Rochester Institute of Technology

Computer engineering faculty member joins national initiative on neuromorphic computing

Cory Merkel, assistant professor of computer engineering at Rochester Institute of Technology, will represent the university as one of five collegiate partners in the new Center of Neuromorphic ...
Tech Xplore

How can computing for AI and other demands be more energy efficient?

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...
Duke Pratt School of Engineering

Duke’s Semiconductor Game Changers: Yiran Chen

Yiran Chen develops brain-inspired semiconductor hardware to enable faster, greener AI at the edge.
Rochester Institute of Technology

Computer engineering becomes part of inaugural program focused on neuromorphic technologies

Rochester Institute of Technology recently became one of the inaugural academic partners in the BrainChip University AI Accelerator Program. As part of the university-corporate partnership, RIT’s ...
Medicine Buffalo

How can AI be more energy efficient? UB researchers look to human brain for inspiration

BUFFALO, N.Y. — It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and ...

Light-based Ising computer runs at room temperature and stays stable for hours

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on ...
Hosted on MSN

Team develops high-speed, ultra-low-power superconductive neuron device

A research team has developed a neuron device that holds potential for application in large-scale, high-speed superconductive neural network circuits. The device operates at high speeds with ultra-low ...
Semiconductor Engineering

Implications of Scalable Neuromorphic Computing (Sandia National Laboratories)

A new technical paper titled “Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling” was published by researchers at Sandia National Laboratories. “Neuromorphic computing ...
Semiconductor Engineering

A Scalable and Cost-Effective Approach to Fabricate Memristors for ReRAMs and Neuromorphic Computing (U. of Pisa, U. of Pavia et al.)

A new technical paper titled “Fast prototyping of memristors for ReRAMs and neuromorphic computing” was published by researchers at Università di Pisa, Università di Pavia, Quantavis s.r.l., and the ...