Browsing: AI & Robotics
From crafting complex code to revolutionizing the hiring process, generative artificial intelligence is reshaping industries faster than ever before —…
Meta AI Introduces VideoJAM: A Novel AI Framework that Enhances Motion Coherence in AI-Generated Videos
Despite recent advancements, generative video models still struggle to represent motion realistically. Many existing models focus primarily on pixel-level reconstruction,…
Senior Audrey Lorvo is researching AI safety, which seeks to ensure increasingly intelligent AI models are reliable and can benefit…
OpenAI Introduces Deep Research: An AI Agent that Uses Reasoning to Synthesize Large Amounts of Online Information and Complete Multi-Step Research Tasks
OpenAI has introduced Deep Research, a tool designed to assist users in conducting thorough, multi-step investigations on a variety of…
Every cell in your body contains the same genetic sequence, yet each cell expresses only a subset of those genes.…
Intel Labs Explores Low-Rank Adapters and Neural Architecture Search for LLM Compression
Large language models (LLMs) have become indispensable for various natural language processing applications, including machine translation, text summarization, and conversational…
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities | MIT News
If you’ve watched cartoons like Tom and Jerry, you’ll recognize a common theme: An elusive target avoids his formidable adversary.…
Quantization Space Utilization Rate (QSUR): A Novel Post-Training Quantization Method Designed to Enhance the Efficiency of Large Language Models (LLMs)
Post-training quantization (PTQ) focuses on reducing the size and improving the speed of large language models (LLMs) to make them…
New training approach could help AI agents perform better in uncertain conditions | MIT News
A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take…
Researchers have highlighted concerns regarding hallucinations in LLMs due to their generation of plausible but inaccurate or unrelated content. However,…