If We Want Mamdani To Beat The NYPD, We Must Build Power
submitted by /u/Mynameis__–__ [link] [comments]
Like
0
Liked
Liked
A smarter way for large language models to think about hard problems
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions or be unable to tackle intricate problems that require more reasoning. To address this, MIT researchers developed a smarter way to allocate […]
Like
0
Liked
Liked
On the Challenge of Converting TensorFlow Models to PyTorch
How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science.
Like
0
Liked
Liked
Learn more about AI in the workplace in our new research report.
A new global survey of executives, decision makers and knowledge workers reveals that organizations truly transforming with AI are seeing real results that move their bu…
Like
0
Liked
Liked
Introducing Nano Banana Pro
Nano Banana Pro is our new image generation and editing model from Google DeepMind.
Like
0
Liked
Liked
The Roadmap for Mastering Agentic AI in 2026
Agentic AI is changing how we interact with machines.
Like
0
Liked
Liked
NVIDIA Releases New AI Models and Developer Tools to Advance Autonomous Vehicle Ecosystem
Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is drastically increasing the demand for high-quality, physically based sensor data for training, testing and validation. To help accelerate the development of next-generation AV architectures, NVIDIA today released NVIDIA Cosmos Predict-2 — a new world foundation model with improved future world state prediction capabilities for high-quality synthetic data generation […]
Like
0
Liked
Liked
DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
The U.S. Department of Energy’s National Nuclear Security Administration (DOE/NNSA) recently announced that it has selected MIT to establish a new research center dedicated to advancing the predictive simulation of extreme environments, such as those encountered in hypersonic flight and atmospheric re-entry. The center will be part of the fourth phase of NNSA’s Predictive Science Academic Alliance Program (PSAAP-IV), which supports frontier research advancing the predictive capabilities of high-performance computing for open science and engineering applications relevant to national security […]
Like
0
Liked
Liked
AI maps how a new antibiotic targets gut bacteria
For patients with inflammatory bowel disease, antibiotics can be a double-edged sword. The broad-spectrum drugs often prescribed for gut flare-ups can kill helpful microbes alongside harmful ones, sometimes worsening symptoms over time. When fighting gut inflammation, you don’t always want to bring a sledgehammer to a knife fight. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and McMaster University have identified a new compound that takes a more targeted approach. The molecule, called enterololin, suppresses a […]
Like
0
Liked
Liked
Statistics at the Command Line for Beginner Data Scientists
You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
Like
0
Liked
Liked