We’re thrilled to see our advanced ML models and EMG hardware — that transform neural signals controlling muscles at the wrist into commands that seamlessly drive computer interactions — appearing in the latest edition of @Nature.
Read the story: nature.com/articles/s4158…
Find…
🚀 Big news in healthcare AI! I'm thrilled to announce the launch of OpenMed on @huggingface, releasing 380+ state-of-the-art medical NER models for free under Apache 2.0.
And this is just the beginning! 🧵
The g.Nautilus Research wireless EEG system by g.tec features real-time denoising—even during motion, the signals remain impressively stable.
Having on-device noise reduction while recording EEG in dynamic environments is a game-changer for BCI applications!
Can we talk about how every Google paid service now has Gemini baked in?
From meeting transcripts in Google Meet, to smart analysis in Sheets, and even Colab code suggestions—Gemini’s everywhere. 🧠⚡
For financial modeling, where time dynamics and optimal transport are key, SBM provides a more direct energy-based formulation grounded in physical and stochastic principles.
SBM offers a more principled and dynamic alternative to score-based diffusion models, which only approximate the reverse process using learned score functions.
The generative process in SBM learns the most energy-efficient path between two fixed distributions(start and end),meaning the sampled trajectory is the most probable path under minimal energy consumption which aligns perfectly with the EBM principle: low energy=high probability.
Pulling Taiwan stock data with XQ Enterprise is a pain. You're stuck using their own XScript, can't batch multiple stocks, and each one is capped at 1,500 records per pull... 😤
At this point, is FUGU the only usable option left for intraday data? 🫠📉
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