Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for ...

Perhaps the biggest issue with current machine learning trends, however, is our flawed tendency to interpret or describe the patterns captured in models as causative rather than correlations of ...

Traditional methods are ineffective at tackling the problem for more than a few components, so Carleo and Matthias Troyer – who was then a colleague at ETH Zurich in Switzerland – applied a ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

But for Javier Orman the transition from professional violinist to a machine learning engineer at LinkedIn was a surprisingly natural one. Growing up in Montevideo, Uruguay, Orman excelled at both ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

How To Patent Artificial Intelligence And Machine Learning Models. ... you need to describe your AI invention in terms of structure. But U.S. courts do not consider computer structure (e.g ...

In this article, I'll describe a few cases of when machine learning is useful for research – and also when it isn’t – by drawing inspiration from my own field in astronomy. Machine learning delivers ...