Bleeping Computer

Stop switching between AI apps—this multi-model tool is just $85

Using AI often means juggling multiple tools—one for writing, another for images, something else for video or audio. It works, but it can feel fragmented and waste significant time. That’s the problem ...

Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold medal-level performance at the 2025 IMO, IOI, and ICPC World Finals. Nvidia has ...
InfoQ

HubSpot’s Sidekick: Multi-Model AI Code Review with 90% Faster Feedback and 80% Engineer Approval

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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, ...
The New York Times

Tesla’s Model S, Soon to Be History, Changed the Auto Industry

The company’s chief executive, Elon Musk, said this week that it would stop making the car, an electric pioneer in 2012, as well as the Model X. By Neal E. Boudette Thirteen years ago, Mike Ramsey, an ...
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.
Frontiers

Development and validation of a multi-modality system combining radiomics and deep learning for predicting mid-pregnancy complications and enabling timely pregnancy care

To improve the early prediction of hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM), we developed and validated an artificial intelligence (AI) model. This initiative ...
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 ...
IEEE

A High-Performance Deep-Learning-Based Ground Penetrating Radar Classification Approach With Special Focus on Multi-Class Robustness

Abstract: Urbanization is increasing the presence of various utilities in the ground, while at the same time underground cavities and sinkholes pose a major threat to the civilization and structural ...
Microsoft

Anthropic joins the multi-model lineup in Microsoft Copilot Studio

Update as of January 6, 2026: Anthropic models are now available in Microsoft Copilot Studio by default in most geographies. For organizations in the European Union (EU), United Kingdom (UK), 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 ...