Category: AI
The Download: 10 climate tech companies to watch
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. 10 climate tech companies to watch Each year, MIT Technology Review puts together a list of the most promising climate tech companies in the world. This year, the stakes feel higher…
Here’s how our climate team picked 10 promising companies to watch
As the team at MIT Technology Review set out to choose companies for this year’s edition of our annual list of Climate Tech Companies to Watch, the challenge felt more daunting than any year since we started compiling the list in 2023. This year is shaping up to be one of the hottest ever recorded.…
WeLion New Energy and its semi-solid-state batteries
WeLion New Energy is on a quest to make safer, better batteries. The company’s semi-solid-state cells could improve safety and offer greater energy density than lithium-ion batteries to power electric cars, boats, and drones. From the EVs that carry commuters home to the ships that transport goods across countries, more and more vehicles around us…
Computer Vision: SIFT algorithm (Scale Invariant Feature Transform)
Elegant object matching from several viewpoints The post Computer Vision: SIFT algorithm (Scale Invariant Feature Transform) appeared first on Towards Data Science.
3 Statsmodels Tricks for Time Series Analysis & Forecasting
A fitted statsmodels model computes a more than just the array of numbers most code pulls out of it.
Meta Muse Explained: What It Is, How It Works, and What It Can Do
Meta has entered the AI agent race in a big way.
Fast Models, Slow Evidence: A Paired and Self-Audited Evaluation of System-1 Decision Models for LLM Agent Harnesses
arXiv:2610.02267v1 Announce Type: new Abstract: Agent harnesses make many small, typed decisions per task: which model to call, which tool to use, whether retrieved text is relevant, whether an input carries an injection. System-1 decision models answer such questions in a single forward pass with class probabilities, promising large cost and latency savings over LLM…
MintFlow: Minimal Trajectory Intervention for Constrained Flow Matching
arXiv:2610.02260v1 Announce Type: new Abstract: Flow matching models excel at generative modeling, and many downstream applications require their samples to satisfy prescribed constraints, such as observed measurements and physical laws. However, existing constrained samplers often face a trade-off: textit{enforcing constraints can substantially displace samples from the pretrained data distribution}. To address this trade-off, we introduce…
Building advertising for the way people use AI
OpenAI introduces a new visual ad format in ChatGPT and expands measurement tools, attribution partnerships, and brand suitability for advertisers.