A technical paper titled “Benchmarking and modeling of analog and digital SRAM in-memory computing architectures” was published by researchers at KU Leuven. “In-memory-computing is emerging as an ...

What is analog computing and how is it used? What is digital computing and how is it used? Why both methods provide promising results, depending on the application. The unveiling of intelligent ...

A technical paper titled “Accelerating AI Using Next-Generation Hardware: Possibilities and Challenges With Analog In-Memory Computing” was published by researchers at Lund University and Ericsson ...

Machine learning (ML), a subset of artificial intelligence (AI), has become integral to our lives. It allows us to learn and reason from data using techniques such as deep neural network algorithms.

N aveen Verma’s lab at Princeton University is like a museum of all the ways engineers have tried to make AI ultra-efficient ...

Neuromorphic Computing: Brain-Inspired Efficiency Complementing ... to perform functions such as accumulation through charge sharing. Beyond memory components, the efficiency and precision of ...

EnCharge AI, a startup that raised $144 million to date, announced the EnCharge EN100, an AI accelerator built on analog ...

We live, it has been said, in the digital age. But it’s not obvious why a system that operates using discrete chunks of information would be good at modeling our continuous, analog world. And indeed, ...

Founded in 2022 after it spun out of Princeton University, EnCharge AI has been developing analog in-memory chip technology, ...