
Research & Papers · Other Companies


How to Build Knowledge Graph Generation Pipelines From Text With kg-gen, NetworkX Analytics, and Interactive Visualizations
This tutorial demonstrates how to build knowledge graph generation pipelines from text using kg-gen, LiteLLM, and...

Justin Solomon appointed associate dean of engineering education
MIT faculty member in electrical engineering and computer science to focus on innovation in engineering education and...

Stochastic Gradient Descent (SGD’s) Frequency Bias and How Adam Fixes It
The article examines how stochastic gradient descent (SGD) exhibits frequency bias when training language models on...

Import AI 457: AI stuxnet; cursed Muon optimizer; and positive alignment
Import AI newsletter covering multiple AI research topics including AI security vulnerabilities (Stuxnet analogy),...

Introducing Google Antigravity 2.0

A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor
In this tutorial, we explore how to apply post-training quantization to an instruction-tuned language model using...

Making it easier to understand how content was created and edited
We're expanding our tools to help you understand how content was created and edited across the web.

World Action Models give robots the ability to simulate consequences before they move
World Action Models enable robots to simulate and understand how their actions change the world, addressing a key...

A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models
This tutorial provides a practical guide to implementing SHAP explainability workflows for interpreting machine...

Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1.4–1.7× Pretraining Speedup at Long Context
Nous Research introduces Lighthouse Attention, a hierarchical attention mechanism that reduces computational complexity...

New benchmark confirms AI video generators look stunning but still can't reason about the world
WorldReasonBench, a new benchmark, evaluates AI video generators on physical and logical plausibility rather than image...

Researchers train AI model that hits near-full performance with just 12.5 percent of its experts
Researchers at Allen Institute for AI and UC Berkeley developed EMO, a mixture-of-experts model that organizes experts...

NVIDIA Introduces SANA-WM: A 2.6B-Parameter Open-Source World Model That Generates Minute-Scale 720p Video on a Single GPU
NVIDIA introduces SANA-WM, a 2.6B-parameter open-source world model capable of generating 60-second 720p videos with...

AI research papers are getting better, and it’s a big problem for scientists
AI-generated research papers are improving in quality, creating a problem for scientists as these papers are being...

A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling
This tutorial explores CuPy as a GPU-accelerated alternative to NumPy for high-performance numerical computing in...

Two from MIT named 2026 Knight-Hennessy Scholars
The prestigious fellowship funds graduate studies at Stanford University.

Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models
Nous Research introduces Token Superposition Training (TST), a two-phase pre-training method that reduces wall-clock...

Bosch, Researchers Develop AI for Humanoid Dexterity
Bosch and research teams have developed a "touch dreaming" AI system that significantly improves humanoid robot...