MIT engineers develop a magnetic transistor for more energy-efficient electronics

A new device concept opens the door to compact, high-performance transistors with built-in memory.

MIT News MIT engineers develop a magnetic transistor for more energy-efficient electronics

AI Rings on Fingers Can Interpret Sign Language

Electronic rings wirelessly connected to an AI system are capable of translating multiple sign languages into text, a new study finds.“I believe this is an important step toward making sign language translation systems more practical, lightweight, and usable in real-world environments,” says Ki Jun Yu, an associate professor of electrical and electronic engineering at Yonsei University in Korea.More than 300 differen tsign languages are used worldwide, and many research projects are developing translation devices for communicating with people who do not know a sign language. However, these projects have faced many setbacks.For example, some projects used cameras and computer vision algor..

IEEE Spectrum > Artificial Intelligence

Video Friday: Heavy Robotic Machinery Operates Itself

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.ICRA 2026: 1–5 June 2026, VIENNARSS 2026: 13–17 July 2026, SYDNEYSummer School on Multi-Robot Systems: 29 July–4 August 2026, PRAGUEActuate 2026: 18–19 August 2026, SAN FRANCISCOEnjoy today’s videos! Bulk material handling is a critical, labor-intensive operation across various industries, traditionally performed by human operators using heavy hydraulic manipulators equipped with free-swinging, underactuated grippers. This work presents the f..

IEEE Spectrum > Robotics

A novel deep learning architecture for multi-source data fusion

Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different sources for numerous tasks, such as reconstruction, classification, and prediction, for next-generation applications. However, the effective fusion and interpretation of these multi-source datasets remain challenging, making it a thriving area of research.

Phys.org > Computer Sciences A novel deep learning architecture for multi-source data fusion

Accelerating Chipmaking Innovation for the Energy-Efficient AI Era

This sponsored article is brought to you by Applied Materials.At pivotal moments in history, progress has required more than individual brilliance. The most consequential breakthroughs — such as those achieved under the Human Genome Project — required a new operating paradigm: Concentrate the world’s best talent around a single mission, establish a common platform, share critical infrastructure, and collapse feedback loops. When stakes are high and timelines are compressed, sequential and siloed innovation simply cannot keep pace.Today’s AI era is creating an engineering race with similar demands. Every company is pushing to deliver higher-performance AI systems, faster. But performa..

IEEE Spectrum > Computing

Graphene “Tattoos” for Plants Could Form Neural Networks

A hydrated leaf is a healthy leaf. That’s true for the leaves of crop plants in a farmer’s field and for the leaves of trees in an area vulnerable to forest fires.But the traditional techniques to monitor leaf hydration require cutting them from their plants, which is time-consuming and cannot give live measurements. That’s why many researchers are building sensors that measure a plant’s health in real time.Now, researchers in Texas have developed a graphene “tattoo” that can be stuck directly onto a leaf to provide real-time moisture readings. The researchers also believe it could one day be the building block for a new kind of plant monitoring, by turning the patches into a neu..

IEEE Spectrum > Artificial Intelligence

[2026-31호] ETRI, 국가 AI 인프라 청사진 공개...'AI 고속도로' 시대 열린다

ETRI > 연구개발보도자료 [2026-31호] ETRI, 국가 AI 인프라 청사진 공개...'AI 고속도로' 시대 열린다

Can AI Chatbots Reason Like Doctors?

One of the earliest stated goals for computing in medicine was to aid in clinical reasoning: the decision-making steps required to reach a diagnosis and form a treatment plan. And over the years, researchers have built many clinical decision support systems, which have typically been purpose-built, with painstakingly written rules about symptoms, test thresholds, and medication interactions. As artificial intelligence capabilities develop, clinical reasoning is a natural application.Now, a large language model (LLM) from OpenAI has outperformed physicians on several clinical reasoning tasks using real emergency room records, according to a study published 30 April in Science. The new finding..

IEEE Spectrum > Artificial Intelligence

Archivists Turn to LLMs to Decipher Handwriting at Scale

When I sat down with bell hooks’ personal journals at an archive at Berea College in Kentucky, I expected an intimate peek into her private thoughts, her voice before the editing. What I got instead was frustration. Her handwriting was dense cursive, all loops that looked identical to my eye, and there were years of journals to go through. I found myself photographing pages and feeding them to ChatGPT just to read what she’d written. My tool of choice worked well, and it turns out I’m not the first person in an archive to have figured this out.Getting computers to reliably read human handwriting, in all its variations, has challenged AI researchers since the earliest days of the field...

IEEE Spectrum > Artificial Intelligence