT Enterprise
Get enterprise-grade security & privacy and the most powerful version of ChatGPT yet.
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Baidu Apollo Go has launched driverless airport transportation services at Wuhan Tianhe International Airport. This expansion links urban and airport travel for the first time in China, and bridges city roads and highways.
PR Newswire
Baidu Becomes First in China to Offer Driverless Airport Rides
/PRNewswire/ -- Baidu, Inc. (NASDAQ: BIDU and HKEX: 9888) ("Baidu" or the "Company"), a leading AI company with strong internet foundation, today announced the...
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Scientists have discovered a previously unknown mechanism by which cells break down proteins that are no longer needed
Their discovery potentially provides a new pathway that could be useful for tackling many diseases including cancer.
It’s a example of the important research that AlphaFold is helping to enable.
Their discovery potentially provides a new pathway that could be useful for tackling many diseases including cancer.
It’s a example of the important research that AlphaFold is helping to enable.
hms.harvard.edu
Scientists Discover Previously Unknown Way Cells Break Down Proteins
The mechanism degrades short-lived proteins that support brain and immune functions
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Huawei graphics chips already match Nvidia’s A100 in terms of capability, and Huawei will soon take the dominant position in computing power away from Nvidia, media report, citing the chairman of China’s iFlytek, which is poised to launch a GPT-4 rival.
TechNode
iFlytek poised to launch GPT-4 competitor · TechNode
SparkDesk, a large language model developed by Chinese voice-recognition company iFlytek, is expected to be benchmarked against GPT-4 in the first half of
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DeepMind launched 𝗦𝘆𝗻𝘁𝗵𝗜𝗗: a digital tool to watermark and identify AI-generated images.
SynthID can embed a digital watermark directly into the pixels of AI-generated images, making it imperceptible to the human eye.
By scanning an image for the watermark, SynthID can assess the likelihood of it being created on Imagen.
SynthID can embed a digital watermark directly into the pixels of AI-generated images, making it imperceptible to the human eye.
By scanning an image for the watermark, SynthID can assess the likelihood of it being created on Imagen.
Deepmind
Identifying AI-generated images with SynthID
Today, in partnership with Google Cloud, we’re beta launching SynthID, a new tool for watermarking and identifying AI-generated images. It’s being released to a limited number of Vertex AI customers using Imagen, one of our latest text-to-image models that…
Tesla is about to flip the switch on its new AI cluster, featuring 10,000 Nvidia H100 compute GPUs.
Tesla launched its highly-anticipated supercomputer yesterday. The machine will be used for various AI applications, but the cluster is so powerful that it could also be used for demanding high-performance computing (HPC) workloads.
In fact, the Nvidia H100-based supercomputer will be one of the most powerful machines in the world.
Tesla's new cluster will employ 10,000 Nvidia H100 compute GPUs, which will offer a peak performance of 340 FP64 PFLOPS for technical computing and 39.58 INT8 ExaFLOPS for AI applications. In fact, Tesla’s 340 FP64 PFLOPS is higher than 304 FP64 PFLOPS offered by Leonardo, the world’s fourth highest-performing supercomputer.
With its new supercomputer, Tesla is significantly enhancing its computing capabilities to train its full self-driving (FSD) technology faster than ever. This could not only make Tesla more competitive than other automakers but will make the company the owner of one of the world's fastest supercomputers.
Tesla launched its highly-anticipated supercomputer yesterday. The machine will be used for various AI applications, but the cluster is so powerful that it could also be used for demanding high-performance computing (HPC) workloads.
In fact, the Nvidia H100-based supercomputer will be one of the most powerful machines in the world.
Tesla's new cluster will employ 10,000 Nvidia H100 compute GPUs, which will offer a peak performance of 340 FP64 PFLOPS for technical computing and 39.58 INT8 ExaFLOPS for AI applications. In fact, Tesla’s 340 FP64 PFLOPS is higher than 304 FP64 PFLOPS offered by Leonardo, the world’s fourth highest-performing supercomputer.
With its new supercomputer, Tesla is significantly enhancing its computing capabilities to train its full self-driving (FSD) technology faster than ever. This could not only make Tesla more competitive than other automakers but will make the company the owner of one of the world's fastest supercomputers.
Tom's Hardware
Tesla's $300 Million AI Cluster Is Going Live Today
Tesla is about to flip the switch on its new AI cluster, featuring 10,000 Nvidia H100 compute GPUs.
The scaling hypothesis of LLMs in biology - to what degree increasing the size of a model and training set improves performance and enables general purpose algorithms - will be the most interesting experiment in computational biology of the next decade.
This will require a better understanding of what protein language models learn about the underlying biology (eg sequence-structure-function relationships), and overcoming the context limitation of training LLMs on a single biological data type in order to capture the broader cellular/physiological context of a biological system.
This will require a better understanding of what protein language models learn about the underlying biology (eg sequence-structure-function relationships), and overcoming the context limitation of training LLMs on a single biological data type in order to capture the broader cellular/physiological context of a biological system.
Forbes
Ex-Meta Researchers Have Raised $40 Million From Lux Capital For An AI Biotech Startup
Alex Rives, the research lead of Meta’s former AI protein team, is interim CEO for new startup EvolutionaryScale, which is developing biological large language models.
From Concussion to Alzheimer’s: Mini-Brain Unlocks Time Link
Researchers developed a “TBI on a Chip” to explore links between TBI and Alzheimer’s
Study:
- Researchers exposed the functioning clusters of cultured neurons from mice
- to 3 blows of 200 g-force,
- each approximating the higher end of what a football player receives in a single hit
- Using a device with a pendulum to deliver a specific g-force
- to a chamber with a cluster of a quarter million neurons.
Key Findings:
1) Within the first 24 hours after a hit:
- 350% increase in the production of misfolded AB42,
- linking immediate effects of TBI to long-term alzheimers risk.
2) The device utilizes a microelectronic array to measure neuronal electrical activity
3) Hydralazine (an FDA-approved drug for lowering blood pressure)
was found effective in reducing the levels of acrolein and misfolded AB42.
“This amyloid beta pathology started within hours, maybe immediately. That’s never been heard of,” Shi said.
“It’s like attacking the weight-bearing stud in a house wall. If you break that stud, ... the house is going to fall down.”
Future directions:
The device can also be used to test possible therapeutics, including drugs known to reduce acrolein levels.
Researchers developed a “TBI on a Chip” to explore links between TBI and Alzheimer’s
Study:
- Researchers exposed the functioning clusters of cultured neurons from mice
- to 3 blows of 200 g-force,
- each approximating the higher end of what a football player receives in a single hit
- Using a device with a pendulum to deliver a specific g-force
- to a chamber with a cluster of a quarter million neurons.
Key Findings:
1) Within the first 24 hours after a hit:
- 350% increase in the production of misfolded AB42,
- linking immediate effects of TBI to long-term alzheimers risk.
2) The device utilizes a microelectronic array to measure neuronal electrical activity
3) Hydralazine (an FDA-approved drug for lowering blood pressure)
was found effective in reducing the levels of acrolein and misfolded AB42.
“This amyloid beta pathology started within hours, maybe immediately. That’s never been heard of,” Shi said.
“It’s like attacking the weight-bearing stud in a house wall. If you break that stud, ... the house is going to fall down.”
Future directions:
The device can also be used to test possible therapeutics, including drugs known to reduce acrolein levels.
Neuroscience News
From Concussion to Alzheimer’s: Mini-Brain Unlocks Time-Sensitive Link
Researchers developed a "traumatic brain injury (TBI) on a chip" to explore the links between concussions and Alzheimer's disease.
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The biggest surprise at HotChips is Numenta.
Although some of the tech details were undisclosed, they seem to exploit sparsity in SW in extreme to beat CPUs in low batch inference.
They are 3x faster on 48 client one shot BERT inference vs 8-batch A100.
This was achieved with Xeon MAX w/AMX & HBM but obviously more memory bound than compute.
Although some of the tech details were undisclosed, they seem to exploit sparsity in SW in extreme to beat CPUs in low batch inference.
They are 3x faster on 48 client one shot BERT inference vs 8-batch A100.
This was achieved with Xeon MAX w/AMX & HBM but obviously more memory bound than compute.
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Faster than Nvidia H100
Habana Labs Gaudi2 achieves up to a x1.4 speedup compared to H100 for training a vision-language model like BridgeTower.
Habana Labs Gaudi2 achieves up to a x1.4 speedup compared to H100 for training a vision-language model like BridgeTower.
huggingface.co
Accelerating Vision-Language Models: BridgeTower on Habana Gaudi2
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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Baidu among first cos. to get Beijing's nod to roll out their AI models to the public.
The approvals officially bring ChatGPT-style services to one billion or more internet users for the first time.
The approvals officially bring ChatGPT-style services to one billion or more internet users for the first time.
Bloomberg.com
Baidu, SenseTime Among First Firms to Win China AI Approval
China approved the first batch of generative artificial intelligence services for public rollout, freeing up homegrown technology champions including Baidu Inc. and SenseTime Group Inc. to openly compete with the likes of OpenAI Inc. and Microsoft Corp.
Ready Player Me launches AI-based Copilot to help developers streamline avatars
Ready Player Me a provider of cross-platform avatar platforms, is introducing Copilot, a new tool fueled by OpenAI’s GPT-4 and OpenCopilot.
Designed to assist developers in seamlessly integrating the avatar platform into their applications and games, Copilot leverages machine learning and extensive training on technical documentation and support tickets.
Ready Player Me offers a range of free tools, including Unity and Unreal Engine SDKs, as well as web integration tools.
By integrating Ready Player Me’s platform, companies can save valuable development resources that would have been spent on creating their own avatar system from scratch. This integration streamlines the process, saving both time and money.
Ready Player Me a provider of cross-platform avatar platforms, is introducing Copilot, a new tool fueled by OpenAI’s GPT-4 and OpenCopilot.
Designed to assist developers in seamlessly integrating the avatar platform into their applications and games, Copilot leverages machine learning and extensive training on technical documentation and support tickets.
Ready Player Me offers a range of free tools, including Unity and Unreal Engine SDKs, as well as web integration tools.
By integrating Ready Player Me’s platform, companies can save valuable development resources that would have been spent on creating their own avatar system from scratch. This integration streamlines the process, saving both time and money.
VentureBeat
Ready Player Me launches AI-based Copilot to help developers streamline avatars
Ready Player Me, a provider of cross-platform avatar platforms, is introducing Copilot, a new tool fueled by OpenAI's GPT-4 and OpenCopilot.
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Open source AI grants from a16z
Andreessen Horowitz
Supporting the Open Source AI Community
We believe artificial intelligence has the power to save the world—and that a thriving open source ecosystem is essential to building this future. Thankfully, the open source ecosystem is starting to develop, and we are now seeing open source …
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Fasikl announced that it has received two simultaneous breakthrough device designations from the U.S. FDA for its minimally invasive implantable platform:
The MindForceTM NCI System is a nerve-computer interface system that enables amputees and paralyzed patients to effortlessly control a robotic hand or computer device, with precise control over individual finger joints and allows them to be able to do everyday tasks, simply by thinking.
The EpioneTM system effectively alleviates chronic, intractable postamputation pain by recreating sensations through peripheral neurostimulation.
The MindForceTM NCI System is a nerve-computer interface system that enables amputees and paralyzed patients to effortlessly control a robotic hand or computer device, with precise control over individual finger joints and allows them to be able to do everyday tasks, simply by thinking.
The EpioneTM system effectively alleviates chronic, intractable postamputation pain by recreating sensations through peripheral neurostimulation.
Fasikl
Fasikl Unveils Breakthrough Neural Technology Platform
Fasikl's advanced neural technology platform can facilitate therapies capable of improving existing & traditional medical approaches. #AI #MedTech
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Jais is a bi-lingual GPT model trained on our recently-announced Condor Galaxy 1 AI supercomputer, with a unique combination of Arabic, English, and code.
It is a product of strategic partnership with G42, co-developed by G42's Inception, MBZUAI (Mohamed bin Zayed University of Artificial Intelligence), and Cerebras Systems.
The model is open-source posted on Hugging Face with a permissive Apache 2.0 license for research and commercial use, to better engage and enable Arabic and multi-lingual communities of users, researchers, open and enterprise application developers.
It is a product of strategic partnership with G42, co-developed by G42's Inception, MBZUAI (Mohamed bin Zayed University of Artificial Intelligence), and Cerebras Systems.
The model is open-source posted on Hugging Face with a permissive Apache 2.0 license for research and commercial use, to better engage and enable Arabic and multi-lingual communities of users, researchers, open and enterprise application developers.
www.cerebras.net
Meet “Jais”, The World’s Most Advanced Arabic Large Language Model Open Sourced by G42’s Inception - Cerebras
Developed in partnership with MBZUAI, Jais was trained on the Condor Galaxy 1 AI supercomputer on 116 billion Arabic tokens and 279 billion English tokens of data