Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
New AI-powered intelligence layer, developed in strategic partnership with Lift AI, completes the AXi Intelligence Suite - enabling brands to ...
Yes, that simple question is, in the modern Nvidia world that has come to dominate AI training and to a certain extent HPC simulation and modeling, heretical. But given that CPUs are in many cases ...
Post-quantum cryptography military deadline: the Department of War’s first PQC strategy sets a binding 2031 mandate for every ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.
On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
The 53rd annual conference presents peer-reviewed breakthroughs in simulation, vectorization, and physics modeling across ...
Cleveland Clinic researchers are unlocking quantum computing's full potential through the creation of a new computing ...