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Category: robotics/AI

Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to determine a molecular structure—and even such massive efforts are frequently unsuccessful.

Using clever, new machine learning techniques, Stanford University Ph.D. students Stephan Eismann and Raphael Townshend, under the guidance of Ron Dror, associate professor of computer science, have developed an approach that overcomes this problem by predicting accurate structures computationally.

Most notably, their approach succeeds even when learning from only a few known structures, making it applicable to the types of whose structures are most difficult to determine experimentally.

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Israel-based AI healthtech company, DiA Imaging Analysis, which is using deep learning and machine learning to automate analysis of ultrasound scans, has closed a $14 million Series B round of funding.

Backers in the growth round, which comes three years after DiA last raised, include new investors Alchimia Ventures, Downing Ventures, ICON Fund, Philips and XTX Ventures — with existing investors also participating, including CE Ventures, Connecticut Innovations, Defta Partners, Mindset Ventures, and Dr Shmuel Cabilly. In total, it has taken in $25 million to date.

The latest financing will allow DiA to continue expanding its product range and go after new and expanded partnerships with ultrasound vendors, PACS/Healthcare IT companies, resellers and distributors while continuing to build out its presence across three regional markets.

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A Norwegian company called Yara International claims to have created the world’s first zero-emission ship that can also transport cargo autonomously. The Yara Birkeland electric cargo ship was first conceptualized in2017but now looks to make its first voyage with no crew members onboard later this year in Norway.

Yara International is a Norwegian company that was founded in1905to combat the rising famine in Europe at the time. The company created the world’s first nitrogen fertilizer, which remains its largest business focus today.

In addition to its perpetual battle against hunger, Yara focuses on emissions abatement and sustainable agricultural practices. While the company wants to continue finding success in feeding the planet, it believes it can also do so sustainably.

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New research has found that artificial intelligence (AI) analyzing medical scans can identify the race of patients with an astonishing degree of accuracy, while their human counterparts cannot. With the Food and Drug Administration (FDA) approving more algorithms for medical use, the researchers are concerned that AI could end up perpetuating racial biases. They are especially concerned that they could not figure out precisely how the machine-learning models were able to identify race, even from heavily corrupted and low-resolution images.

In the study, published on pre-print service Arxiv, an international team of doctors investigated how deep learning models can detect race from medical images. Using private and public chest scans and self-reported data on race and ethnicity, they first assessed how accurate the algorithms were, before investigating the mechanism.

“We hypothesized that if the model was able to identify a patient’s race, this would suggest the models had implicitly learned to recognize racial information despite not being directly trained for that task,” the team wrote in their research.

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https://buff.ly/3y6P5Zu #unmanned #Boeing #northropgrumman #aircraft

The Boeing-owned test Stingray, MQ-25 T1, passed fuel to an E-2D airborne early warning and control (AEW&C) receiver aircraft flown by the US Navy’s (USN’s) Air Test and Evaluation Squadron VX-20 during the event the day prior to the announcement.

“During a test flight from MidAmerica St Louis Airport on 18 August, pilots from VX-20 conducted a successful wake survey behind MQ-25 T1 to ensure performance and stability before making contact with T1’s aerial refuelling drogue. The E-2D received fuel from T1’s aerial refuelling store during the flight,” Boeing said.

This first contact for the Stingray unmanned tanker with an Advanced Hawkeye receiver aircraft came nearly three months after the first aerial refuelling test was performed on 4 June with a Boeing F/A-18F Super Hornet receiver. Both the Advanced Hawkeye and Super Hornet flights were conducted at operationally relevant speeds and altitudes, with both receiver aircraft performing manoeuvres in close proximity to the Stingray.

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Technology Breakthroughs Enable Training of 120 Trillion Parameters on Single CS-2, Clusters of up to 163 Million Cores with Near Linear Scaling, Push Button Cluster Configuration, Unprecedented Sparsity Acceleration.

For more information, please visit http://cerebras.net/product/.

About Cerebras Systems.

Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art. The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2.

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