Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

AI systems are increasingly being developed to support clinical decisions, but adoption in healthcare remains limited when clinicians and patients cannot understand or trust how recommendations are ...

Weighing up arguments, drawing logical conclusions and deriving a clearly correct answer—such tasks have so far presented ...

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...

Noah Giansiracusa asks: How nutritious is your social media diet? Containing too much social media 'junk food,' he notes for Science News Explores, can have deleterious effects, and so individuals ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Abstract: Deep learning models have achieved remarkable performance in image classification tasks, but their black-box nature limits their applications in high-security domains. This paper proposes a ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Abstract: Customer churn prediction is critical for businesses to retain customers and maintain revenue. In this paper, we compare three counterfactual explanation methods: Watcher's Method, Sphere ...