2025, AI’s Breakout Year: 2026 Expected To Be AI’s Inflation year

New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at solving complex mathematical equations as they are at speeding up neural networks and could eventually pave the way to ultra-efficient supercomputers. Running on around 20 watts, the human brain is able to process vast quantities of sensory information from

Nikita Doikov has joined Cornell Engineering’s School of Operations Research and Information Engineering as an assistant professor, bringing with him a deep interest in the theoretical foundations of optimization and a curiosity about how those foundations shape modern artificial intelligence. His work focuses on designing and understanding optimization algorithms that lie at the core of

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI offers a solution. AI’s power demands add strain to the grid, but its accuracy in terms of load forecasting offers huge potential efficiency gains. Credit: imaginima/iStock via Getty Images. AI represents a huge opportunity for grid operators facing