RNA design is central to next-generation therapeutics, yet identifying sequences that reliably fold into desired structures ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...

Three funds filed to let software run the portfolio. The sales pages promise a lot. The risk pages quietly take most of it back.

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Food System Innovations has launched an open-source Food Intelligence Lab to use AI to create better-tasting alternative ...

Img wp-post-image alt= decoding=async loading=lazy srcset= 800w, 799w sizes=(max-width: 800px) 100vw, 800px />What began as ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Last time, using Takaaki Yoshimoto's auxiliary line of 'communal illusion,' I discussed how the common sense and rules instilled in us by society bind our perception as rigid 'prior probabilities ...

Abstract: Distributed data fusion methods, which possess guaranteed performance for ad hoc and arbitrarily connected networks, empower more scalable, flexible, and robust information fusion for ...

The computer scientist is receiving a grant of 2.5 million euros to develop innovative algorithms in computer vision. These innovative AI models are designed to be able to both understand and ...