Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

SAN JOSE, Calif.--(BUSINESS WIRE)--SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced its first system-on-module (SoM) featuring the MLSoC ...

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

How can systems be designed to guard against unexpected downtime? How does system reliability impact product development? In what ways can artificial intelligence and machine learning improve system ...

In today's dynamic technological landscape, the necessity for dependable and resilient systems cannot be overstated. Whether it's life-saving medical equipment, intricate financial systems or ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

As part of "shift left" to incorporate security discussions earlier in the software development life cycle, organizations are beginning to look at threat modeling to identify security flaws in ...

What are some of the key considerations when designing a vision system? What are the questions prospective customers should ask when appraising whether a vision application is feasible, or whether it ...

What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...