On July 16, 1945, the world entered the nuclear age with the first atomic test, known as the Trinity test, in New Mexico. A 20-year restoration effort has produced hundreds of vivid photographs from t…
The next major advancement in Physical AI will not come from more capable robots, but from smarter human-machine interfaces that allow users to interact with machines naturally in real-world environme…
According to the article, total investments in robotics companies reached a record $40.7 billion in 2025, yet a significant gap remains between the promise of AI-powered robots and their real-world ec…
In the late 1940s, engineers at the University of Manchester, including Frederic C. Williams, Tom Kilburn, and G. E. Thomas, developed Manchester code to solve the problem of unreliable data reading c…
The article explains that the robotics field uses "dull, dirty, and dangerous" (DDD) to describe tasks suitable for automation, but a recent study found that only 2.7% of robotics publications define …
Melbourne is leveraging its expertise in hosting major global events to build a "research flywheel" that combines large-scale AI compute infrastructure, data-intensive research, and international coll…
Researchers have discovered a security vulnerability in large audio-language models (LALMs) that allows attackers to embed imperceptible commands in audio clips, hijacking AI voice systems to execute …
A new study published in Science Advances details electronic rings that wirelessly transmit hand motion data to an AI system capable of translating multiple sign languages into text. The seven-ring sy…
The article describes the photographic documentation of the Trinity test, the first atomic bomb detonation on July 16, 1945. Photographer Berlyn Brixner, stationed in a bunker, captured the explosion …
The IEEE Communications Society (ComSoc) launched its Research Collaboration Pitch Session initiative to connect academic researchers with industry leaders from companies like Ericsson, Intel, and Nok…
Researchers at the University of Texas at Austin have developed a graphene "tattoo" sensor that sticks directly onto plant leaves to provide real-time hydration readings. The sensor, which functions a…
The article, sponsored by Applied Materials, argues that the AI era demands a new, collaborative innovation model for the semiconductor industry, as traditional siloed approaches cannot keep pace with…
A new study published April 30 in *Science* found that OpenAI's large language model outperformed physicians on several clinical reasoning tasks using real emergency room records. The findings arrive …
Archivists and historians are turning to large language models to rapidly transcribe centuries-old handwritten documents at scale, a task that previously required specialized training or custom softwa…
According to a November report from the International Telecommunication Union, nearly 30 percent of the global population—over 2 billion people—still lack Internet access. To address this, the IEEE Fu…
Extreme AI training loads create a "power paradox" where massive GPU clusters generate high-frequency, abrupt power spikes that legacy grid infrastructure and backup systems cannot handle. To solve th…
Nvidia and its partners plan to build a fleet of 25 small data centers next to utility substations across five U.S. utilities later this year, shifting computing loads between sites based on power ava…
Orbital Inc., a Los Angeles-based startup backed by Andreessen Horowitz, announced plans in mid-April to build a constellation of small satellites in low Earth orbit designed to run AI inference workl…
Ana Inês Inácio, an IEEE senior member and research scientist at the Netherlands Organization for Applied Scientific Research (TNO), designs integrated circuits for next-generation RF sensor systems t…
The article explains that widespread public resistance to renewable energy projects in Sardinia is rooted in a deep historical distrust of outsiders and authority, not merely local objections. This op…