Tech Xplore

Neuromorphic computer prototype learns patterns with fewer computations than traditional AI

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

App Orchid Launches New Conversational Analytics Agent With Continuous Semantic Enrichment for Benchmark-Breaking Accuracy

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust.
IEEE

Live Demonstration: Crowdsourcing Cardiopulmonary Sound Labeling via Gamified Interactive Learning (HEALSound)

Abstract: Healthcare Education and Labeling for Cardiopulmonary Sounds, HEALSound, is an interactive platform designed to enhance the identification and labeling of adventitious cardiopulmonary sounds ...
IEEE

Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes

Abstract: A central challenge in Learning from Demonstration is to generate representations that are adaptable and can generalize to unseen situations. This work proposes to learn such a ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...
Finbold | Finance in Bold

Machine learning algorithm predicts AMD stock price on October 31, 2025

Advanced Micro Devices (NASDAQ: AMD) exploded on Monday, October 6, after the company announced a new partnership with OpenAI. As part of the deal, OpenAI will deploy up to 6 gigawatts (GW) of AMD ...