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imc, 6 April 2026
Neuromorphic computing specialist BrainChip has launched a reference platform for battery-powered industrial sensors and wearables. The AkidaTag platform uses neuromorphic AI to enable always-on sensing and on-device learning without requiring a cloud connection. The system is designed for remote industrial environments where sensors must interpret data locally to preserve battery life and privacy. By using event-based digital processing, the platform can…
INTERESTING ENGINEERING, 5 April 2026
Researchers in the United Kingdom have developed a new computer chip that could make some artificial intelligence (AI) systems far more energy efficient. Developed by Loughborough University physicists, the device can process data that changes over time directly in hardware, rather than relying on software running on conventional computers. Researchers claimed that the approach can be up to 2,000 times more energy efficient than conventional software-based methods in some tasks, though the exact gains…
Czech technical University in Prague, 24 March 2026
How can we compare robots that are expected to move flexibly, safely, and energy-efficiently in dynamic environments? A new international study titled A Benchmarking Framework for Embodied Neuromorphic Agents, published in the prestigious journal Nature Machine Intelligence, offers an answer. Researchers from institutions in Czechia, Italy, Denmark, Switzerland, the United Kingdom, the United States,…
UT San Antonio, 16 February 2026
Artificial intelligence (AI) is getting smarter, but with its increasing capacity comes a growing energy footprint. As modern AI models expand, massive data centers are needed — technology that consumes levels of energy and finite natural resources that some experts warn is unsustainable. To tackle this challenge, the MATRIX AI Consortium for Human Well-Being at UT San Antonio plans to launch…
EE Times Current, 6 February 2026
In this latest episode of Brains and Machines, Professor Rodolphe Sepulchre, a control theorist from the University of Cambridge, talks to Dr. Sunny Bains of the University College London. They discuss the inspiration he took from studying biological neurons, why both discrete and continuous behaviors are inherent to how they work, and why building neurons is often easier than simulating them….
Technical University of Munich (TUM), 4 February 2026
The Technical University of Munich (TUM) has unveiled the EU's first AI chip using modern 7-nanometer technology. The neuromorphic chip was designed by Prof. Hussam Amrouch in accordance with the industry standards set by world-leading chip manufacturer TSMC. The professor of AI processor design and his research group now plan to produce at least three new designs per year,…
INAIR, 28 January 2026
The relentless march of artificial intelligence is not just a story of algorithms and code; it is fundamentally a tale of silicon, electrons, and breathtakingly innovative hardware. Every breakthrough in machine learning, every generative AI model that captivates the world, and every autonomous system that navigates our reality is underpinned by physical computing power. Keeping pace with AI hardware news today is to witness the very foundation of our technological future being laid, brick by intricate brick. The developments are not merely…
Roboblog, 20 January 2026
2026 is the year neuromorphic chips go mainstream in robotics. Intel's Loihi 3, IBM's NorthPole, and BrainChip's Akida 2.0 deliver brain-inspired computing that consumes 1/1000th the power of GPUs while processing sensory data 100x faster. Robots with neuromorphic brains react in microseconds, learn continuously without forgetting, and run for weeks on battery power. The age of energy-efficient, real-time robot intelligence has arrived. Unlike traditional Von Neumann architectures that shuttle data between separate…
EE Times Current, 9 January 2026
Neuronova is an analog neuromorphic startup based in Milan, Italy. In this episode of Brains and Machines, the CEO and CTO talk to Dr. Sunny Bains of University College London about their inference processor that idles at less than 10 nanowatts and what they hope to do with it. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical…
ScienceDaily, 3 January 2026
Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the same structure. The breakthrough comes from precise chemical design that lets electrons and ions reorganize dynamically. Unlike conventional electronics, these devices do not just imitate intelligence but physically encode it. This approach could reshape how future AI hardware is built….
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