>
How much more do we need to see to know that this is not normal??
YouTube Will Not Monetize Content Featuring AI-Generated Videos from July 15, 2025
Author Nick Bryant Reveals Why the Government Threw the Diddy Trial and Its Links to Epstein...
I Just Spoke With a Top FBI Source | What They Told Me About Bongino Changes...
Magic mushrooms may hold the secret to longevity: Psilocybin extends lifespan by 57%...
Unitree G1 vs Boston Dynamics Atlas vs Optimus Gen 2 Robot– Who Wins?
LFP Battery Fire Safety: What You NEED to Know
Final Summer Solar Panel Test: Bifacial Optimization. Save Money w/ These Results!
MEDICAL MIRACLE IN JAPAN: Paralyzed Man Stands Again After Revolutionary Stem Cell Treatment!
Insulator Becomes Conducting Semiconductor And Could Make Superelastic Silicone Solar Panels
Slate Truck's Under $20,000 Price Tag Just Became A Political Casualty
Wisdom Teeth Contain Unique Stem Cell That Can Form Cartilage, Neurons, and Heart Tissue
Hay fever breakthrough: 'Molecular shield' blocks allergy trigger at the site
IBM is partnering with State University of New York to develop an AI Hardware Center at SUNY Polytechnic Institute in Albany. New York will also provide a subsidy of $300 million.
The IBM Research AI Hardware Center will enable IBM and their partner ecosystem to achieve 1,000x AI performance efficiency improvement over the next decade. They will overcome current machine-learning limitations by using approximate computing with Digital AI Cores and in-memory computing with Analog AI Cores.
Approximate Computing with Digital AI Cores
The best hardware platforms for training deep neural networks (DNNs) has just moved from traditional single precision (32-bit) computations towards 16-bit precision. This is more energy efficient and uses less memory. IBM researchers have successfully trained DNNs using 8-bit floating point numbers (FP8) while fully maintaining the accuracy of deep learning models and datasets.