Ultra-low power neuromorphic hardware show promise for energy-efficient AI computation
Principle and demonstration of DJ-HP neuromorphic hardware. Credit: Nature Nanotechnology (2024). DOI: 10.1038/s41565-024-01790-3 A team including researchers from Seoul National University College of Engineering has...
Game-Changing Hardware for Faster Computation
The quantum-computing strategy uses a simple magnetic field to rotate qubits, such as the spins of electrons, in a natural quantum system.Using natural quantum interactions...
New hardware offers faster computation for artificial intelligence, with much less energy | MIT News
As scientists push the boundaries of machine learning, the amount of time, energy, and money required to train increasingly complex neural network models is skyrocketing....