>
AI-Powered "Digital Workers" Deployed At Major Bank To Work Alongside Humans
New 'Mind Reading" AI Predicts What Humans Do Next
Dr. Bryan Ardis Says Food Producers Add 'Obesogens' to Food and Drugs to Make Us Fat
Health Ranger Report: Team AGES exposes Big Pharma's cancer scam and threats from AI
xAI Grok 3.5 Renamed Grok 4 and Has Specialized Coding Model
AI goes full HAL: Blackmail, espionage, and murder to avoid shutdown
BREAKING UPDATE Neuralink and Optimus
1900 Scientists Say 'Climate Change Not Caused By CO2' – The Real Environment Movement...
New molecule could create stamp-sized drives with 100x more storage
DARPA fast tracks flight tests for new military drones
ChatGPT May Be Eroding Critical Thinking Skills, According to a New MIT Study
How China Won the Thorium Nuclear Energy Race
Sunlight-Powered Catalyst Supercharges Green Hydrogen Production by 800%
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.