Research & Papers
How to Build a Parsing Pipeline with Docling Parse for Layout-Aware Document Intelligence
This tutorial demonstrates how to use Docling Parse to analyze PDF documents with layout-aware document intelligence,...
MarkTechPost
Research & Papers · Other Companies
Research & Papers
Meet Flash-KMeans: An IO-Aware, Exact K-Means That Runs Over 200× Faster Than FAISS on GPUs
Flash-KMeans is an open-source, IO-aware GPU implementation of k-means clustering that achieves significant performance...
MarkTechPost
Research & Papers
A Coding Hands-On on FineWeb for Streaming, Filtering, Deduplication, Tokenization, and Large-Scale Web Corpus Analytics
This tutorial provides a hands-on guide to working with the FineWeb dataset, demonstrating how to stream and analyze...
MarkTechPost
Research & Papers
New AI model called "Count Anything" does exactly what it says, and that's harder than it sounds
"Count Anything" is a new AI model that can count objects in any type of image using text prompts, cutting error rates...
The Decoder
Research & Papers
A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric
The article presents an end-to-end spatial graph learning pipeline using city2graph, OSMnx, and PyTorch Geometric to...
MarkTechPost
Research & Papers
When it comes to predicting people’s preferences, it pays to consider “the power of three”
MIT researchers have developed a significant advancement to random utility models, a theory nearly a century old that...
MIT News AI
Research & Papers
How memory tools can make AI models worse
Recent research reveals that memory systems integrated into AI models can actually reduce performance and promote...
TechCrunch AI
Research & Papers
ClawHub Security Signals: A Coding Guide to End-to-End Security Signal Analysis and Verdict Classification on the AI Skills Dataset
This tutorial explores the ClawHub Security Signals dataset to analyze how security scanners assess AI skills,...
MarkTechPost
Research & Papers
Researchers pinpoint why larger language models pick up skills that small ones miss
Researchers discovered that small language models fail at rare tasks because frequent tasks overwrite their learned...
The Decoder
Research & Papers
A Hands-On Coding Tutorial on Qualcomm AI Hub Models for Classification, Object Detection, and Hardware-Aware Deployment
This tutorial demonstrates how to use Qualcomm AI Hub Models to run inference tasks including MobileNet-V2...
MarkTechPost
Research & Papers
NVIDIA AI Releases Dynamo Snapshot: A CRIU-Based Fast Startup System for AI Inference on Kubernetes
NVIDIA has released Dynamo Snapshot, a system that uses CRIU and cuda-checkpoint tools to enable fast startup of vLLM...
MarkTechPost
Research & Papers
Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset
This tutorial demonstrates a complete NLP pipeline for research mathematics using the ResearchMath-14k dataset,...
MarkTechPost
Research & Papers
NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery
The National Science Foundation has renewed funding for IAIFI (Institute for Artificial Intelligence and Fundamental...
MIT News AI
Research & Papers
NVIDIA Releases Cosmos 3: A Two-Tower Mixture-of-Transformers Foundation Model Unifying Physical Reasoning, World Generation, and Action Generation
NVIDIA released Cosmos 3, an omnimodal world model featuring a two-tower mixture-of-transformers architecture that...
MarkTechPost
Research & Papers
MIT researchers teach AI models to interpret charts
MIT researchers have developed ChartNet, a new training dataset designed to improve how vision-language models...
MIT News AI
Research & Papers
How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch.amp
This article discusses optimizing Transformer model training performance using NVIDIA Apex tools including FusedAdam...
MarkTechPost
Research & Papers
Turing Award winner Richard Sutton says pure generative AI can't do real science
Turing Award winner Richard Sutton argues that pure generative AI lacks the ability to evaluate its own results,...
The Decoder
Research & Papers
Nvidia bets big on physical AI at GTC Taipei with a new world model, driving brain, and open humanoid robot
Nvidia launched new AI models at GTC Taipei including Cosmos 3 world model, Alpamayo 2 Super driving model, and an open...
The Decoder
Research & Papers
Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch
Parallax is a new parameterized local linear attention mechanism that improves upon Local Linear Attention by replacing...
MarkTechPost