Summer Game Fest just wrapped up its sixth year and, like a beautifully cel-shaded version of The Blob, the show just keeps on growing. The official Summer Game Fest 2026 showcase took place on June 5, but the surrounding buffet of new game reveals, release date announcements, review opportunities and developer spotlights actually ran from June 1 all the way to June 9. That's more than an entire week of near-constant video game news and trailers to consume, and here we've gathered absolutely all of it in one tidy but lengthy package. First up, a collection of Engadget's previews and reporting from Summer Game Fest Play Days in Los Angeles, which ran from June 6-8: Control Resonant's take on New York feels like the Backrooms Silent Hill Townfall brings atmospheric horror to '90s Scotland with incredible attention to detail Saw: Genesis looks the most fun when you're the murderous mastermind Alien: Isolation 2 keeps the classic horror game's uncompromising approach to raising tension Spyro: A Realm Beyond sees the '90s purple dragon make a big comeback Be like Carl from Summer House and get in the MIX with another high-energy stream filled with great-looking upcoming indie games, gathered by the folks at the Media Indie Exchange. The MIX hosts a smattering of annual online indie showcases, and alongside in-person events, they've been spreading the good gaming word for the past 10 years.

The'painted ladies' in San Francisco on 20 August 2024. The'painted ladies' in San Francisco on 20 August 2024. Home prices in the San Francisco Bay Area's already expensive market are skyrocketing as employees at leading artificial intelligence companies come into gargantuan sums of money thanks to a boom in initial public offerings . With San Francisco's OpenAI and Anthropic, as well as SpaceX, which operates a major facility in the Los Angeles area, eyeing debuts on the stock market, the hot housing market may not abate soon. If their initial public offering (IPO) is well-received, the companies' multibillion-dollar valuations are poised to produce massive wealth for employees and executives holding shares, which experts say could trigger an uptick in demand for the Bay Area's limited housing stock.

What did T. rex's breath smell like? More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. T. tex had the strongest bite of any land animal Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . Imagine the world millions of years ago.

Plus: Autonomous drones may have killed soldiers for the first time. Imagine tuning in to the opening kickoff of a World Cup match and seeing a player intentionally kick the ball out of bounds. You may question the logic of surrendering possession seconds into a game. If you were Jesse Davis, though, you'd know that this play could be a prime setup to score. Davis is a professor of computer science at KU Leuven in Belgium and head of its Sports Analytics Lab, which has been at the vanguard of a data awakening in soccer. Using AI and data analytics, his team has uncovered hidden tactical patterns and challenged long-held assumptions about how the game should be played.

I played the ultimate game of strategy on a variety of smart chess boards to find the best for online and in-person matches. Playing chess can be challenging, fun, and at times frustrating. Garry Kasparov called the game "mental torture." With virtually limitless possibilities, chess offers unparalleled depth, and you could easily fill a library with books on how to play it. The internet has opened up a wealth of potential competitors, and smart chess boards enable you to play anyone online or off, not to mention dabble in a variety of chess programs.

The new open-source project could serve as the basis for a future of apps with features as complex as Slack, Discord, or Google Docs--but with added protection against surveillance. End-to-end encryption, in which data is encoded so that only users on either "end" of a conversation can decrypt their communications--and not the server that relays that information or any other interloper--has become the standard for modern privacy on the internet. But its very name suggests a kind of simple pipe with two openings. The metaphor, and often the encryption technology that has enabled that model, doesn't fit neatly onto the world of Slack, Discord, Google Docs, and the other multiuser, complex, collaborative software where people now live and work. So one group of cryptographers has built what they describe as the foundation for a new generation of end-to-end encrypted apps, with a new metaphor: Instead of a mere pipe, they want to create "spaces" where users can hold group conversations, host information on a server, collectively make changes to it, invite in new collaborators or kick them out, all while maintaining the same strong encryption protections that prevent the server or network eavesdroppers from accessing their data.

Air pollution remains one of the most critical environmental challenges globally, posing severe threats to public health, ecological sustainability, and climate governance. While existing physics-based and data-driven models have made progress in air quality forecasting, they often struggle to jointly capture the complex spatiotemporal dynamics and ensure spatial continuity of pollutant distributions. In this study, we introduce CTENet, a novel chemical transport deep learning model that embeds the Advection-Diffusion-Reaction equation into a Physics-Informed Neural Network (PINN) framework using an Eulerian representation to model the spatiotemporal evolution of pollutants. Extensive experiments on two real-world datasets demonstrate that CTENet consistently outperforms state-of-the-art (SOTA) baselines, achieving a remarkable RMSE improvement of 45.8% on the USA dataset and 21.0% on the China dataset.

The tension between OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei is the driving force in today's biggest technological revolution. SAN FRANCISCO/NEW YORK - If not for the intense rivalry between Anthropic and OpenAI, the generative AI boom might not have arrived so quickly. In late 2022, OpenAI caught wind that Anthropic was working on an AI-powered chatbot. OpenAI CEO Sam Altman immediately directed employees to fast-track a competing product, four people familiar with the matter said. Two weeks later, the company released ChatGPT, sparking a technological revolution that promises to overhaul the global economy and the way humans interact.

A sea drone was used to save two crew members of a downed US army helicopter off the coast of Oman earlier this week, according to the US military - making it the first publicly known instance of an unmanned vessel being used to conduct a rescue mission. President Donald Trump said the apache helicopter was shot down by Iran near the Strait of Hormuz - the dangerous waterway which has been largely blocked off to shipping since the start of the Iran war. The two soldiers were safely rescued within approximately two hours and are in stable condition, US Central Command (Centcom) said. BBC Verify has examined what we know about the drone boat and how the mission took place. What is the US sea drone?

Accurate visual localization from aerial views is a fundamental problem with applications in mapping, large-area inspection, and search-and-rescue operations. In many scenarios, these systems require high-precision localization while operating with limited resources (e.g., no internet connection or GNSS/GPS support), making large image databases or heavy 3D models impractical. Surprisingly, little attention has been given to leveraging orthographic geodata as an alternative paradigm, which is lightweight and increasingly available through free releases by governmental authorities (e.g., the European Union). To fill this gap, we propose OrthoLoC, the first large-scale dataset comprising 16,425 UAV images from Germany and the United States with multiple modalities.