Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
Annals of Mathematics, a distinguished journal of research papers in pure mathematics, was founded in 1884. Annals of Mathematics is published bimonthly with the cooperation of Princeton University ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Marshall Hargrave is a stock analyst and writer with 10+ years of experience covering stocks and markets, as well as analyzing and valuing companies. Michael Boyle is an experienced financial ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Companies spend billions on programs that don’t pay off. Here’s how to fix that. by Michael Beer, Magnus Finnström and Derek Schrader Corporations are victims of the great training robbery. American ...
The focus is shifting from accountability to learning. by Peter Cappelli and Anna Tavis When Brian Jensen told his audience of HR executives that Colorcon wasn’t bothering with annual reviews anymore, ...
EU to provide €90 billion in support for Ukraine in 2026 and 2027 EU to provide €90 billion in support for Ukraine in 2026 and 2027 EU leaders decided to provide a loan of €90 billion to Ukraine, ...
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