Agilent announced the acquisition of Sigsense
Technology helps high-throughput labs operate more efficiently Agilent Technologies Inc. (NYSE: A) today announced it has acquired Sigsense Technologies, a San Francisco, California-based startup that uses artificial intelligence and power monitoring…
AvaSure to Acquire Ouva’s AI-Powered Smart Room Solutions
Acquisition will expand ambient AI capabilities of AvaSure’s Intelligent Virtual Care Platform, driving improvements in patient care and operational efficiency AvaSure, a market leader in acute virtual care, announced today…
This AI Paper Shows AI Model Collapses as Successive Model Generations Models are Recursively Trained on Synthetic Data
The phenomenon of “model collapse” presents a significant challenge in AI research, particularly for large language models (LLMs). When these models are trained on data that includes content generated by…
Lean Copilot: An AI Tool that Allows Large Language Models (LLMs) to be used in Lean for Proof Automation
Theorem proving is a crucial aspect of formal mathematics and computer science. However, it is often a challenging and time-consuming process. Mathematicians and researchers spend significant time and effort constructing…
NIST Releases a Machine Learning Tool for Testing AI Model Risks
The rapid advancement and widespread adoption of AI systems have brought about numerous benefits but also significant risks. AI systems can be susceptible to attacks, leading to harmful consequences. Building…
ODYSSEY: A New Open-Source AI Framework that Empowers Large Language Model (LLM)-based Agents with Open-World Skills to Explore the Vast Minecraft World
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing fields that have significantly impacted various industries. Autonomous agents, a specialized branch of AI, are designed to operate independently, make…
Neural Magic Releases Fully Quantized FP8 Version of Meta’s Llama 3.1 405B Model: FP8 Dynamic Quantization and FP8 Static Quantization
Neural Magic has recently announced a significant breakthrough in AI model compression, introducing a fully quantized FP8 version of Meta’s Llama 3.1 405B model. This achievement marks a milestone in…
Recursive IntroSpEction (RISE): A Machine Learning Approach for Fine-Tuning LLMs to Improve Their Own Responses Over Multiple Turns Sequentially
Large language models (LLMs) have gained significant attention as powerful tools for various tasks, but their potential as general-purpose decision-making agents presents unique challenges. To function effectively as agents, LLMs…
Advancing Precision Psychiatry: Leveraging AI and Machine Learning for Personalized Diagnosis, Treatment, and Prognosis
Advances in Precision Psychiatry: Integrating AI and Machine Learning: Precision psychiatry, merging psychiatry, precision medicine, and pharmacogenomics, aims to deliver personalized treatments for psychiatric disorders. AI and machine learning, particularly…
This AI Paper from Stanford Provides New Insights on AI Model Collapse and Data Accumulation
Large-scale generative models like GPT-4, DALL-E, and Stable Diffusion have transformed artificial intelligence, demonstrating remarkable capabilities in generating text, images, and other media. However, as these models become more prevalent,…