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Researchers at the Johns Hopkins APL have found a way to use machine learning to improve defect detection for LPBF.

AOH-VO, an innovative material for aqueous zinc-ion batteries, offers ultrafast charging and exceptional stability through ...

To support its expansion to the U.S., Wellumio made a series of key appointments to its leadership team. The company added ...

It is now generally accepted that they are due to the formation of local gradients of interfacial tension caused by local variations of solute concentration at the interface as the result of mass ...

Explore the role of preclinical MRI in studying neurological diseases, with a focus on advanced cellular and molecular ...

In a paper published in Earth and Planetary Physics, a team of scientists from China investigate impacts of mesoscale gravity ...

Explore the applications of preclinical MRI in neurological diseases, focusing on functional and metabolic imaging techniques ...

At first glance, machine learning might seem mysterious, but it’s built on a logical foundation. Let’s explore how each step ...

Wellumio, a New Zealand-based medical device company pioneering advancements in stroke detection, is expanding its global footprint by launching a new subsidiary in California. This strategic move ...

To address these issues, we propose AdvDiffVLM, which uses diffusion models to generate natural, unrestricted and targeted adversarial examples via score matching. Specifically, AdvDiffVLM uses ...

Given the non-convex and dynamic nature of this optimization problem, we propose a diffusion model-enhanced twin delayed deep deterministic policy gradient (DMTD3) algorithm to solve the problem.