Microsoft says AI can create "zero day" threats in biology Artificial intelligence can design toxins that evade security controls. A team at Microsoft says it used artificial intelligence to discover a zero day vulnerability in the biosecurity systems used to prevent the misuse of DNA. These screening systems are designed to stop people from purchasing genetic sequences that could be used to create deadly toxins or pathogens. But now researchers led by Microsoft's chief scientist, Eric Horvitz, say they have figured out how to bypass the protections in a way previously unknown to defenders. The team described its work today in the journal . Horvitz and his team focused on generative AI algorithms that propose new protein shapes.

The Gumbel-Max trick is the basis of many relaxed gradient estimators. These estimators are easy to implement and low variance, but the goal of scaling them comprehensively to large combinatorial distributions is still outstanding.

The objective of this paper is visual-only self-supervised video representation learning.

Modern applications of machine learning (ML) deal with increasingly heterogeneous datasets comprised of data collected from overlapping latent subpopulations.

However, recommendations can easily violate preferences of users from their past natural-language feedback, since the recommender needs to explore new items for further improvement.

Neural Information Processing Systems http://nips.cc/

We consider online forecasting problems for non-convex machine learning models.