CRYPTOCURRENCY
AI and Accelerated Computing Propel Energy Efficiency Across Industries
AI and accelerated computing are driving energy efficiency in various sectors, reducing consumption and carbon emissions significantly, according to a report by Lisbon Council Research.
OpenAI Introduces GPT-4o Mini: A Breakthrough in Cost-Efficient AI
OpenAI has launched the GPT-4o Mini, the most cost-efficient small AI model available today, promising advanced capabilities at reduced costs.
NVIDIA Grace CPU Enhances Mathematical Optimization Efficiency and Performance
NVIDIA Grace CPU shows significant improvements in mathematical optimization performance and energy efficiency, outperforming AMD EPYC servers.
NVIDIA CEO Jensen Huang Envisions AI-Powered Future for Electric Grids
NVIDIA CEO Jensen Huang discusses the transformative potential of AI in revolutionizing the electric grid at the Edison Electric Institute's annual meeting.
AMD Enhances AI Algorithm Efficiency with Innovative Depth Pruning Method
AMD introduces a new depth pruning method for AI models, optimizing CNN and Vision Transformer performance.
Oracle Health RevElate Boosts Financial Efficiency for Charleston Area Medical Center
Oracle Health RevElate enhances billing accuracy and speeds up reimbursements for CAMC.
Wistron Boosts Manufacturing Energy Efficiency with AI and NVIDIA Omniverse
Wistron leverages AI and NVIDIA Omniverse for energy-efficient manufacturing.
Navigating the Resource Efficiency of Large Language Models: A Comprehensive Survey
A survey explores the resource efficiency in Large Language Models (LLMs) like OpenAI's ChatGPT, addressing high computational demands and proposing optimization strategies.
Arbitrum's New ArbOS 11: A Game Changer for Blockchain and Crypto
The recent implementation of ArbOS 11 by the Arbitrum community introduces key improvements, including EVM Shanghai support and gas efficiency enhancements, fostering optimism in the crypto market for ARB.
IBM Unveils NorthPole: An Energy-Efficient AI Chip Prototype
IBM has introduced a new prototype AI chip named NorthPole, exhibiting remarkable speed and energy efficiency, as reported in Science Magazine on October 19, 2023. The chip, showcasing a 25-fold higher energy efficiency and a 22-fold lower time latency on benchmark tests, addresses the longstanding von Neumann bottleneck by melding memory with computation on-chip. This innovation opens up avenues for applications like autonomous surgery and self-driving vehicles, with continued research on this architecture already underway at IBM.