Visual Language Models Train Robots to Read Human Emotions
This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. As robots advance in terms of dexterity and other physical…
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How a Google DeepMind Spin-off Hunts Hidden Drug Targets
For more than a decade, artificial intelligence has been touted as a way to dramatically accelerate drug discovery. Yet despite billions of dollars in investment, relatively…
Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent
OpenAI’s fourth large language model (LLM), GPT-4, took an estimated 50 gigawatt-hours to train, or the equivalent of 5,000 American homes’ yearly power consumption. That was…
AI Can Help Track the World’s Shrinking Glaciers
Tracking how fast glaciers are shrinking is crucial for measuring the pace of climate change and projecting future sea level rises. This is normally a painstaking…
Nvidia’s AI Hardware Comes to Windows in RTX Spark PCs
At Computex 2026, an annual computer trade show held in Taipei, Taiwan, Nvidia made a long anticipated announcement—a version of the company’s Blackwell GB10 superchip for…
The Classical Advances Needed to Make Quantum Computers Tick
Quantum computers promise to one day solve problems beyond the most powerful supercomputers imaginable. But it’s often underappreciated how much classical computing it takes just to…
7 Ways New Engineers Can Flourish in the Age of AI
New graduates’ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial intelligence as leverage, not competition.Here are seven…
Why Aren’t We Measuring How AI Affects Humans?
As AI systems become more capable, a lot of resources and effort are being put toward measuring their abilities. Researchers look at technical evaluation metrics, subject…
New Server Hopes to Break Through AI’s “Memory Wall”
Memory is arguably the most serious constraint on modern AI large language models (LLMs). According to one influential paper, LLM token generation is an inherently memory-bound…
Finding Success in Industry as a Chip Designer
I have been an application-specific IC (ASIC) designer for almost three decades. Over that time, I’ve moved through the full academic trajectory, from graduate student to…