[[{“value”:” There’s something that bothers me about the chatter that AI is making “intelligence” ubiquitous. For example, in a recent Bloomberg article, “How AI reasoning models will change companies and the economy,” Azeem Azhar wrote: As intelligence becomes cheaper and faster, the basic assumption underpinning… Read More »Think Different Tim O’Reilly AI & ML – Radar
[[{“value”:” On May 8, O’Reilly Media will be hosting Coding with AI: The End of Software Development as We Know It—a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If you’re in the trenches… Read More »AI’s Future: Not Always Bigger Mike Loukides AI & ML – Radar
[[{“value”:” Understanding videos with AI requires handling sequences of images efficiently. A major challenge in current video-based AI models is their inability to process videos as a continuous flow, missing important motion details and disrupting continuity. This lack of temporal modeling prevents tracing changes; therefore,… Read More »STORM (Spatiotemporal TOken Reduction for Multimodal LLMs): A Novel AI Architecture Incorporating a Dedicated Temporal Encoder between the Image Encoder and the LLM Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost
[[{“value”:” Reasoning language models have demonstrated the ability to enhance performance by generating longer chain-of-thought sequences during inference, effectively leveraging increased computation. However, a major limitation is the lack of control over reasoning length, making it difficult to allocate computational resources efficiently. In some cases,… Read More »What if You Could Control How Long a Reasoning Model “Thinks”? CMU Researchers Introduce L1-1.5B: Reinforcement Learning Optimizes AI Thought Process Sana Hassan Artificial Intelligence Category – MarkTechPost
This paper delves into the challenging task of Active Speaker Detection (ASD), where the system needs to determine in real-time whether a person is speaking or not in a series of video frames. While previous works have made significant strides in improving network architectures and… Read More »An Efficient and Streaming Audio Visual Active Speaker Detection System Apple Machine Learning Research
[[{“value”:” Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. The traditional approach of manually sifting through countless research documents, industry reports, and financial statements is not only time-consuming but can also lead to missed opportunities and… Read More »Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS Vaibhav Sabharwal AWS Machine Learning Blog
[[{“value”:” DeepSeek-R1 models, now available on Amazon Bedrock Marketplace, Amazon SageMaker JumpStart, as well as a serverless model on Amazon Bedrock, were recently popularized by their long and elaborate thinking style, which, according to DeepSeek’s published results, lead to impressive performance on highly challenging math… Read More »Optimize reasoning models like DeepSeek with prompt optimization on Amazon Bedrock Shreyas Subramanian AWS Machine Learning Blog
[[{“value”:” Generating code with execution feedback is difficult because errors often require multiple corrections, and fixing them in a structured way is not simple. Training models to learn from execution feedback is necessary but approaches face challenges. Some methods attempt to correct errors in a… Read More »Revolutionizing Code Generation: µCODE’s Single-Step Approach to Multi-Turn Feedback Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost
[[{“value”:” Visual Studio Code (VSCode) is a lightweight but powerful source code editor that runs on your desktop. It comes with built-in support for JavaScript, TypeScript, and Node.js and has a rich ecosystem of extensions for other languages and tools. Table of Contents Installation First… Read More »Visual Studio Code Setup Guide Nikhil Artificial Intelligence Category – MarkTechPost
[[{“value”:” Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently mysterious. These phenomena can be understood through established frameworks like PAC-Bayes and countable hypothesis bounds. A researcher from New York University presents… Read More »Understanding Generalization in Deep Learning: Beyond the Mysteries Sajjad Ansari Artificial Intelligence Category – MarkTechPost