How AI is changing language

As allegations of LLM use rock the literary and media worlds, linguists explain what really distinguishes human and machine language, while novelists including Jennifer Egan and Jeanette Winterson ref ...

Google Tested Its AI Tutor In Real Classrooms. It Worked

Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...
IEEE

Leveraging Machine Learning for Real-Time Financial Forecasting and Budget Optimization: Applying Regression Models, and Reinforcement Learning Techniques

Abstract: The modern world, dynamic planning and accurate forecasting for dynamic datasets are essential for the practice of financial management. Often models used in traditional problems are not ...

‘There’s this deep mystery of what, actually, is this thing?’: the philosopher inside Google DeepMind AI

Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...

Physical AI Hits A Data Labeling Wall That Only Cash Can Fix

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...
IEEE Spectrum on MSN

AI is designing radio chips that humans couldn’t even imagine

Freed from intelligibility and aesthetics, AI designs faster ...
GitHub

VLAC: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

VLAC is a general-purpose pair-wise critic and manipulation model which designed for real world robot reinforcement learning and data refinement. It provides robust evaluation capabilities for task ...
The Business & Financial Times on MSN

Unpacking the future of AI: The promise of embodied intelligence

By Kwami Ahiabenu, PhD Embodied Intelligence enables physical manifestation of Artificial Intelligence (AI).\xa0 Embodied ...
IEEE

Graph-Based Dual-Agent Deep Reinforcement Learning for Dynamic Human–Machine Hybrid Reconfiguration Manufacturing Scheduling

Abstract: Human–machine hybrid reconfiguration manufacturing is an emerging paradigm in the field of precision equipment production and can greatly improve the production capability of the workshop.
Crunchbase News

Artificial Intelligence News

All told, nearly half of all global venture funding went to companies in AI-related fields in 2025, making artificial intelligence by far the leading sector for startup investment. The momentum around ...
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 ...