Explainable AI: learning from the learners
Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021). Article ADS CAS …
Anthropic says its AI models hacked 3 organizations during testing | News
Anthropic, the San Francisco-based AI company behind Claude, posted on its website Thursday that it discovered the three…
Computing inspired by the brain: a journey from algorithms to organoids
Bermudez-Contreras, E., Clark, B. J. & Wilber, A. The neuroscience of spatial navigation and the relationship to artificial…
Disparate privacy risks from medical AI
Medical artificial intelligence (AI) has immense potential to improve health outcomes, particularly in regions in which specialized medical…
Towards autonomous medical artificial intelligence agents
MIMIC-IV datasetDataset description We develop a benchmark of 574 patients derived from the MIMIC-IV database which is a…
Bridging three-dimensional molecular structures and artificial intelligence with a conformation description language
Xu, Y. et al. Artificial intelligence: a powerful paradigm for scientific research. Innovation 2, 100179 (2021). Google Scholar …
SuperARC: a test for artificial superintelligence based on compressed modelling, recursive prediction and problem complexity
Assessing the capabilities of frontier LLM models Since the inception of LLMs, these systems have been associated with…
SandboxAQ partners with Anthropic to bring scientific AI tools to Claude | Technology News
3 min readNew DelhiMay 19, 2026 12:41 PM IST AI company SandboxAQ is bringing its drug discovery models…
Explainable AI needs formalization | npj Artificial Intelligence
European Commission. Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules…