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Scientists found giant stone structures deep off Cuba - and the depth changes everything

This video explores five of the most mysterious underwater structures ever discovered, from stone circles in Lake Michigan to the controversial Yonaguni Monument in Japan. But the most clickable case ...
NextBigFuture

Nvidia Structured Data is the Ground Truth of AI – $120 Billion Structure Data Ecosystem

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...
IEEE

Optimal Ferrite Structure Design of DD-Type Magnetic Coupler Based on Improved Deep Reinforcement Learning for WPT System

Abstract: Optimization of the core structure in the magnetic coupler of a wireless power transfer system is critical for enhancing the power density and system efficiency. This study reveals for the ...
PNAS

DeepDegradome: A structure-aware deep learning framework for PROTAC and ligand generation against protein targets

Targeted protein degradation, particularly using PROTACs, offers a promising strategy to treat diseases. However, designing effective PROTACs remains challenging due to limitations in current ...
IEEE

Frame Structure Design and Task Scheduling in 5G NR for ISAC Systems: A Deep Reinforcement Learning Approach

Abstract: The frame structure is regarded as one of the implementation concerns for integrated sensing and communications (ISAC). Unlike other solutions, the shared use of new radio (NR) pilots is ...
ece.ucsb.edu

Mar 3 (Tue) @ 10:30am: "On the Role of Structure in Deep Learning: Approximation, Generalization, and Optimization in High Dimensions," Vamshi Chowdary Madala, ECE PhD Defense

Location: Harold Frank Hall (HFH), Room 4108 (ECE Conf. Rm.) Through the lens of approximation theory, the central problem of deep learning is to find a function that can predict the output of a ...