Lifeboat Foundation

Recently, Microsoft Azure joined the Top 10 club of the TOP500 super computer rankings by delivering 30.05 Petaflops. It was based on Microsoft’s recently announced Azure NDm A100 80GB v4, available on demand. These Azure NDm A100 v4 instances are powered by NVIDIA GPU acceleration and NVIDIA InfiniBand networking.

Microsoft today highlighted the latest (December 2021) MLPerf 1.1 results in which Azure delivered the #2 performance overall and the #1 performance by a cloud provider.

At its re: Invent 2021 conference today, Amazon announced Graviton3, the next generation of its custom ARM-based chip for AI inferencing applications. Soon to be available in Amazon Web Services (AWS) C7g instances, the company says that the processors are optimized for workloads including high-performance compute, batch processing, media encoding, scientific modeling, ad serving, and distributed analytics.

Alongside Graviton3, Amazon unveiled Trn1, a new instance for training deep learning models in the cloud — including models for apps like image recognition, natural language processing, fraud detection, and forecasting. It’s powered by Trainium, an Amazon-designed chip that the company last year claimed would offer the most teraflops of any machine learning instance in the cloud. (A teraflop translates to a chip being able to process 1 trillion calculations per second.)

As companies face pandemic headwinds including worker shortages and supply chain disruptions, they’re increasingly turning to AI for efficiency gains. According to a recent Algorithmia survey, 50% of enterprises plan to spend more on AI and machine learning in 2021, with 20% saying they will be “significantly” increasing their budgets for AI and ML. AI adoption is, in turn, driving cloud growth — a trend of which Amazon is acutely aware, hence the continued investments in technologies like Graviton3 and Trn1.

For the first time, computer scientists and mathematicians have used artificial intelligence to help prove or suggest new mathematical theorems in the complex fields of knot theory and representation theory.

The astonishing results have been published today in the pre-eminent scientific journal, Nature.

Professor Geordie Williamson is Director of the University of Sydney Mathematical Research Institute and one of the world’s foremost mathematicians. As a co-author of the paper, he applied the power of Deep Mind’s AI processes to explore conjectures in his field of speciality, representation theory.

ISM001-055 demonstrated highly promising results in multiple preclinical studies including in vitro biological studies, pharmacokinetic and safety studies. The compound significantly improved myofibroblast activation which contributes to the development of fibrosis. ISM001-055’s novel target is potentially relevant to a broad range of fibrotic indications.

“We are very pleased to see Insilico Medicine’s first antifibrotic drug candidate entering into the clinic,” said Feng Ren 0, PhD, CSO of Insilico Medicine. “We believe this is a significant milestone in the history of AI-powered drug discovery because to our knowledge the drug candidate is the first ever AI-discovered novel molecule based on an AI-discovered novel target. We have leveraged our end-to-end AI-powered drug discovery platform, including the usage of generative biology and generative chemistry, to discover novel biological targets and generate novel molecules with drug-like properties. ISM001-055 is the first such compound to enter the clinic, and we expect more to come in the near future [1].”

Previously, Insilico Medicine demonstrated its ability to generate drug-like hit molecules using AI with the publication of the Generative Tensorial Reinforcement Learning (GENTRL) system for a well-known target in record time [2]. It also demonstrated the target’s proof of concept by applying deep learning techniques for the identification of novel biological targets. This novel antifibrotic program combined these target discovery and generative chemistry capabilities. Notably, Insilico Medicine completed the entire discovery process from target discovery to preclinical candidate nomination within 18 months on a budget of $2.6 million.

Circa 2013 o.o

Earth dodged a gigantic space bullet Friday when the 143,000-ton asteroid known as 2012 DA14 came within 17,200 miles of the Indian Ocean. Scientists and engineers are looking for ways to head off such close calls by targeting potentially dangerous asteroids well before they’re in a position to do us any harm.

A group called the B612 Foundation (a reference to the home asteroid of the Little Prince in the classic French novella) recently announced a mission to build a spacecraft that would track dangerous midsize asteroids, and a fledgling company called Deep Space Industries has floated a plan to build swarms of robots that could mine — and even destroy — space rocks.

Continue reading “Laser system could vaporize dangerous asteroids” »

Normally, computer chips consist of electronic components that always do the same thing. In the future, however, more flexibility will be possible: New types of adaptive transistors can be switched in a flash, so that they can perform different logical tasks as needed. This fundamentally changes the possibilities of chip design and opens up completely new opportunities in the field of artificial intelligence, neural networks or even logic that works with more values than just 0 and 1.

In order to achieve this, scientists at TU Wien (Vienna) did not rely on the usual silicon technology, but on germanium. This was a success: The most flexible transistor in the world has now been produced using germanium. It has been presented in the journal ACS Nano. The special properties of germanium and the use of dedicated program gate electrodes made it possible to create a prototype for a new component that may usher in a new era of chip technology.

Is expanding its lineup of ARM-based chips for Windows and Chromebook with Snapdragon 8cx Gen 3 and 7c+ Gen 3 platforms. In addition, the company aims to power handheld gaming devices using Snapdragon G3x Gen 1 chipsets.

Snapdragon 8cx Gen 3, which, is the first 5nm PC platform, according to Qualcomm, which designed it with ultra-slim and fanless laptops in mind. It says that moving to a 5nm process node and other optimizations allowed for improved Kryo CPU performance while sustaining similar power consumption levels as Gen 2 chipsets. The company claims the chipsets will deliver up to 85 percent improved performance compared with the previous generation and up to 60 percent better per-watt performance than x86 chips.

Along with 5G and WiFi 6/6E connectivity, the platform is said to offer multi-day battery life, upgraded camera and audio functions and chip-to-cloud security. Systems with 8cx Gen 3 chipsets will be able to take advantage of “29+ TOPS of AI acceleration,” which Qualcomm claims is three times the performance of “the leading competitive platform.” The AI acceleration could speed up tasks like face detection and background blur on calls. In addition, Snapdragon 8cx Gen 3 supports up to 4K HDR camera quality, and as many as four cameras.

The race to find medical treatments for Covid-19—and future pandemics—is on, driving renewed investments by the healthcare and pharmaceutical industries in Real-World Data (RWD) and Real-World Evidence (RWE). A new report on AI and the real-world studies industry, from Deep Pharma Intelligence (DPI), Evomics Medical and The Yuan (an online forum focused on AI in healthcare, for which I am a contributor), provides fresh insights into this rapidly evolving patient-centric approach to increasing R&D efficiency, accelerating the introduction of new drugs, and improving health outcomes. Full Story:

Qualcomm kicked off its annual Snapdragon Technology Summit with its new premium smartphone SoC dubbed the Snapdragon Series 8 Gen 1. As expected, the new SoC improves performance and efficiency in every aspect of the chip, but enhancements in AI and image processing are especially important for the next generation of premium smartphones.

The new Series 8 Gen 1 SoC follows the previous Snapdragon 888 generation as Qualcomm’s premium smartphone SoC. And yes, there is a new naming convention with this generation. Rather than continuing to count up until the company runs out of numbers for new products, Qualcomm changed the naming convention to that basic series number (Series, 8, 7, 6, and 4) followed by a generational number, similar to what the company began doing with its Snapdragon 8CX SoCs for PCs. Since this is the first generation of smartphone SoCs to use the new nomenclature, the new family of devices will be “Gen 1”. For now, however, the company only announced the premium chip — the Series 8 Gen 1.

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