LAS VEGAS — Arguably the biggest game of the first two days at the Players Era Championship was Tuesday’s showdown between No. 17 Tennessee and No. 3 Houston. It was a rematch of last season’s Elite ...

Abstract: In recent years, low-precision fixed-point computation has become a widely used technique for neural network inference on FPGAs. However, this approach has some limitations, as certain ...

Floating shelves can enhance any area. You can make three of these shelves for less than $10, with no hardware required. Trump Presses Republicans to Block Vote on Epstein Files Release Scientists ...

It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go mainstream with GenAI. And now, we live in a world where AI servers crammed ...

If you're looking to get more creative with your handheld photography and need a sensor larger than 35mm for the job, Fujifilm has a new mirrorless camera to show you. Committing to the idea of a ...

It's time to see some players hit from downtown, with the traditional money balls and racks filled with balls. That's right, it's the 2025 NBA All-Star 3-Point Contest! And once again, there's some ...

SAN FRANCISCO — What is the NBA desperately looking for in All-Star weekend? Star power and actual competition. The only thing that has consistently delivered that over the last decade or so is the ...

Why floating point is important for developing machine-learning models. What floating-point formats are used with machine learning? Over the last two decades, compute-intensive artificial-intelligence ...

Multiplication on a common microcontroller is easy. But division is much more difficult. Even with hardware assistance, a 32-bit division on a modern 64-bit x86 CPU can run between 9 and 15 cycles.

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.