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 ...

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 ...

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

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 ...

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 ...

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

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.

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, ...

At the heart of Sagence’s innovation is its analog in-memory computing technology, which merges storage and computation within memory cells. By eliminating the need for separate storage and ...