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Category: robotics/AI – Page 2,101

Michigan State University senior vice president Stephen Hsu, a theoretical physicist and the founder of Genomic Prediction, demonstrates how the machine learning revolution, combined with the dramatic fall in the cost of human genome sequencing, is driving a transformation in our relationship with our genes. Stephen and Azeem Azhar explore how the technology works, what predictions can and cannot yet be made (and why), and the ethical challenges created by this technology.

In this podcast, Azeem and Stephen also discuss:

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Jeff Bezos just unveiled a giant lunar-landing vehicle created by his rocket company Blue Origin.

Called “Blue Moon,” the lander is designed to deliver a variety of sizes and types of payloads to the moon’s surface, with the eventual goal of establishing what the company calls a “sustained human presence” on the moon.

The model of the Blue Moon lander that Bezos revealed today is the version designed to carry robotic and infrastructure payloads to the moon. Bezos said payloads could weigh up to 7 tons (6.5 metric tonnes). But according to the company’s website, “the larger variant of Blue Moon has been designed to land an ascent vehicle that will allow us to return Americans to the moon by 2024.” A vehicle designed for people was not shown at the event, however.

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Most antibiotics work by interfering with critical functions such as DNA replication or construction of the bacterial cell wall. However, these mechanisms represent only part of the full picture of how antibiotics act.

In a new study of antibiotic action, MIT researchers developed a new machine-learning approach to discover an additional mechanism that helps some antibiotics kill bacteria. This secondary mechanism involves activating the bacterial metabolism of nucleotides that the cells need to replicate their DNA.

“There are dramatic energy demands placed on the cell as a result of the drug stress. These energy demands require a , and some of the metabolic byproducts are toxic and help contribute to killing the cells,” says James Collins, the Termeer Professor of Medical Engineering and Science in MIT’s Institute for Medical Engineering and Science (IMES) and Department of Biological Engineering, and the senior author of the study.

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  • Bus manufacturer New Flyer has launched an autonomous technology program to develop and deploy self-driving and driver-assist technology for public transit agencies.
  • In a release, New Flyer said it will focus on building connectivity and vehicle-to-infrastructure (V2I) technology into public roadways. The company also said it will coordinate its efforts with federal agencies and industry groups working on automation, including the Society of Automotive Engineers.
  • “Transit agencies across North America have been asking for progressive technology, regulators have shown commitment and support to technology advancement, and passenger confidence has been increasing as they experience autonomous technology firsthand,” New Flyer president Chris Stoddart said in a statement.

Most major technology research has focused on smaller autonomous vehicles (AVs), with companies eyeing shared autonomous fleets or ride-hailing services. But applying self-driving technology to public transit could hold huge potential, making bus service more energy efficient and safer. Buses travel on defined routes and can be coordinated with connected infrastructure, making them a potentially appealing option for cities fearful of further congestion from autonomous fleets.

Governments have already been exploring driverless shuttles, which carry fewer people than a full-size bus and run on shorter routes. Cities like Detroit, Las Vegas and Austin, TX have all run autonomous shuttle trials. Autonomous buses have gathered more research abroad, with pilots in China and the Netherlands. Volvo recently ran trials for an 85-passenger autonomous, electric bus at Singapore’s Nanyang Technological University.

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Google.org issued an open call to organizations around the world to submit their ideas for how they could use AI to help address societal challenges. We received applications from 119 countries, spanning 6 continents with projects ranging from environmental to humanitarian. From these applications, we selected 20 organizations to support.

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May 7 (UPI) — Raytheon Company successfully tested a hot fire rocket motor for DARPA’s Multi-Azimuth Defense Fast Intercept Round Engagement System.

The test for the U.S. Defense Advanced Research Projects Agency was conducted on an undisclosed date at Yuma Proving Ground in Arizona, Raytheon announced Monday.

The MAD-FIRES interceptor is designed to provide self-defense capability that defeats multiple waves of anti-ship missiles, unmanned aerial vehicles, small planes, fast in-shore attack craft and other platforms that “pose a perennial, evolving and potentially lethal threat to ships and other maritime vessels,” according to the agency.

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Physicians making life-and-death decisions about organ transplants, cancer treatments or heart surgeries typically don’t give much thought to how artificial intelligence might help them. And that’s how researchers at Carnegie Mellon University say clinical AI tools should be designed—so doctors don’t need to think about them.

A surgeon might never feel the need to ask an AI for advice, much less allow it to make a for them, said John Zimmerman, the Tang Family Professor of Artificial Intelligence and Human-Computer Interaction in CMU’s Human-Computer Interaction Institute (HCII). But an AI might guide decisions if it were embedded in the decision-making routines already used by the clinical team, providing AI-generated predictions and evaluations as part of the overall mix of information.

Zimmerman and his colleagues call this approach “Unremarkable AI.”

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