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Keep up to date with AI, machine learning, and automation.
Articles on what’s happening in the world of AI
Build an Autonomous Wet-Lab Protocol Planner and Validator Using Salesforce CodeGen for Agentic Experiment Design and Safety Optimization
In this tutorial, we build a Wet-Lab Protocol Planner & Validator that acts as an intelligent agent for experimental design and execution. We design the sy…
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python code without a human analyst in the loop? Google r…
DS-STAR: A state-of-the-art versatile data science agent
Data Mining & Modeling
When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost
A collaboration between Signify and Microsoft Research shows how PIKE-RAG improves enterprise knowledge systems, delivering a 12% increase in accuracy and faste…
CMU Researchers Introduce PPP and UserVille To Train Proactive And Personalized LLM Agents
Most LLM agents are tuned to maximize task success. They resolve GitHub issues or answer deep research queries, but they do not reason carefully about when to a…
Generalist AI Introduces GEN-θ: A New Class of Embodied Foundation Models Built for Multimodal Training Directly on High-Fidelity Raw Physical Interaction
How do you build a single model that can learn physical skills from chaotic real world robot data without relying on simulation? Generalist AI has unveiled GEN-…
Build an Autonomous Wet-Lab Protocol Planner and Validator Using Salesforce CodeGen for Agentic Experiment Design and Safety Optimization
In this tutorial, we build a Wet-Lab Protocol Planner & Validator that acts as an intelligent agent for experimental design and execution. We design the sy…
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python code without a human analyst in the loop? Google r…
DS-STAR: A state-of-the-art versatile data science agent
Data Mining & Modeling
When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost
A collaboration between Signify and Microsoft Research shows how PIKE-RAG improves enterprise knowledge systems, delivering a 12% increase in accuracy and faste…
CMU Researchers Introduce PPP and UserVille To Train Proactive And Personalized LLM Agents
Most LLM agents are tuned to maximize task success. They resolve GitHub issues or answer deep research queries, but they do not reason carefully about when to a…
Generalist AI Introduces GEN-θ: A New Class of Embodied Foundation Models Built for Multimodal Training Directly on High-Fidelity Raw Physical Interaction
How do you build a single model that can learn physical skills from chaotic real world robot data without relying on simulation? Generalist AI has unveiled GEN-…
OpenAI Introduces IndQA: A Culture Aware Benchmark For Indian Languages
How can we reliably test whether large language models actually understand Indian languages and culture in real world contexts? OpenAI has released IndQA, a ben…
Magentic Marketplace: an open-source simulation environment for studying agentic markets
AI agents are poised to transform digital marketplaces. To explore what can happen when AI agents interact and transact at scale, we built Magentic Marketplace,…
Forecasting the future of forests with AI: From counting losses to predicting risk
Climate & Sustainability
Google AI Introduces Consistency Training for Safer Language Models Under Sycophantic and Jailbreak Style Prompts
How can consistency training help language models resist sycophantic prompts and jailbreak style attacks while keeping their capabilities intact? Large language…
How Can We Build Scalable and Reproducible Machine Learning Experiment Pipelines Using Meta Research Hydra?
In this tutorial, we explore Hydra, an advanced configuration management framework originally developed and open-sourced by Meta Research. We begin by defining …
RedCodeAgent: Automatic red-teaming agent against diverse code agents
Code agents help streamline software development workflows, but may also introduce critical security risks. Learn how RedCodeAgent automates and improves “red-t…
Build an Autonomous Wet-Lab Protocol Planner and Validator Using Salesforce CodeGen for Agentic Experiment Design and Safety Optimization
In this tutorial, we build a Wet-Lab Protocol Planner & Validator that acts as an intelligent agent for experimental design and execution. We design the sy…
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python code without a human analyst in the loop? Google r…
DS-STAR: A state-of-the-art versatile data science agent
Data Mining & Modeling
When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost
A collaboration between Signify and Microsoft Research shows how PIKE-RAG improves enterprise knowledge systems, delivering a 12% increase in accuracy and faste…
CMU Researchers Introduce PPP and UserVille To Train Proactive And Personalized LLM Agents
Most LLM agents are tuned to maximize task success. They resolve GitHub issues or answer deep research queries, but they do not reason carefully about when to a…
Generalist AI Introduces GEN-θ: A New Class of Embodied Foundation Models Built for Multimodal Training Directly on High-Fidelity Raw Physical Interaction
How do you build a single model that can learn physical skills from chaotic real world robot data without relying on simulation? Generalist AI has unveiled GEN-…