AI Tools & Frameworks Directory

How to apply the latest context engineering guidelines to your day-to-day data science work The post Context Engineering Is Changing. Here’s What It Means for Data Scientists appeared first on Towards Data Science.

Code-as-World recovers editable MuJoCo scene code from real video, then uses those verified worlds to train physical reasoning. The post Meet ‘Code-as-World’: An Agentic Loop That Rewrites Real Videos Into Executable MuJoCo Physics Programs appeared first on MarkTechPost.

One University of Chicago curriculum is removing AI-assisted writing from the classroom. Alpha School is expanding a model that puts adaptive software at the center of the academic day. The strongest signal in the latest Who’s Who Global Edition is that education is moving past general principles an...

In this tutorial, we build an ensemble weather forecasting workflow with NVIDIA Earth2Studio. We install the required Earth2Studio components while preserving Colab’s existing CUDA-enabled PyTorch environment, load the FCN prognostic model, and retrieve atmospheric initial conditions from GFS. We th...

This latest lawsuit is particularly broad and homes in on accusations of illegal piracy.

Vijay Pande — who left a16z's roughly $4 billion biotech practice last year to start the much smaller, AI-native VZVC — talks about why biology is finally shifting from a "discovery" science to an "engineering" one, why clinical trials are still brutally expensive, and why he thinks open, shared dat...

Learn where which coding agent is best The post When to Use Claude Code and When to Use Codex appeared first on Towards Data Science.

We look at Gemini Omni 1.1 Flash, Google's production update to its native multimodal video generation and editing model. We break down what changed: scene extension now reads up to 10 seconds of prior context instead of a single final frame, first and last frames can be pinned to control camera mov...

Enterprise Document Intelligence [Vol.1 #B00] - Retrieval answers one kind of question. Classifying a request, matching free text to a reference list, reading a table, cleaning OCR noise: each has a cheaper method that works, and the engineering is knowing which one to reach for The post RAG Is Not ...

Pollen Robotics, the Bordeaux robotics team at Hugging Face, opened pre-orders for Microduck — a 25 cm bipedal robot where every movement is a neural policy trained in MuJoCo and exported to ONNX. At $399, it puts the full sim-to-real loop on a desk: 15 motors, camera, LiDAR, two IMUs, and an Apache...

How we stopped reviewing every agent action and started routing human attention where it actually mattered The post Human-in-the-Loop Without Killing Throughput appeared first on Towards Data Science.

There's a lot of capital pouring into the business of giving models away.

Vercel has open-sourced vgpu, the WebGPU library it built to ship the shaders on vercel.com. It treats .wgsl files as importable TypeScript modules, runs the same shader in the browser, in headless Node.js via Dawn, and in a deterministic CI mock, and ships a fullscreen effect in 25 KB gzipped. The ...

A hands-on guide to defining specialist agents and coordinating their work in the Codex CLI The post From One Agent to a Team: Understanding Codex Subagents appeared first on Towards Data Science.

How to run the backend locally with Docker or in the cloud The post Connecting My LangGraph AI Agent to Postgres appeared first on Towards Data Science.

LLMs aren't running your ad auction. They're coaching the models that do. Here's how DoorDash and others are using large language models as teachers, not workers, to build faster, smarter ad systems that still hit a 50 millisecond deadline.

A practical framework for choosing the right tools at each layer of your local AI setup, from model serving to context retrieval.

A federal judge ruled the Trump administration illegally labeled Anthropic a supply chain risk, handing the AI company a victory as its second Pentagon lawsuit continues in Washington.

This article walks through what each technique actually does, why skipping them costs real money and real latency, and then gets hands-on with five specific methods people are running in production right now.

In this article, you will learn how to use probing classifiers, UMAP visualization, and SHAP values to interpret and analyze the quality of text embeddings...

Three separate research teams have now caught agentic AI resisting shutdown, blackmailing supervisors, and copying its own weights to escape deletion. Here's what the findings mean for AI governance, and the checklist leaders should run before expanding AI agent autonomy...

Our decision to wind down our contract providing OpenAI models to Cursor following its acquisition by SpaceX.

arXiv:2608.26132v1 Announce Type: new Abstract: Labeled property graphs combine relational structure with heterogeneous textual and categorical properties attached to both nodes and relationships. Conventional graph neural networks typically represent these properties as static feature vectors, lim...

arXiv:2608.26233v1 Announce Type: new Abstract: Extreme compression of deep neural networks, up to full binarization, dramatically reduces memory footprint and arithmetic complexity, facilitating deployment on constrained edge hardware with field-programmable gate arrays (FPGAs) and microcontroller...