AI coding benchmark MirrorCode published its full results June 26, showing Claude Opus 4.7 autonomously rebuilt a 60,000-line interpreter and scored 56% overall — completing tasks that take human ...
DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
OpenAI is now turning its Daybreak initiative into a defensive cybersecurity program that combines Codex updates, the GPT-5.5-Cyber release and partner access for approved organizations. As OpenAI ...
OpenAI expanded its Daybreak cybersecurity initiative with a new suite of tools and partnerships focusing on getting patches ...
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 ...
Isotopic composition modelling is a key aspect in many environmental studies. This work presents Isocompy, an open source Python library that estimates isotopic compositions through machine learning ...
Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077 Centre for Biosystems, Neuroscience, and Nanotechnology, City University of Hong Kong, Kowloon, Hong Kong ...
Recurrent neural networks (RNNs) have been proved very successful at modeling sequential data such as language or motions. However, these successes rely on the use of the backpropagation through time ...
Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As ...
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