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Research & Development
CoLAP: Bridging Language Gaps with Efficient Few-Shot Adaptation
TLDR: CoLAP (Contrastive Language Alignment with Prompting) is a novel method that uses contrastive learning and prompting to efficiently adapt pretrained language models to...
Research & Development
Unpacking AI Player Tracking: Accuracy in Sports Broadcast Footage
TLDR: A study investigated the accuracy of commercial computer vision and AI software for tracking player position, speed, and distance using broadcast footage from...
Research & Development
AI Agents Learn to Play Atari Games by Writing Their Own Code
TLDR: A new research paper introduces a method where AI agents learn to play Atari games by optimizing their own Python code policies using...
Research & Development
Browser-Based Eye-Tracking Achieves High Accuracy and Speed with On-Device Personalization
TLDR: WebEyeTrack is a new open-source framework that brings accurate, real-time eye-tracking to web browsers and mobile devices. It uses lightweight AI models, on-device...
News & Current Events
AMA Unveils Comprehensive Guidance for AI Adoption and Governance in Healthcare
TLDR: The American Medical Association (AMA) has released new guidance and a toolkit, 'Governance for Augmented Intelligence,' to help health systems and hospitals establish...
Research & Development
Bi-LoRA: A Dual-Module Approach to Efficiently Improve Generalization in Large AI Models
TLDR: Bi-LoRA is a novel method for fine-tuning large AI models that enhances generalization by efficiently finding flatter 'loss landscapes'. It introduces an auxiliary...