The US has embarked on a program to develop electronic-warfare drone swarms, the latest in its multiple projects to master what could potentially be war-winning AI and drone technology, though with significant operational and strategic implications and risks.
This month, Breaking Defense reported that the US Navy is seeking industry and government agencies to participate in a July 2024 exercise called Silent Swarm 2024, which aims to demonstrate early-stage unmanned systems’ capabilities to fight on the electromagnetic battlefield.
Breaking Defense notes that the event, hosted by Naval Surface Warfare Center Crane, will showcase “swarming, small, attritable” unmanned systems capable of distributed electromagnetic attack, deception, and digital payload delivery, with the tech must be within readiness levels (TRL) two to five, with higher numbers indicating more advanced systems.
Leveraging Technology For Innovative, Patient-Centered Clinical Care — Dr. Peter Fleischut, MD — Group Senior Vice President And Chief Information & Transformation Officer, NewYork-Presbyterian Hospital
Dr. Peter M. Fleischut, M.D., is Group Senior Vice President and Chief Information and Transformation Officer at NewYork-Presbyterian (https://www.nyp.org/)where he oversees the strategic vision and management of enterprise information technology, lab operations, pharmacy operations, innovation, data and analytics, artificial intelligence, telemedicine, and cybersecurity.
Dr. Fleischut has led the development of the Hospital’s award-winning digital health services and the implementation of clinical operations at NewYork-Presbyterian David H. Koch Center, a world-class ambulatory care center. In his previous role as Senior Vice President and Chief Transformation Officer, he focused on creating a single electronic medical record across NewYork-Presbyterian and its affiliated medical schools, Weill Cornell Medicine and Columbia University Vagelos College of Physicians and Surgeons.
Amazon moves to stop people from posting AI-generated books on its marketplace, though a three-books-per-day limit still seems high given how long it takes to write an actual book.
As if being Earth’s largest sphere and having giant LED screens inside and out wasn’t enough, the MSG Sphere has announced its next plan to take Las Vegas to the future with robots.
Sphere Entertainment introduced the world to Aura, the world’s most advanced humanoid robot, that will permanently reside at the arena when it launches this month.
Five Aura robots are located at the venue’s grand atrium greeting guests as they enter and will be available to answer questions, according to MSG Ventures CEO David Dibble. The “spokesbots” will maintain life-like facial expressions and mobility on full display.
We are entering a new era of AI, one that is fundamentally changing how we relate to and benefit from technology. With the convergence of chat interfaces and large language models you can now ask for what you want in natural language and the technology is smart enough to answer, create it or take action. At Microsoft, we think about this as having a copilot to help navigate any task. We have been building AI-powered copilots into our most used and loved products – making coding more efficient with GitHub, transforming productivity at work with Microsoft 365, redefining search with Bing and Edge and delivering contextual value that works across your apps and PC with Windows.
Today we take the next step to unify these capabilities into a single experience we call Microsoft Copilot, your everyday AI companion. Copilot will uniquely incorporate the context and intelligence of the web, your work data and what you are doing in the moment on your PC to provide better assistance – with your privacy and security at the forefront. It will be a simple and seamless experience, available in Windows 11, Microsoft 365, and in our web browser with Edge and Bing. It will work as an app or reveal itself when you need it with a right click. We will continue to add capabilities and connections to Copilot across to our most-used applications over time in service of our vision to have one experience that works across your whole life.
Copilot will begin to roll out in its early form as part of our free update to Windows 11, starting Sept. 26 — and across Bing, Edge, and Microsoft 365 Copilot this fall. We’re also announcing some exciting new experiences and devices to help you be more productive, spark your creativity, and to meet the everyday needs of people and businesses.
Lung cancer is the leading cause of cancer-related deaths in the United States. Some tumors are extremely small and hide deep within lung tissue, making it difficult for surgeons to reach them. To address this challenge, UNC–Chapel Hill and Vanderbilt University researchers have been working on an extremely bendy but sturdy robot capable of traversing lung tissue.
Their research has reached a new milestone. In a new paper, published in Science Robotics, Ron Alterovitz, Ph.D., in the UNC Department of Computer Science, and Jason Akulian, MD MPH, in the UNC Department of Medicine, have proven that their robot can autonomously go from “Point A” to “Point B” while avoiding important structures, such as tiny airways and blood vessels, in a living laboratory model.
“This technology allows us to reach targets we can’t otherwise reach with a standard or even robotic bronchoscope,” said Dr. Akulian, co-author on the paper and Section Chief of Interventional Pulmonology and Pulmonary Oncology in the UNC Division of Pulmonary Disease and Critical Care Medicine. “It gives you that extra few centimeters or few millimeters even, which would help immensely with pursuing small targets in the lungs.”
Many of the genetic mutations that directly cause a condition, such as those responsible for cystic fibrosis and sickle-cell disease, tend to change the amino acid sequence of the protein that they encode. But researchers have observed only a few million of these single-letter ‘missense mutations’. Of the more than 70 million such mutations that can occur in the human genome, only a sliver have been linked conclusively to disease, and most seem to have no ill effect on health.
So when researchers and doctors find a missense mutation that they’ve never seen before, it can be difficult to know what to make of it. To help interpret such ‘variants of unknown significance’, researchers have developed dozens of computational tools that can predict whether a variant is likely to cause disease. AlphaMissense incorporates existing approaches to the problem, which are increasingly being addressed with machine learning.
Given that Stuart Russell is a co-author of the most popular textbook on AI, I can hardly think of anyone more qualified to discuss Artificial Ingelligence.
Jacopo Pantaleoni joined Nvidia in 2001 when the company had less than 500 employees. He worked on what was then a small research project to improve Nvidia’s graphics processing units so they could better render images on computers and gaming consoles.
More than two decades later, Nvidia has more than 26,000 employees and its GPUs are at the center of the generative AI explosion. Pantaleoni had climbed the ranks to become a principal engineer and research scientist, one of the highest ranking positions for an individual contributor, he says. Then, in July, as Nvidia boomed like no other company, Pantaleoni says he resigned, giving up a substantial amount of unvested stock units, after coming to a realization.
“This market of machine learning, artificial intelligence” is “almost entirely driven by the big players— Googles, Amazons, Metas”—that have the “enormous amounts of data and enormous amounts of capital” to develop AI at scale. Those companies are also Nvidia’s biggest customers. “This was not the world I wanted to help build,” he said.
