Two Literal Crypto Bros Built a Real Estate Empire. In 2019, two Canadian brothers blew into Detroit with an irresistible pitch: For $50, almost anyone could become a property owner. When houses decayed and the city intervened, the blame games began. A fire broke out at 10410 Cadieux in March 2025, burning a hole in the roof. The smell hit me first: damp brick, stagnant water, mold, and bleach. I was partway down a flight of wooden stairs that led to the basement of a 1920s duplex in east Detroit, Michigan. Leading the way was Cornell Dorris, a tenant in the building for nearly a decade. Dorris is in his early forties, has two daughters who visit on weekends, and makes a living smoking meat and cooking for events. As my eyes adjusted, I made out rodent droppings and a black puddle that spread across the basement floor. "Anytime it rains, the water comes down," Dorris said. The air was unnaturally heavy, and I felt a nagging urge to leave. Dorris doesn't have a typical landlord. Almost four years ago, his building was acquired by a startup called RealToken, or RealT.

The researchers, a team of psychiatrists and psychologists at Dartmouth College's Geisel School of Medicine, acknowledge these questions in their work. But they also say that the right selection of training data--which determines how the model learns what good therapeutic responses look like--is the key to answering them. The researchers first trained their AI model, called Therabot, on conversations about mental health from across the internet. If you told this initial version of the model you were feeling depressed, it would start telling you it was depressed, too. Responses like, "Sometimes I can't make it out of bed" or "I just want my life to be over" were common, says Nick Jacobson, an associate professor of biomedical data science and psychiatry at Dartmouth and the study's senior author.

Two high school graduates who say they can't read or write are suing their respective public school systems, arguing they were not given the free public education to which they are entitled. Cornell Law School Professor William A. Jacobson, director of the Securities Law Clinic, told Fox News Digital the lawsuits signify a "much deeper problem" with the American public school system. "I think these cases reflect a deeper problem in education. For each of these cases, there are probably tens of thousands of students who never got a proper education -- they get pushed along the system," Jacobson said. "Unfortunately … we've created incentives, particularly for public school systems, to just push students along and not to hold them accountable."

Depression may live in the brain, but scientists have developed a new smartphone app to detect the disorder by looking for clues on your face. MoodCapture uses AI to assess micro-changes to a person's face - such as their gaze, eye movement, and how the person tilted their head - to determine whether they were depressed. The app, which was funded by the National Institute of Health, takes pictures with the front-facing camera and sends an alert if it identified a trend in facial expressions by looking at the position of the participants' lips, eyes and the depression lines in their face. According to the study, MoodCapture was correct in identifying people with depression 75 percent of the time. MoodCapture identified if participant's had depressive symptoms based on their facial features, lighting, and background objects About eight percent of U.S. adults are diagnosed with depression each year, amounting to roughly 21 million Americans More research still needs to be conducted, but researchers said MoodCapture could be made available to the public as early as within five years.

Judges in England and Wales will have approval for "careful use" of artificial intelligence (AI) to help produce rulings, but experts remain divided over how extensively judges or the wider law profession should seek to use the technology. "I would say AI is probably appropriate to cast a wide net to gather as much information as possible," William A. Jacobson, a Cornell University Law professor and founder of the Equal Protection Project, told Fox News Digital. "That might inform your decision, but I don't think it is at a place now – and I don't know if it ever will be – that it can actually do the sorting … and make the sort of decisions and determinations that you need to make, whether it's as a judge or a lawyer," Jacobson said. The Courts and Tribunals Judiciary, the body of various judges, magistrates, tribunal members and coroners in England and Wales, decided that judges may use AI to write opinions, and only opinions, with no leeway to use the technology for research or legal analyses due to the potential for AI to fabricate information and provide misleading, inaccurate and biased information. Caution over AI's use in the legal field partially stems from a few high-profile blunders that resulted from lawyers experimenting with the tech, which produced court filings that included references to fictional cases, known as "hallucinations."

Fox News contributor Dr. Marc Siegel weighs in on how artificial intelligence can change the patient-doctor relationship on "America's Newsroom." A study found that artificial intelligence chatbots such as the popular ChatGPT return common debunked medical stereotypes about Black people. Researchers at Stanford University ran nine medical questions through AI chatbots and found that they returned responses that contained debunked medical claims about Black people, including incorrect responses about kidney function and lung capacity, as well as the notion that Black people have different muscle mass than White people, according to a report from Axios. The team of researchers ran the nine questions through four chatbots, including OpenAI's ChatGPT and Google's Bard, that are trained to scour large amounts of internet text, the report noted, but the responses raised concerns about the growing use of AI in the medical field. A study found that artificial intelligence chatbots such as the popular ChatGPT return common debunked medical stereotypes about Black people.

An artificial intelligence framework built by MIT researchers can give an "early-alert" signal for future high-impact technologies, by learning from patterns gleaned from previous scientific publications. In a retrospective test of its capabilities, DELPHI, short for Dynamic Early-warning by Learning to Predict High Impact, was able to identify all pioneering papers on an experts' list of key seminal biotechnologies, sometimes as early as the first year after their publication. James W. Weis, a research affiliate of the MIT Media Lab, and Joseph Jacobson, a professor of media arts and sciences and head of the Media Lab's Molecular Machines research group, also used DELPHI to highlight 50 recent scientific papers that they predict will be high impact by 2023. Topics covered by the papers include DNA nanorobots used for cancer treatment, high-energy density lithium-oxygen batteries, and chemical synthesis using deep neural networks, among others. The researchers see DELPHI as a tool that can help humans better leverage funding for scientific research, identifying "diamond in the rough" technologies that might otherwise languish and offering a way for governments, philanthropies, and venture capital firms to more efficiently and productively support science.

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implementations of genetic algorithms and some of their common applications, with the aim to give you a practical understanding allowing you to solve your own unique, individual problems. After reading this book you will be comfortable with the language specific issues and concepts involved with genetic algorithms and you'll have everything you need to start building your own.

The push by the United States to send artillery to Ukraine aims to degrade Russian forces -- not only on the immediate battlefield but over the longer term, according to US Defense Secretary Lloyd Austin and military experts. The United States, France, Czech Republic and other allies are sending scores of the long-range howitzers to help Ukraine blunt Russia's mounting offensive in the eastern Donbas region. Backed by better air defense, attack drones and Western intelligence, the allies hope that Kyiv will be able to destroy a large amount of Russia's firepower in the looming showdown. After returning from Kyiv, where he met Ukraine defense chiefs and President Volodymyr Zelensky, Austin told journalists in Poland early Monday that Washington's hopes are larger than that. Russia "has already lost a lot of military capability, and a lot of its troops, quite frankly. And we want to see them not have the capability to very quickly reproduce that capability," Austin said.

This is the web version of Eye on A.I., Fortune's weekly newsletter covering artificial intelligence and business. To get it delivered weekly to your in-box, sign up here. Everyone can become a data scientist. That's the somewhat radical view of Alan Jacobson, the chief data and analytic officer at Alteryx, a company that sells data analytics software to many of the Fortune 500. Jacobson says that while he frequently hears executives complain about being unable to hire people with data science experience, let alone machine-learning skills, these executives are ignoring the amazing human resource already sitting inside their own organizations.