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At the AWS re:Invent event, Amazon Web Services announced nine new capabilities for its machine learning service, Amazon SageMaker. The announcements bring together new capabilities like faster data preparation, a purpose-built repository for prepared data, workflow automation, greater transparency into training data to mitigate bias and explain predictions, distributed training capabilities to train large models up to two times faster, and model monitoring on edge devices.

Self-driving car company Aurora will be acquiring Uber Advanced Technologies Group (Uber ATG). In addition to acquiring ATG, Aurora is also announcing a strategic partnership with Uber that connects their technology to the ride-hailing platform.

Expansion of Septentrio’s Research & Development team enables the company to further accelerate the realization of its cutting-edge GNSS/INS solutions for professional and industrial applications in  robotics, construction, survey and mapping, maritime, logistics and unmanned aerial vehicles (UAVs).

Intel has shared an update on progress within the Intel Neuromorphic Research Community (INRC). The group has grown rapidly since its inception in 2018 and now includes more than 100 members, with Intel announcing today the addition of Lenovo, Logitech, Mercedes-Benz and Prophesee to explore the value of neuromorphic computing for business use cases. Additionally, Intel summarized a growing body of research results from INRC members that used the company’s neuromorphic research test chip, Loihi.

In a major scientific advance, the latest version of DeepMind’s AI system AlphaFold has developed a solution to the 50-year-old grand challenge of protein structure prediction, often referred to as the ‘protein folding problem’. This breakthrough could significantly accelerate biological research over the long term, unlocking new possibilities in disease understanding and drug discovery among other fields.

Autonomous systems are affecting virtually all aspects of society, so future designs must be guided by a broad range of societal stakeholders. That’s according to a new report led by …

A new machine learning algorithm is poised to help urban transportation analysts relieve bottlenecks and chokepoints that routinely snarl city traffic. The tool, called TranSEC, was developed at the U.S. Department of Energy’s Pacific Northwest National Laboratory to help urban traffic engineers get access to actionable information about traffic patterns in their cities.

In order to let their superpressure balloons navigate through the stratosphere Loon and Google AI successfully use reinforcement learning (RL). This is a type of machine learning technique that enables an agent to learn by trial and error in an interactive environment using feedback from its own actions and experiences. This contrasts against the conventional approach of the automated system following fixed procedures artisanally crafted by engineers.

Choosing the right shape will be vital for a robot’s ability to traverse a particular terrain. And it’s impossible to build and test every potential form. But now an MIT-developed system makes it possible to simulate them and determine which design works best.

Warming waters and oxygen depletion in the Red Sea could slow the flow of organic carbon from the surface into the deep ocean where it can be stored, out of reach of the atmosphere. A team of the King Abdullah University of Science & Technology has used an underwater robot to investigate the little-studied mesopelagic, or “twilight,” zone, at depths of between 100 and 1000 meters.