Morning Overview on MSN

AI might not need huge training sets, and that changes everything

For a decade, the story of artificial intelligence has been told in ever larger numbers: more parameters, more GPUs, more ...
Tech Xplore on MSN

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
eWeek

AI Model Optimization: 6 Key Techniques

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
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 ...
Semiconductor Engineering

AI Infrastructure: Optimized For Model Training

This white paper discusses the critical infrastructure needed for efficient AI model training, emphasizing the role of network capabilities in handling vast data flows and minimizing delays. It ...

RTLS And Digital Twins: The Next Frontier Of Factory Optimization

As organizations consider the synergy of digital twins and RTLS for factory optimization, having a clear understanding of ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...