Research & Papers
AI galaxy hunters are adding to the global GPU crunch
Astronomers are utilizing GPUs to identify distant galaxies in astronomical data, contributing to the growing global...
TechCrunch AI
Research & Papers · Other Companies
Research & Papers
A Detailed Implementation on Equinox with JAX Native Modules, Filtered Transforms, Stateful Layers, and End-to-End Training Workflows
This tutorial explores Equinox, a JAX-based neural network library, demonstrating how to use its PyTree-based module...
MarkTechPost
Research & Papers
Watch Sony’s elite ping-pong robot beat top-ranked players
Sony AI has developed Ace, a ping-pong robot that can compete against and occasionally defeat top-ranked human players...
The Verge AI
Research & Papers
Decoupled DiLoCo: A new frontier for resilient, distributed AI training
Decoupled DiLoCo presents a new approach to distributed AI training that improves resilience and fault tolerance in...
DeepMind Blog
Research & Papers
A Coding Implementation to Build a Conditional Bayesian Hyperparameter Optimization Pipeline with Hyperopt, TPE, and Early Stopping
This tutorial demonstrates how to implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt...
MarkTechPost
Research & Papers
Moonshot AI and Tsinghua Researchers Propose PrfaaS: A Cross-Datacenter KVCache Architecture that Rethinks How LLMs are Served at Scale
Moonshot AI and Tsinghua University researchers propose PrfaaS, a novel cross-datacenter KVCache architecture that...
MarkTechPost
Research & Papers
How TabPFN Leverages In-Context Learning to Achieve Superior Accuracy on Tabular Datasets Compared to Random Forest and CatBoost
TabPFN, a machine learning model using in-context learning, demonstrates superior accuracy on tabular datasets compared...
MarkTechPost
Research & Papers
NVIDIA Releases Ising: the First Open Quantum AI Model Family for Hybrid Quantum-Classical Systems
NVIDIA has launched Ising, an open quantum AI model family designed to bridge the gap between quantum processors in...
MarkTechPost
Research & Papers
Just ten minutes of using AI as an answer machine can measurably erode problem-solving skills, new study finds
A new study from US and UK researchers finds that just 10-15 minutes of using an AI assistant to get answers measurably...
The Decoder
Research & Papers
Building Transformer-Based NQS for Frustrated Spin Systems with NetKet
This article describes a technical guide for building Neural Quantum States using Transformer architectures combined...
MarkTechPost
Research & Papers
Nvidia wants to scale robot simulation training with Lyra 2.0
Nvidia has released Lyra 2.0, a system that generates large, coherent 3D environments from single photographs for...
The Decoder
Research & Papers
UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size
UCSD and Together AI researchers introduced Parcae, a novel looped language model architecture that achieves comparable...
MarkTechPost
Research & Papers
New AI model generates 45-minute lip-synced video from one photo and runs in real time
LPM 1.0 is a new AI model that generates 45-minute lip-synced videos in real time from a single photograph, with...
The Decoder
Research & Papers
China has erased the US lead in AI, Stanford HAI’s 2026 AI index reveals
Stanford HAI's 2026 AI Index Report reveals that China has erased the US lead in artificial intelligence technology,...
SiliconANGLE
Research & Papers
A Coding Implementation of MolmoAct for Depth-Aware Spatial Reasoning, Visual Trajectory Tracing, and Robotic Action Prediction
This tutorial provides a practical implementation guide for MolmoAct, an action-reasoning model that performs...
MarkTechPost
Research & Papers
Researchers define what counts as a world model and text-to-video generators do not
An international research team introduces OpenWorldLib to standardize world model research and establish clear...
The Decoder
Research & Papers
Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput
Researchers from MIT, NVIDIA, and Zhejiang University developed TriAttention, a KV cache compression method that...
MarkTechPost
Research & Papers
AI models would rather guess than ask for help, researchers find
Researchers tested 22 multimodal language models using ProactiveBench and found that almost none ask for help when...
The Decoder
Research & Papers
How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model
Knowledge Distillation is a technique that compresses the intelligence of multiple ensemble AI models into a single,...
MarkTechPost