A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of continuous data streams like video or sensor feeds. The neuromorphic approach unlocks the ability to run powerful, real-time AI directly […]
In an effort to meet the rising energy demands of data centers, engineers at the University of California San Diego have developed a new chip design that could improve how graphics processing units (GPUs) convert […]
To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains underutilized due to performance variability across […]
A cross-institutional research team has developed Co-Located Authentication and Processing (CLAP), a privacy-preserving system that overcomes the trade-off between security and performance in edge computing devices. The study, titled “Privacy-preserving data analysis using a memristor […]
In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement learning (RL) algorithm to learn faster and more […]
A new type of computer chip that uses the physics of materials to process information could make some artificial intelligence (AI) systems far more energy efficient, researchers have found. Loughborough University physicists have developed a […]
The electronics inside your phone, your car, and every satellite currently orbiting Earth share one critical weakness: heat. Push them past about 200 degrees Celsius and they start to fail. For decades, that thermal ceiling […]
Think about how easily you recognize a friend in a dimly lit room. Your eyes capture light, while your brain filters out background noise, retrieves stored visual information, and processes the image to make a […]
The human brain constantly makes decisions. It requires minimal power to move bodies in a desired direction or avoid an object. A Purdue University engineer uses the brain’s efficiency as inspiration to help autonomous vehicles, […]
An international research team has reported an artificial nociceptor system that captures the temperature-dependent threshold modulation of biological nociceptors. Published in Advanced Functional Materials under the title “Temperature-Modulated Threshold Response in a Volatile Memristor: Toward […]
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