Think AI "knows" what it’s doing? Scientists say think again
Calling AI things like “smart” or saying it “knows” something might sound harmless, but it can quietly mislead people about what AI actually does. A new study shows that news writers are more careful than expected, rarely using strongly human-like language. When they do, it often falls on a spectrum...
NVIDIA Releases Ising: the First Open Quantum AI Model Family for Hybrid Quantum-Classical Systems
Quantum computing has spent years living in the future tense. Hardware has improved, research has compounded, and venture dollars have followed — but the gap between a quantum processor running in a lab and one running a real-world application remains stubbornly wide. NVIDIA moved to close that gap ...
Elon Musk’s AI company xAI has launched two standalone audio APIs — a Speech-to-Text (STT) API and a Text-to-Speech (TTS) API — both built on the same infrastructure that powers Grok Voice on mobile apps, Tesla vehicles, and Starlink customer support. The release moves xAI squarely into the competit...
Anthropic Releases Claude Opus 4.7: A Major Upgrade for Agentic Coding, High-Resolution Vision, and Long-Horizon Autonomous Tasks
Anthropic has launched Claude Opus 4.7, it’s latest frontier model and a direct successor to Claude Opus 4.6. The release is positioned as a focused improvement rather than a full generational leap, but the gains it delivers are substantial in the areas that matter most to developers building real-w...
Tesla brings its robotaxi service to Dallas and Houston
Tesla is expanding its robotaxi service to Dallas and Houston, according to a social media post from the company. The post says simply that “Robotaxi is now rolling out in Dallas & Houston 🤠” and includes a 14-second video showing Tesla vehicles driving without human monitors or drivers in the front...
AI Agents Need Their Own Desk, and Git Worktrees Give Them One
Git worktrees, parallel agentic coding sessions, and the setup tax you should be aware of
The post AI Agents Need Their Own Desk, and Git Worktrees Give Them One appeared first on Towards Data Science.
Google AI Releases Auto-Diagnose: An Large Language Model LLM-Based System to Diagnose Integration Test Failures at Scale
If you have ever stared at thousands of lines of integration test logs wondering which of the sixteen log files actually contains your bug, you are not alone — and Google now has data to prove it. A team of Google researchers introduced Auto-Diagnose, an LLM-powered tool that automatically reads the...
Quantum AI just got shockingly good at predicting chaos
Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic systems. By letting a quantum computer identify hidden patterns in data, the AI becomes more accurate and stable over time. The method outperformed standard models while using far ...
Top 19 AI Red Teaming Tools (2026): Secure Your ML Models
As Generative AI matures, so do the threats against it. AI Red Teaming has evolved from a niche security practice into a regulatory requirement. Our 2026 guide breaks down the top 19 tools—including Mindgard, Garak, and Microsoft’s PyRIT—to help security teams identify vulnerabilities like data leak...
Beyond Prompting: Using Agent Skills in Data Science
How I turned my eight-year weekly visualization habit into a reusable AI workflow
The post Beyond Prompting: Using Agent Skills in Data Science appeared first on Towards Data Science.
Oceania’s Quantum Horizon: How AI Innovation Is Quietly Rewriting the Future Across the Pacific
This article supports AI Quantum Intelligence's representation of regional interests and diversity around AI and advanced technology topics. AI and quantum innovation are accelerating across Oceania—from climate resilience to sovereign tech and Pacific-driven research shaping the region’s future.
The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale
By: Brett Axler, Casper Choffat, and Alo LowryIn the three years since our first Live show, Chris Rock: Selective Outrage, we have witnessed an incredible expansion of our live content slate and the live operations that support it. From modest beginnings of streaming just one show per month, we are ...
Anthropic launches Claude Design, a new product for creating quick visuals
The company says Claude Design is intended to help people like founders and product managers without a design background share their ideas more easily.
What if an unsupervised model could become a strong classifier with only a handful of labels?
The post You Don’t Need Many Labels to Learn appeared first on Towards Data Science.
Anthropic Launches Claude Opus 4.7 For “Most Difficult Tasks”
Artificial intelligence is rapidly developing. The minute we become accustomed to one breakthrough, another comes to shift our expectations. The new model, Claude Opus 4.7, that Anthropic introduced recently, is one such shift. The release tends to go beyond mere AI chatbots and makes AI a trusted, ...
Roboticists used to dream big but build small. They’d hope to match or exceed the extraordinary complexity of the human body, and then they’d spend their career refining robotic arms for auto plants. Aim for C-3P0; end up with the Roomba. The real ambition for many of these researchers was the robo...
Qwen Team Open-Sources Qwen3.6-35B-A3B: A Sparse MoE Vision-Language Model with 3B Active Parameters and Agentic Coding Capabilities
Qwen Team Open-Sources Qwen3.6-35B-A3B: A Sparse MoE Vision-Language Model with 3B Active Parameters and Agentic Coding Capabilities
The post Qwen Team Open-Sources Qwen3.6-35B-A3B: A Sparse MoE Vision-Language Model with 3B Active Parameters and Agentic Coding Capabilities appeared first on MarkTec...
Portfolio Optimization Proxies under Label Scarcity and Regime Shifts via Bayesian and Deterministic Students under Semi-Supervised Sandwich Training
arXiv:2604.14206v1 Announce Type: new
Abstract: This paper proposes a machine learning assisted portfolio optimization framework designed for low data environments and regime uncertainty. We construct a teacher student learning pipeline in which a Conditional Value at Risk (CVaR) optimizer generate...