Trade Ideas is widely regarded as the gold standard among AI tools for trading in the equities market. Its flagship engine, Holly AI, runs thousands of simulated trades overnight to generate a ranked ...
Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...
An AI-driven worm using a local open-weight LLM autonomously exploited and replicated across 62% of a 33-host test network in ...
To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
Gemini 3.5 Flash is shockingly fast at generating code and spinning up agents, but that speed comes at a cost: sloppy ...
[2025/12/25] We've released RoboCasa evaluation support, which was trained without pretraining and reached SOTA performance. Check out more details in examples/Robocasa_tabletop. [2025/12/15] ...
Abstract: Neural network-based decoding methods show promise in enhancing error correction performance but face challenges with punctured codes. In particular ...
Open source robotics AI platform LeRobot surpassed 58,000 community datasets in 2026 — 50x growth in under a year — making it the largest dataset category on Hugging Face and signaling a ...
Abstract: Concept-cognitive learning (CCL) is a paradigm that simulates human concept learning by processing given cues through specific cognitive models. However, existing CCL models face significant ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results