Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
UMass Amherst Researchers Developing AI Architecture That Uses a Fraction of the Energy Required by Today’s AI Systems
Researchers at the University of Massachusetts Amherst have unveiled a groundbreaking artificial intelligence architecture aimed at significantly lowering the energy consumption of advanced AI systems while maintaining their learning capabilities. This innovative approach, inspired by brain function, was developed with funding from the U.S. National Science Foundation and the Air Force Office of Scientific Research. By mimicking the efficiency of the human brain, the new architecture seeks to address the growing energy demands associated with AI technologies, which have raised concerns regarding sustainability and environmental impact. The research, which highlights the potential for more eco-friendly AI solutions, could pave the way for advancements in various fields reliant on artificial intelligence, ultimately promoting a more sustainable future for technology.
AI AI Research & Advances Robotics architecture energy consumption Research
Scientists build artificial neurons that work like real ones
Engineers at UMass Amherst have developed an innovative artificial neuron that utilizes bacterial protein nanowires, mimicking the function of natural neurons while operating at extremely low voltage. This breakthrough, announced recently, enables efficient communication with biological cells and significantly enhances energy efficiency. The advancement holds promise for the creation of bio-inspired computing systems and wearable electronics that eliminate the need for traditional, power-intensive amplifiers. Future applications of this technology could include sensors powered by sweat or devices capable of harvesting electricity from ambient sources, potentially revolutionizing the field of electronics and energy use.
