Google DeepMind’s Hurricane Forecast Model Provides a Whole Extra Day of Warning

Google DeepMind is a winner of the 2026 Gizmodo Science Fair for creating WeatherNext Cyclones, a highly accurate AI weather ...

[Generative AI Passport] What exactly is Generative AI bad at?

Estimated reading time: approx. 3 minutes 30 secondsWhile you might be impressed that it can create text and images in an ...
InfoQ

Adaptive Recommenders in the Real World: Inference, Evals, and System Design

Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She ...

Introduction: Marketing in the Post-Cookie Era and the Thirst for "True Causal Effects"

Introduction: Marketing in the Post-Cookie Era and the Thirst for "True Causal Effects"The phased elimination of third-party ...
NERDBOT

From Python Foundations to Production-Grade Agents: 5 Agentic AI Courses

Building an AI agent can start with surprisingly little code. Python basics, an LLM API, a few tools, and a defined task are often enough for an early ...
HackerNoon

Building an Urban Heat Island Detector with Python, Satellite Data, and Machine Learning

Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...
eLife

Neural responses during natural vision are action-timed rather than locked to the onset of stable foveal input

This important study shows that neural responses to visual input during active vision are more closely aligned with self-generated eye movements than with fixation onset. The evidence for neural ...
Unite.AI

What Is the Model Context Protocol (MCP)? The Standard Connecting AI to Tools and Data

The Model Context Protocol gives AI applications a standard way to discover and use tools, data, prompts, and other capabilities. This guide explains MCP's architecture, primitives, security ...
Nature

Model Predictive Control in Dynamic Systems articles from across Nature Portfolio

To overcome the drawbacks of the traditional chaos control method (CC), such as non-convergence, inefficiency and repeated adjustment of control factor, a new method named adaptively active set-based ...
Nerdbot

Financial Risk Modeling: Using Python to Build Predictive Models for Credit Scoring and Market Risk Assessment

Financial institutions make decisions under uncertainty every day. Banks decide whether to approve a loan, how much credit to extend, and what interest rate reflects the borrower’s risk. Trading and ...
Frontiers

A novel behavioral paradigm using mice to study predictive postural control

Postural control circuitry performs the essential function of maintaining balance and body position in response to perturbations that are either self-generated (e.g., reaching to pick up an object) or ...
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 ...