When it comes to removing Burmese pythons, one snake does not equal another. A new study by researchers at the University of ...

PentestGPT is an open-source penetration testing agent that points a large language model at a target and lets it work. In its default mode it runs recon, then exploit, then walkthrough, each stage ...

The barrier to entry for learning artificial intelligence has never been lower, but the signal-to-noise ratio has never been worse. With thousands of "AI bootcamps" promising to teach you everything ...

Security researchers have uncovered a long-running campaign that turns trusted proof-of-concept exploits into weapons against the very people who study vulnerabilities for a living. The operation, ...

In recent years, machine learning has been successfully applied to complex and nonlinear dynamical systems for improved prediction of the future state, but ecological systems represent a great ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

Machine learning is a branch of AI focused on building computer systems that learn from data. The breadth of ML techniques enables software applications to improve their performance over time. ML ...

Hugging Face Transformers is a state-of-the-art machine learning library that provides easy access to a wide range of pre-trained models for Natural Language Processing (NLP), Computer Vision, Audio ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A critical bottleneck for the training of large neural networks (NNs) is communication ...

Tangent is a new, free, and open-source Python library for automatic differentiation. Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) ...