Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
This post examines the evolution of robotic laboratories and outlines the key breakthroughs required to advance toward genuinely embodied scientific intelligence. The earliest defining milestone of ...
Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
Abstract: Future wireless communications are expected to support massive connectivity in various applications, such as massive Machine-Type Communications (mMTC) and different types of IoT networks, ...
NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.
Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.
Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI ...
While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
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