Who needs humans when a purported 1.5 million agents trade lobster memes and start their own religion? Moltbook, vibe-coded by Octane AI founder Matt Schlicht in a weekend (he cla ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
In this paper, we propose NeRD (Neural Robot Dynamics), learned robot-specific dynamics models for predicting future states for articulated rigid bodies under contact constraints. NeRD uniquely ...
This week, Google introduced a new capability for its Gemini 3 Flash model called “Agentic Vision” that fundamentally changes ...
Google DeepMind has added Agentic Vision to Gemini 3 Flash, enabling active image exploration through Python code execution with 5-10% quality improvements.
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.
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