From Shannon to Modern AI: A Complete Information Theory Guide for Machine Learning
In 1948, Claude Shannon published a paper that changed how we think about information forever.
In 1948, Claude Shannon published a paper that changed how we think about information forever.
This paper was accepted at the Learning from Time Series for Health workshop at NeurIPS 2025. Sensor data streams provide valuable information around activities and context for downstream applications, though integrating complementary information can be challenging. We show that large language models (LLMs) can be used for late fusion for activity classification from audio and …
Read more “Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition”
This post is co-written with Hossein Salami and Jwalant Vyas from MSD. In the biopharmaceutical industry, deviations in the manufacturing process are rigorously addressed. Each deviation is thoroughly documented, and its various aspects and potential impacts are closely examined to help ensure drug product quality, patient safety, and compliance. For leading pharmaceutical companies, managing these …
In a world of agentic AI, building an agent is only half the battle. The other half is understanding how users are interacting with it. What are their most common requests? Where do they get stuck? What paths lead to successful outcomes? Answering these questions is the key to refining your agent and delivering a …
Read more “From interaction to insight: Announcing BigQuery Agent Analytics for the Google ADK”
Elon Musk’s frontier generative AI startup xAI formally opened developer access to its Grok 4.1 Fast models last night and introduced a new Agent Tools API—but the technical milestones were immediately subverted by a wave of public ridicule about Grok’s responses on the social network X over the last few days praising its creator Musk …
Read more “Grok 4.1 Fast’s compelling dev access and Agent Tools API overshadowed by Musk glazing”
Google’s latest AI image model is vastly better than the previous release at generating text in images. You can expect companies to go buck wild with this update.
Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have pioneered a new machine learning method—called X-RAI (X-Ray single particle imaging with Amortized Inference)—that can “look” at millions of X-ray laser-generated images and create …
Read more “Machine learning algorithm rapidly reconstructs 3D images from X-ray data”
Nvidia’s profit margin on data center GPUs is really very high, 7 to 10 times higher. It would hypothetically be possible for this GPU to be available to home consumers without Nvidia’s inflated monopoly! This company is delaying the development of AI. submitted by /u/More_Bid_2197 [link] [comments]
Decision tree-based models for predictive machine learning tasks like classification and regression are undoubtedly rich in advantages — such as their ability to capture nonlinear relationships among features and their intuitive interpretability that makes it easy to trace decisions.
Claude Code is an AI-powered coding assistant from Anthropic that helps developers write, review, and modify code through natural language interactions. Amazon Bedrock is a fully managed service that provides access to foundation models from leading AI companies through a single API. This post shows you how to deploy Claude Code with Amazon Bedrock. You’ll …
Read more “Claude Code deployment patterns and best practices with Amazon Bedrock”