The growing popularity of electronic devices—from fitness trackers and laptops to smartphones—is driving demand for more ...

Researchers develop organic synaptic transistors for neuromorphic computing, aiming to match the human brain's 20-watt efficiency for AI.

A recent study shows a new and potentially more energy-efficient way for information to be transmitted inside electronic ...

The AI boom is driving an explosive surge in computational demands and reshaping the landscape of technology, infrastructure, and innovation. One of the biggest barriers to widespread AI deployment ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

A computing approach that requires up to 8,000 times less energy than conventional methods is emerging as a potential answer to one of technology’s most significant challenges: the unsustainable ...

Artificial intelligence is growing fast, and so are the number of computers that power it. Behind the scenes, this rapid growth is putting a huge strain on the data centers that run AI models. These ...

Credit: Mark Hersam/Northwestern University Printed artificial neurons can now send lifelike signals that activate real brain cells. This breakthrough could transform both brain implants and ...