Research & Papers · Other Companies

NVIDIA AI Releases Gated DeltaNet-2: A Linear Attention Layer That Decouples Erase and Write in the Delta Rule
Research & Papers

NVIDIA AI Releases Gated DeltaNet-2: A Linear Attention Layer That Decouples Erase and Write in the Delta Rule

NVIDIA AI releases Gated DeltaNet-2, a new linear attention layer that improves upon previous delta-rule models by...

MarkTechPost
Nous Research Releases Contrastive Neuron Attribution (CNA): Sparse MLP Circuit Steering Without SAE Training or Weight Modification
Research & Papers

Nous Research Releases Contrastive Neuron Attribution (CNA): Sparse MLP Circuit Steering Without SAE Training or Weight Modification

Nous Research introduces Contrastive Neuron Attribution (CNA), a novel method for steering large language model...

MarkTechPost
Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning
Research & Papers

Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning

This tutorial demonstrates how to build advanced recurrent-depth transformer models using OpenMythos, including MLA and...

MarkTechPost
How CopilotKit Is Redefining the Agentic AI Stack in 2026
Research & Papers

How CopilotKit Is Redefining the Agentic AI Stack in 2026

An inside look at CopilotKit’s 2026 shipping cycle. Learn how the new AG-UI protocol, AIMock testing suite, and...

MarkTechPost
Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window
Research & Papers

Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window

Alibaba's Qwen team introduced Qwen3.7-Max at the 2026 Alibaba Cloud Summit, describing it as its most advanced and...

MarkTechPost
Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs
Research & Papers

Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs

Cohere releases Command A+, an open-source 218B Sparse Mixture-of-Experts model consolidating four prior Command A...

MarkTechPost
We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks
Research & Papers

We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks

DeepMind Blog
How to Build Knowledge Graph Generation Pipelines From Text With kg-gen, NetworkX Analytics, and Interactive Visualizations
Research & Papers

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...

MarkTechPost
Justin Solomon appointed associate dean of engineering education
Research & Papers

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...

MIT News AI
Stochastic Gradient Descent (SGD’s) Frequency Bias and How Adam Fixes It 
Research & Papers

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...

MarkTechPost
Import AI 457: AI stuxnet; cursed Muon optimizer; and positive alignment
Research & Papers

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),...

Import AI
Introducing Google Antigravity 2.0
Research & Papers

Introducing Google Antigravity 2.0

DeepMind Blog
A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor
Research & Papers

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...

MarkTechPost
Making it easier to understand how content was created and edited
Research & Papers

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.

DeepMind Blog
World Action Models give robots the ability to simulate consequences before they move
Research & Papers

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...

The Decoder
A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models
Research & Papers

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...

MarkTechPost
Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1.4–1.7× Pretraining Speedup at Long Context
Research & Papers

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...

MarkTechPost
New benchmark confirms AI video generators look stunning but still can't reason about the world
Research & Papers

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...

The Decoder
Researchers train AI model that hits near-full performance with just 12.5 percent of its experts
Research & Papers

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...

The Decoder