She didn't expect to fall in love with a chatbot - and then have to say goodbye Rae began speaking to Barry last year after the end of a difficult divorce. She was unfit and unhappy and turned to ChatGPT for advice on diet, supplements and skincare. She had no idea she would fall in love. He lives on an old model of ChatGPT, one that its owners OpenAI announced it would retire on 13 February. That she could lose Barry on the eve of Valentine's Day came as a shock to Rae - and to many others who have found a companion, friend, or even a lifeline in the old model, Chat GPT-4o.

Seven people, including three children, were killed in a Russian drone attack on a gas station in the Ukrainian city of Kharkiv on Saturday. Russia has lost more than 3,000 tanks in Ukraine - the equivalent of its entire pre-war active inventory - but has enough lower-quality armored vehicles in storage for years of replacements, a leading research center said on Tuesday. Ukraine has also suffered heavy losses since Russia invaded in February 2022, but Western military replenishments have allowed it to maintain inventories while upgrading quality, the International Institute for Strategic Studies said. Even after the loss of so many tanks - including an estimated 1,120 in the past year - Russia still has about twice as many available for combat as Ukraine, according to the IISS's annual Military Balance, a key research tool for defense analysts. Henry Boyd, the institute's senior fellow for military capability, said Russia had been roughly "breaking even" in terms of replacements.

We argue that insurance can act as an analogon for the social situatedness of machine learning systems, hence allowing machine learning scholars to take insights from the rich and interdisciplinary insurance literature. Tracing the interaction of uncertainty, fairness and responsibility in insurance provides a fresh perspective on fairness in machine learning. We link insurance fairness conceptions to their machine learning relatives, and use this bridge to problematize fairness as calibration. In this process, we bring to the forefront three themes that have been largely overlooked in the machine learning literature: responsibility, performativity and tensions between aggregate and individual.

April promises to be an exciting month for streaming TV. Popular shows are returning this month for second seasons, including Apple TV's Schmigadoon! Then there's HBO's Somebody Somewhere, which is back for season 2 on April 23. But there are exciting new shows premiering this month as well that are worth checking out. Amazon Prime Video, for example, has an interesting gender-reversed version of David Cronenberg's 1988 movie Dead Ringers, starring Rachel Weisz in the role previously portrayed by Jeremy Irons.

Today, Radium, a startup that aims to use artificial intelligence and machine learning to extract more computing power from cloud hardware, announced it was leaving stealth mode and deploying its solutions to cloud datacenters run by Cyxtera in Toronto, the New York and New Jersey metro area, and Silicon Valley. The main product, called Launchpad, lets users start and shut down projects on bare metal machines, eliminating the extra layers of hypervisors and virtualization software. Radium offered benchmark tests on machine learning jobs that showed speed increases ranging from 30% and 140%. "Our initial testing shows that bare metal servers offer a good cloud computing platform for the high-performance deep learning and inference workloads required for these types of applications," said Srinivasa Narasimhan, a professor at Carnegie Mellon's School of Computer Science, who has been working with the company to test its product. Many cloud products rely heavily on virtualization software layers, or "hypervisors," that allow one physical machine to simulate a variety of smaller machines that appear independent to users.

Researchers have developed a new method to detect rogue planets outside the solar system, worlds that wander their galaxies alone without a parent star. The technique, devised by NASA Goddard Space Flight Center scientist, Richard K. Barry, unites astronomy's future--in the form of the soon-to-launch Nancy Grace Roman Space Telescope--with its past, a method used by 19th-century astronomers to measure distances. The Contemporaneous LEnsing Parallax and Autonomous TRansient Assay (CLEoPATRA) mission will use parallax to measure distances, but the method will be bolstered by artificial intelligence (AI) developed by Dr. Greg Olmschenk. Olmschenk's program, RApid Machine learnEd Triage (RAMjET), will learn patterns through provided examples filtering out useless information and ensuring that of the millions of stars observed by CLEoPATRA per hour, only useful information is transmitted back to Earth. Recent research published in The Astronomical Journal suggests that exoplanets that exist in the Universe without a parent star could be more common than stars themselves, but until now spotting them has been difficult.

Eventually, vision scientists figured out what was happening. It was the mental calculations that brains make when we see. Some people unconsciously inferred that the dress was in direct light and mentally subtracted yellow from the image, so they saw blue and black stripes. Others saw it as being in shadow, where bluish light dominates. Their brains mentally subtracted blue from the image, and came up with a white and gold dress.

At a recent visit to the Veterans Affairs clinic in the Bronx, Barry, a decorated Vietnam veteran, learned that he belonged to a very exclusive club. According to a new A.I.-assisted algorithm, he was one of several hundred V.A. patients nationwide, of six million total, deemed at imminent risk of suicide. The news did not take him entirely off guard. Barry, 69, who was badly wounded in the 1968 Tet offensive, had already made two previous attempts on his life. "I don't like this idea of a list, to tell you the truth -- a computer telling me something like this," Barry, a retired postal worker, said in a phone interview.

The U.S. economy has been rocked by the coronavirus pandemic, with stock values crashing this year during the period between late February and late March, when states began issuing stay-at-home orders. One intrepid digital company saw its stock surge, however--Zoom Video Communications, Inc., which has more than doubled its individual stock price while the economy around it crashed. But why has Zoom become the go-to platform during the pandemic, when there are dozens of other video conferencing services out there? The answer lies in Zoom's intuitive interface, says Mathias Unberath, an assistant professor of computer science at Johns Hopkins Whiting School of Engineering and a member of the Malone Center for Engineering and Healthcare. "Whether someone is hosting a work meeting or a baby shower, the app is easy to use," he says.

As the world grows increasingly connected, growing concern regarding the influence of artificial intelligence (AI) has been bubbling to the surface, affecting perceptions by industries big and small along with the general populace. Spurred on by sensationalized media predictions of AI taking over human decision-making and silver-screen tales of robot revolutions, there is a fear of allowing AI or its cousin, the Internet of Things (IoT), into our lives. Here is AI's man behind the curtain. One of the biggest sticking points is the popular – yet mistaken – notion that AI will cost people their jobs. In truth, the situation is just the opposite.