Nvidia shrinks LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
TMCnet

LangChain Announces Enterprise Agentic AI Platform Built with NVIDIA

LangChain, the agent engineering company behind LangSmith and open-source frameworks that have surpassed 1 billion downloads, today announced a comprehensive integration with NVIDIA to deliver an ...
Frontiers

Advances in Multi-Modal Artificial Intelligence for Oncology

Since its inception, artificial intelligence (AI) has been developed to mimic the adaptation and self-organization of living organisms or biological ...
marktechpost

How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...
GEN

Deep Learning Model Developed to Help Predict Functional Impact of Regulatory Mutations

A research team co-led by scientists at the Netherlands Cancer Institute (NKI) and Oncode Institute has developed a deep learning model, PARM (promoter activity regulatory model) that offers up new ...
Visual Studio Magazine

VS Code 1.109 Deemed a Multi-Agent Development Platform

Visual Studio Code 1.109 introduces structured, multi-agent workflows that move AI assistance beyond single-chat interactions. Parallel subagents enable concurrent task execution without consuming the ...
GitHub

[ICCV 25] Deep Space Weather Model: Long-Range Solar Flare Prediction from Multi-Wavelength Images ️

Deep Space Weather Model (Deep SWM) - accurately and reliably predicts solar flares by capturing long-range spatio-temporal dependencies and fine-grained features in multi-channel solar image series.
GitHub

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: 🔥 We released a free interactive demo ...
VentureBeat

Qwen's new Deep Research update lets you turn its reports into webpages, podcasts in seconds

A librarian robot with headphones holds books as patrons mull about. Credit: VentureBeat made with Midjourney Chinese e-commerce giant Alibaba’s famously prolific Qwen Team of AI model researchers and ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
IEEE

Multi-Task Deep Learning with Transpose Processing Pipeline for Joint Modulation Classification and DOA Estimation

Abstract: Joint automatic modulation classification (AMC) and direction of arrival (DOA) estimation are critical for signal intelligence, but multi-task learning solutions are often hindered by ...