news.ucsb.edu

Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
Frontiers

AI-Driven Solutions for Natural Resource Optimization

Artificial intelligence has become an increasingly influential tool in the field of natural resource management, where complex and interdependent systems ...
VentureBeat

A new paradigm for AI: How 'thinking as optimization' leads to better general-purpose models

Researchers at the University of Illinois Urbana-Champaign and the University of Virginia have developed a new model architecture that could lead to more robust AI systems with more powerful reasoning ...
The Manila Times

WiMi Deploys Quantum Computing Optimization Based on Multi-Objective Deep Reinforcement Learning

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, is researching quantum computing optimization based on ...

Nota AI Wins Grand Prize at NVIDIA Nemotron Hackathon, Proving MoE Quantization Prowess with Synthetic Data Technology

Nota AI, a leading AI model compression and optimization company, today announced that it took 1st place in Track C at the ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...