September 23, 2026OverviewIn this episode of Latent Space, the technical podcast for AI engineers, we welcome John Platt, a Google Fellow leading the Applied Science division at Google Research ...

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 ...

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

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 ...

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 ...

To enable more rational optimization of MVA-based vaccines, we developed a mechanistic and executable systems vaccinology framework based on Boolean modeling to capture the dynamics of vaccine-induced ...

Historically, enterprise predictive analytics tasks such as predicting churn, purchase intent, or fraud scoring have meant building custom models using libraries like XGBoost, Random Forest, or Deep ...

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 ...

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 ...

Marc Santos is a Guides Staff Writer from the Philippines with a BA in Communication Arts and over six years of experience in writing gaming news and guides. He plays just about everything, from ...