New brain-on-a-chip platform to deliver 460x efficiency boost for AI tasksThe IISc's neuromorphic computing platform could revolutionize AI hardware by improving efficiency and reducing energy consumption.
Researchers discover building blocks that could 'revolutionize computing'Researchers at the University of Limerick have designed revolutionary molecules that significantly enhance computing speed and energy efficiency, inspired by human brain processes.
Brain-inspired nanotech points to a new era in electronicsNew ferroelectric domain walls in insulating crystals can process information like the brain, enabling faster and more energy-efficient computing.
Could brain-like computers be a 'competition killer'?Neuromorphic computing could address increasing energy consumption by modern computing
Neuromorphic computing at scaleNeuromorphic computing mimics brain function to enhance computing efficiency and problem-solving capabilities.
Linear symmetric self-selecting 14-bit kinetic molecular memristors - NatureMolecular memristors could revolutionize neuromorphic computing by enabling higher resolution, greater energy efficiency, and enhanced performance for AI applications.
New brain-on-a-chip platform to deliver 460x efficiency boost for AI tasksThe IISc's neuromorphic computing platform could revolutionize AI hardware by improving efficiency and reducing energy consumption.
Researchers discover building blocks that could 'revolutionize computing'Researchers at the University of Limerick have designed revolutionary molecules that significantly enhance computing speed and energy efficiency, inspired by human brain processes.
Brain-inspired nanotech points to a new era in electronicsNew ferroelectric domain walls in insulating crystals can process information like the brain, enabling faster and more energy-efficient computing.
Could brain-like computers be a 'competition killer'?Neuromorphic computing could address increasing energy consumption by modern computing
Neuromorphic computing at scaleNeuromorphic computing mimics brain function to enhance computing efficiency and problem-solving capabilities.
Linear symmetric self-selecting 14-bit kinetic molecular memristors - NatureMolecular memristors could revolutionize neuromorphic computing by enabling higher resolution, greater energy efficiency, and enhanced performance for AI applications.
Neuromorphic semiconductor chip that learns and corrects itself?KAIST's memristor-based computing chip mimics brain functions to process complex data efficiently and adaptively.
Gartner's 2025 tech trends show how your business needs to adapt - and fastGartner's 2025 technology trends highlight essential innovations and areas of opportunity for businesses to monitor and understand.