OpenAI Has New AI Models. Here’s Why You Can’t Use Them

The White House asked OpenAI to delay the rollout of its GPT-5.6 AI models two weeks after Anthropic had to take its most ...
Frontiers

Integrating Species Distribution Models, GeoAI, and Citizen Science: Predictive Tools for Bird Habitat Assessment and Conservation Decision-Making

BackgroundBird populations are facing unprecedented global pressures from climate change, habitat fragmentation, land use ...

British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

When the Model Is Confident and Wrong: A Practitioner Guide to LLM Output Reliability

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

Visual Studio Code 1.122 introduced a new feature, “ Use BYOK [Bring Your Own Key] without a GitHub sign-in ,” that allows ...
Tech Times

Embodied AI World Models Attracted $6 Billion, But the LLM Parallel May Not Hold

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
GitHub

predictive-control

Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement. A physics-based flight simulator for optimizing airbrake ...
Nature

Sequential model predictive direct speed control of PMSM

Finite control set model predictive control (FCS-MPC) has emerged as a powerful strategy for permanent magnet synchronous motor (PMSM) drives. However, its performance strongly depends on ...
Scientific Research Publishing

Hybrid Deep Reinforcement Learning and Model Predictive Control for Microgrids ()

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...
Forbes

Predict Before You Protect: Using Predictive AI To Cut Alert Fatigue At The Source

It’s far from news to any business leader that our current rate of cyberattacks has become a serious problem. In 2024, 72% of organizations reported an increase in cyber risks, driven by the growing ...
Nature

Design of sliding mode model predictive dual-loop control through self-learning strategy to mitigate the torque ripple in BLDC motor for electric vehicles

This study investigates a novel dual-loop control strategy that combines sliding mode and model predictive controllers to reduce torque ripple in high-performance Brushless Direct Current (BLDC) ...