When Things Get Weird with Custom Calendars in Tabular Models

by Salvatore Cagliari — Since September 2025, we have had Calendar-based Time Intelligence in Power BI and Fabric Tabular models. While this feature offers great possibilities, we must be aware of its pitfalls. Here are...

Towards Data Science·1d ago

AI fundamentals

Learn what AI is, how it works, and how tools like ChatGPT use large language models. A clear, beginner-friendly guide to understanding artificial intelligence.

OpenAI·2d ago

Asylon and Thrive Logic bring physical AI to enterprise perimeter security

Exciting times are ahead in the world of enterprise perimeter security with a new partnership between Thrive Logic, an AI agent-driven security and operational intelligence platform, and Asylon, a...

AI News·5d ago

Welcome Gemma 4: Frontier multimodal intelligence on device

Hugging Face·Apr 2

I built a geopolitical news dashboard that runs entirely on my laptop using Qwen3.5:4b

by CieffiMacro — Building a Geopolitical Intelligence Dashboard for £0/month Using Ollama /Qwen 3.5:4BNo cloud APIs, no subscriptions. Just Python, Dash, and a 4-billion-parameter model doing the analysis:...

Towards AI·4h ago

How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model

Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance and capturing diverse patterns. However, these ensembles are impractical...

Marktechpost·1d ago

How Does AI Learn to See in 3D and Understand Space?

by Florent Poux, Ph.D. — How depth estimation, foundation segmentation, and geometric fusion are converging into spatial intelligence The post How Does AI Learn to See in 3D and Understand Space? appeared first on Towards...

Towards Data Science·2d ago

Microsoft open-source toolkit secures AI agents at runtime

A new open-source toolkit from Microsoft focuses on runtime security to force strict governance onto enterprise AI agents. The release tackles a growing anxiety: autonomous language models are now...

AI News·4d ago

From isolated alerts to contextual intelligence: Agentic maritime anomaly analysis with generative AI

This blog post demonstrates how Windward helps enhance and accelerate alert investigation processes by combining geospatial intelligence with generative AI, enabling analysts to focus on...

AWS ML Blog·5d ago

Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents

Hugging Face·Mar 31

MiniMax Just Open Sourced MiniMax M2.7: A Self-Evolving Agent Model that Scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2

MiniMax has officially open-sourced MiniMax M2.7, making the model weights publicly available on Hugging Face. Originally announced on March 18, 2026, MiniMax M2.7 is the MiniMax’s most capable...

Marktechpost·5h ago

NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any PyTorch Model

Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and the model that actually runs efficiently at scale. TensorRT exists,...

Marktechpost·1d ago

Meta has a competitive AI model but loses its open-source identity

The open-source AI movement has never lacked for options. Mistral, Falcon, and a growing field of open-weight models have been available to developers for years. But when Meta threw its weight behind...

AI News·2d ago

Democratizing Marketing Mix Models (MMM) with Open Source and Gen AI

by Shakti Kothari — A practical system design combining open-source Bayesian MMM and GenAI for transparent, vendor independent marketing analytics insights. The post Democratizing Marketing Mix Models (MMM) with Open...

Towards Data Science·4d ago

Industrial policy for the Intelligence Age

Explore our ambitious, people-first industrial policy ideas for the AI era—focused on expanding opportunity, sharing prosperity, and building resilient institutions as advanced intelligence evolves.

OpenAI·6d ago

AI benchmarks are broken. Here’s what we need instead.

For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI...

MIT Tech Review·Mar 31