New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...

You’ll have two different options to complete your Master of Science in Data Science, each designed to give you the flexibility to match your career goals. Course-focused: Take classes such as ...

Abstract: Positive and Unlabeled (PU) learning aims to build classifiers when only positive and unlabeled data are available. We propose a robust and scalable framework, Uncertainty-Aware Neighbor ...

Who's trying to build superintelligent AI? Companies such as Google, OpenAI, Meta, and Anthropic have collectively dedicated more than $1 trillion to developing artificial general intelligence (AGI).

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. As machine learning continues to reshape the financial ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...