Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative investing and frontier AI labs are converging on the same institutional machine: ...

An analysis of over 41 million research papers from the past 40 years has revealed that researchers who use artificial ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

We are now looking for a paid Research Assistant as master's thesis worker in universal speech enhancement for speech-based health biomarkers.

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

An analysis of NeurIPS 2025 papers by startup GPTZero reveals how AI-generated citations are slipping into elite academic ...

Strikingly, studies show AI-generated text responses are now rated as more compassionate than those written by humans – even ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Overview: Crypto AI tools help automate crypto trading and reduce emotional mistakes.Platforms like 3Commas and TradingView ...