A survey of machine learning techniques trained to detect ransomware is presented. This work builds upon the efforts of Taylor et al. in using sensor-based methods that utilize data collected from built-in instruments like CPU power and temperature monito…

Welcome! We at MLST are inspired by scientists and engineers and each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is unabashedly technical and non-commercial, so you will hear no annoying pitches. Corporat…

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained – GitHub – trekhleb/homemade-machine-learning: 🤖 Python examples of popular machine …

Quantum computers are expected to surpass the computational capabilities of classical computers during this decade, and achieve disruptive impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the first industry se…

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Learn more about how our Drive Stats data was used in a research paper that examined whether the application of algorithms for interpretable machine learning would predict drive failure and provide meaningful insights about drive health.

The FDA is providing this initial list of AI/ML-enabled medical devices marketed in the United States as a resource to the public.

Practitioners from diverse occupations and backgrounds are increasingly using machine learning (ML) methods. Nonetheless, studies on ML Practitioners typically draw populations from Big Tech and academia, as researchers have easier access to these communi…

We employ self-supervised representation learning to distill information from 76 million galaxy images from the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys’ Data Release 9. Targeting the identification of new strong gravitational le…