A few years ago I wrote about comm, a utility that lets you do set theory at the command line. It’s a really useful little program, but it has two drawbacks: the syntax is hard to remember, and the input files must be sorted. If A and B are two sorted lists, comm A B prints A − B, B − A, and A ∩ B. You usually don’t want all three, and so comm lets you filter […]
BROOMFIELD, Colorado—One of NASA’s oldest astronomy missions, the Neil Gehrels Swift Observatory, has been out of action for more than a month as scientists await the arrival of a pioneering robotic rescue mission. The 21-year-old spacecraft is falling out of orbit, and NASA officials believe it’s worth saving—for the right price. Swift is not a flagship astronomy mission like Hubble or Webb, so there’s no talk of sending astronauts or spending hundreds of millions of dollars on a […]
Building virtual cells with generative models to simulate cellular behavior in silico is emerging as a promising paradigm for accelerating drug discovery. However, prior image-based generative approaches can produce implausible cell images that violate basic physical and biological constraints. To address this, we propose to post-train virtual cell models with reinforcement learning (RL), leveraging biologically meaningful evaluators as reward functions. We design seven rewards spanning three categories-biological function, structural validity, and morphological correctness-and optimize the state-of-the-art CellFlux model […]
Building virtual cells with generative models to simulate cellular behavior in silico is emerging as a promising paradigm for accelerating drug discovery. However, prior image-based generative approaches can produce implausible cell images that violate basic physical and biological constraints. To address this, we propose to post-train virtual cell models with reinforcement learning (RL), leveraging biologically meaningful evaluators as reward functions. We design seven rewards spanning three categories-biological function, structural validity, and morphological correctness-and optimize the state-of-the-art CellFlux model […]
Read Online | Sign Up | Advertise Good morning, {{ first_name | AI enthusiasts }}. Elon Musk already runs the world’s biggest EV factory, the world’s busiest rocket company, and a $100B+ AI startup. Now, he’s adding cutting-edge chip fabrication to the list to tie them all together. His new Terafab project between Tesla, SpaceX, and xAI aims to produce 50x the world’s current global compute per year, most of it deployed on AI satellites in orbit — […]
Hey, I’m working on a RL project with a coach/trainer module, and I regularly brainstorm with AI chatbots (Claude, ChatGPT, Gemini) to analyze decision quality, debug training issues, and find improvements. The problem: this back-and-forth is very time-consuming, and I’m looking to optimize it. A few questions: 1. Which chatbot do you find most effective for RL-specific brainstorming (policy issues, reward design, training instabilities…)? 2. Any prompting strategies or workflows that save you time? Looking for feedback from […]
Riyadh, Saudi Arabia- The Global AI Show Riyadh 2026, taking place June 29-30, has unveiled its first lineup of thought leaders, policymakers, innovators, and global AI experts set to drive the direction of artificial intelligence and put it on the edge of innovation until 2026. Organized by VAP Group and powered by Times of AI, this event will feature more than 100 unique speakers from 80+ countries with backgrounds in government digital transformation, AI strategy, and startups dedicated […]
Predicting the next mobile app a user will launch is essential for proactive mobile services. Yet accurate prediction remains challenging in real-world settings, where user intent can shift rapidly within short sessions and user-specific historical profiles are often sparse or unavailable, especially under cold-start conditions. Existing approaches mainly model app usage as sequential behavior or local session transitions, limiting their ability to capture higher-order structural dependencies and evolving session intent. To address this issue, we propose MISApp, a […]
Federated learning (FL) has emerged as a promising paradigm for privacy-preserving multi-camera video understanding. However, applying FL to cross-view scenarios faces three major challenges: (i) heterogeneous viewpoints and backgrounds lead to highly non-IID client distributions and overfitting to view-specific patterns, (ii) local distribution biases cause misaligned representations that hinder consistent cross-view semantics, and (iii) large video architectures incur prohibitive communication overhead. To address these issues, we propose FedCVU, a federated framework with three components: VS-Norm, which preserves normalization […]
Llamamos Recursive Self-Improvement o RSI a un sistema de inteligencia artificial capaz de participar en su propia mejora de manera iterativa: propone cambios, los prueba, evalúa si funcionan y conserva lo que mejora su rendimiento para volver a empezar. Para un lector no técnico, la idea es sencilla: una máquina que no solo resuelve tareas, sino que aprende a afinar el modo en que resuelve esas tareas. Para un lector experto, la definición útil exige más precisión: no […]