The Pittsburgh startup, founded by Carnegie Mellon University researchers, has now raised $76 million in total.

Georgia Tech researchers applied their expertise to a national research program that will shape the future of computing.

Efficient's Fabric architecture scales seamlessly from tiny, "beyond the edge" devices to the edge, and all the way to the datacenter, enabling widespread adoption across industries and positioning ...

Advancements in single board computers (SBCs) have enabled a paradigm shift towards energy-efficient computing, particularly in the realms of edge and cluster-based computation. Modern SBCs offer a ...

A smaller, lighter and more energy-efficient computer, demonstrated at the University of Michigan, could help save weight and power for autonomous drones and rovers, with implications for autonomous ...

PITTSBURGH, Feb. 18, 2026 /PRNewswire/ -- Efficient Computer, the company building the world's most energy-efficient general-purpose processors, today announced a $60 million Series A funding round ...

Canadian company Nord Quantique has developed a novel method to improve quantum error correction (QEC) that will help develop smaller and energy-efficient quantum ...

Low-power computer chip startup Efficient Computer Co. today announced the launch of its new flagship Electron E1 processor, dramatically reducing the energy requirements of general-purpose computing ...

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 cognitive.

Energy is the primary constraint on all modern computing hardware. As AI and advanced software move out of the cloud and into the physical world, existing processor architectures struggle to deliver ...

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 ...

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 cognitive. That ...