From DALL-E 2 to ChatGPT, covering AI’s wild year | The AI Beat
From DALL-E 2 to ChatGPT, the AI beat was challenging and overwhelming in 2022. It’s been humbling. And awesome.Read More
From DALL-E 2 to ChatGPT, the AI beat was challenging and overwhelming in 2022. It’s been humbling. And awesome.Read More
Whale-sized shonisaurs dominated the ocean 230 million years ago. A fossil cluster offers a fascinating glimpse at how they lived—based on where they died.
The US is offering four more at-home tests to every household. Here’s how to get yours.
This UK-based EV conversion company took the Holy Grail of American ICE sports cars, and made it suitable for modern-day racers—so we tried the prototype.
When it rains, it pours. Here are our picks for cold, wet days—plus expert tips on deciphering product specs.
From everyday canvas sacks to rainstorm-ready sling packs, these one-strap wonders shoulder the burden.
Researchers have developed a method that allows a flapping-wing robot to land autonomously on a horizontal perch using a claw-like mechanism. The innovation could significantly expand the scope of robot-assisted tasks.
Designing a battery is a three-part process. You need a positive electrode, you need a negative electrode, and—importantly—you need an electrolyte that works with both electrodes.
Penn State researchers are looking for a safer and more efficient way to use machine learning in the real world. Using a simulated high-rise office building, they developed and tested a new reinforcement learning algorithm aimed at improving energy consumption and occupant comfort in a real-world setting.
When it comes to predicting disasters brought on by extreme events (think earthquakes, pandemics or “rogue waves” that could destroy coastal structures), computational modeling faces an almost insurmountable challenge: Statistically speaking, these events are so rare that there’s just not enough data on them to use predictive models to accurately forecast when they’ll happen next.