The AI Education Journey of a 73-Year-Old Congressman
"Legislator Embraces Lifelong Learning in Pursuit of AI Knowledge: A Model for Informed Policy-Making"
In a groundbreaking display of commitment to lifelong learning, 73-year-old Representative Don Beyer of Virginia is pursuing a...
[INTERVIEW] How AI and Machine Learning are Driving Growth in Korea’s Data Center Market
Korea's Growing Data Center Market: Insights from Cushman & Wakefield's John Pritchard
Korea's Data Center Market Poised for Growth with AI and Machine Learning
As Korea solidifies its position as a key data...
Think Silicon and Edge Impulse democratize machine learning on NEOX® for wearables and AIoT...
Think Silicon and Edge Impulse Collaborate to Integrate NEOX® AI SDK into Edge Impulse Platform
Think Silicon and Edge Impulse Collaborate to Bring AI to Wearables and AIoT Devices
ATHENS, Greece and SAN...
Leveraging Machine Learning to Improve Emergency Room Patient Outcomes
Researchers from Osaka University use machine learning to identify trauma patients more likely to survive with tranexamic acid treatment
Researchers from Osaka University have made a groundbreaking discovery in the treatment of...
IMD leverages AI and machine learning to improve weather predictions
Harnessing Artificial Intelligence and Machine Learning for Enhanced Weather Forecasts: IMD Director General
India's weather forecasting capabilities are set to receive a major boost with the integration of artificial intelligence and machine...
Improving Video AI with Intelligent Caption-Driven Incentives
Enhancing Video Language Models through Cost-Effective Reward Mechanism: A Novel Approach
Overall, the research presented in the paper on aligning language models with multimodal data through a cost-effective reward mechanism based on...
TFB: A Time Series Researcher’s Open-Source Machine Learning Library
Introducing the Time Series Forecasting Benchmark (TFB): A Comprehensive Evaluation Platform for TSF Methods
This engaging news story highlights the introduction of the Time Series Forecasting Benchmark (TFB) by a team of...
Exploring the Impact of Benign Data on AI Safety: A Study by Princeton University...
Understanding the Impact of Benign Fine-Tuning on Model Safety: A Data-Centric Perspective
This news story highlights the research conducted by Princeton Language and Intelligence (PLI) researchers on the inadvertent jailbreaking of Large...
Reducing hallucinations in large language models: A guide
Reducing Hallucinations in Large Language Models: Strategies for Businesses to Ensure Accuracy
The use of Large Language Models (LLMs) in the business landscape is on the rise, but with it comes the...
Scaling Large Language Models with PyTorch 2.0 FSDP on Amazon EKS – Part 2
Scaling PyTorch FSDP on AWS with Amazon EKS: Achieving Linear Scaling of Deep Learning Models
Training Large Language Models with PyTorch FSDP on AWS
Machine learning (ML) research has shown that large language...