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Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers Apple Machine Learning Research

​Video Joint Embedding Predictive Architectures (V-JEPA) learn generalizable off-the-shelf video representation by predicting masked regions in latent space with an exponential moving average (EMA)-updated teacher. While EMA prevents representation collapse, it complicates scalable model selection and couples teacher and student architectures. We revisit masked-latent prediction… Read More »Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers Apple Machine Learning Research

Automate Amazon QuickSight data stories creation with agentic AI using Amazon Nova Act Satish Bhonsle Artificial Intelligence

​[[{“value”:” Amazon QuickSight data stories support global customers by transforming complex data into interactive narratives for faster decisions. However, manual creation of multiple daily data stories consumes significant time and resources, delaying critical decisions and preventing teams from focusing on valuable analysis. Each organization has… Read More »Automate Amazon QuickSight data stories creation with agentic AI using Amazon Nova Act Satish Bhonsle Artificial Intelligence

Implement automated monitoring for Amazon Bedrock batch inference Durga Prasad Artificial Intelligence

​[[{“value”:” Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with capabilities to build generative AI applications with security, privacy, and responsible AI. Batch inference in Amazon Bedrock is… Read More »Implement automated monitoring for Amazon Bedrock batch inference Durga Prasad Artificial Intelligence

Is ChatGPT-5 Able to Provide Proofs for Advanced Mathematics? Iván Palomares Carrascosa MachineLearningMastery.com

​One of the claims made by OpenAI regarding its latest model, GPT-5 , is a breakthrough in reasoning for math and logic, with the ability to “think” more deeply when a prompt benefits from careful analysis. One of the claims made by OpenAI regarding its latest… Read More »Is ChatGPT-5 Able to Provide Proofs for Advanced Mathematics? Iván Palomares Carrascosa MachineLearningMastery.com

Google DeepMind Introduces CodeMender: A New AI Agent that Uses Gemini Deep Think to Automatically Patch Critical Software Vulnerabilities Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” What if an AI agent could localize a root cause, prove a candidate fix via automated analysis and testing, and proactively rewrite related code to eliminate the entire vulnerability class—then open an upstream patch for review? Google DeepMind introduces CodeMender, an AI agent that… Read More »Google DeepMind Introduces CodeMender: A New AI Agent that Uses Gemini Deep Think to Automatically Patch Critical Software Vulnerabilities Asif Razzaq Artificial Intelligence Category – MarkTechPost

OpenAI Debuts Agent Builder and AgentKit: A Visual-First Stack for Building, Deploying, and Evaluating AI Agents Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” OpenAI has released AgentKit, a cohesive platform that packages a visual Agent Builder, an embeddable ChatKit UI, and expanded Evals into a single workflow for shipping production agents. The launch includes Agent Builder in beta and the rest generally available. What’s new? Agent Builder… Read More »OpenAI Debuts Agent Builder and AgentKit: A Visual-First Stack for Building, Deploying, and Evaluating AI Agents Michal Sutter Artificial Intelligence Category – MarkTechPost

Stable Diffusion Models are Secretly Good at Visual In-Context Learning Apple Machine Learning Research

​Large language models (LLM) in natural language processing (NLP) have demonstrated great potential for in-context learning (ICL) — the ability to leverage a few sets of example prompts to adapt to various tasks without having to explicitly update the model weights. ICL has recently been… Read More »Stable Diffusion Models are Secretly Good at Visual In-Context Learning Apple Machine Learning Research

Responsible AI: How PowerSchool safeguards millions of students with AI-powered content filtering using Amazon SageMaker AI Anjali Vijayakumar Artificial Intelligence

​[[{“value”:” This post is cowritten with Gayathri Rengarajan and Harshit Kumar Nyati from PowerSchool. PowerSchool is a leading provider of cloud-based software for K-12 education, serving over 60 million students in more than 90 countries and over 18,000 customers, including more than 90 of the… Read More »Responsible AI: How PowerSchool safeguards millions of students with AI-powered content filtering using Amazon SageMaker AI Anjali Vijayakumar Artificial Intelligence

A New Agency-Focused Supervision Approach Scales Software AI Agents With Only 78 Examples Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Do curated, tool-grounded demonstrations build stronger software agents than broad piles of generic instruction data? A team of researchers from Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) proposes LIMI (“Less Is More for Agency”), a supervised fine-tuning method that turns… Read More »A New Agency-Focused Supervision Approach Scales Software AI Agents With Only 78 Examples Asif Razzaq Artificial Intelligence Category – MarkTechPost

Introduction to KV Cache Optimization Using Grouped Query Attention Puneet Mangla PyImageSearch

​[[{“value”:” Home Table of Contents Introduction to KV Cache Optimization Using Grouped Query Attention Understanding the KV Cache Grouped Query Attention What Is Grouped Query Attention? How Grouped Query Attention Reduces KV Cache? Implementing KV Caching via Grouped Query Attention Grouped Query Attention Toy Transformer… Read More »Introduction to KV Cache Optimization Using Grouped Query Attention Puneet Mangla PyImageSearch