New Scientist on MSN
Why Google’s custom AI chips are shaking up the tech industry
Google is reportedly in talks to sell its tensor processing units – a type of computer chip specially designed for AI – to ...
How can components be designed for an optimal balance of minimal weight and maximum robustness? This is a challenge faced by many industries, from medical device manufacturing to the automotive and ...
Prof. Rüdiger Westermann Technical University of Munich (TUM) TUM School of Computation, Information and Technology Chair for ...
The latest M5 MacBook is barely a couple of months old, and it's already discounted heavily for Cyber Monday over at Amazon.
The Brighterside of News on MSN
Multi-wavelength photonics breakthrough performs AI math at light speed
Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data through repeated matrix operations that sit at the heart of every neural ...
Odds are the PC in your office today isn’t ready to run AI large language models (LLMs). Today, most users interact with LLMs ...
Intel is seeking an AI Frameworks Engineer to develop PyTorch, TensorFlow, and JAX for enterprise-level AI production in a variety of environments due to the te ...
The Spectrum is a very familiar black slab with blue-gray rubber keys. It plugs into your TV set and lets you play a wide variety of classic 1980s videogames – or, if you prefer, drop down to a BASIC ...
Space.com on MSN
Buzz Lightyear at 30: How sci-fi's most famous flying toy took us to infinity… and beyond
In 1995, "Toy Story" introduced one of sci-fi's greatest heroes. Thirty years on, Buzz Lightyear is still the pride of Star ...
PCMag UK on MSN
Facing Down Nvidia's DGX Boxes, Apple Shows Off Thunderbolt 5 Macs Running Trillion-Parameter AI Models Together
In an attempt to keep pace with Nvidia's DGX AI workstation desktops that can connect to take on processing bigger AI models, ...
4don MSN
Google’s TPU Chip Has Taken AI By Storm and Knocked Nvidia Stock Down. Here’s Everything to Know.
Google’s TPU chips are catching up in AI workloads, but software is what keeps Nvidia on top—at least for now.
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