Google AI Unveils Patchscopes: Teaching LLMs to Offer Natural Language Explanations of Their Hidden...
Google AI Introduces Patchscopes: Enhancing Transparency and Control Over Large Language Models
Google AI has recently introduced Patchscopes, a new tool designed to enhance the transparency and interpretability of Large Language Models...
A novel approach to characterizing material surfaces using machine learning
Machine Learning Enables Accurate Computation of Electronic Properties of Oxide Surfaces
The use of machine learning in materials science research has taken a significant leap forward with the recent findings from scientists...
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...