Ansys
Software : Engineering : Simulation
If you’ve ever seen a rocket launch, flown on an airplane, driven a car, used a computer, touched a mobile device, crossed a bridge, or put on wearable technology, chances are you’ve used a product where Ansys software played a critical role in its creation. Ansys is the global leader in engineering simulation. We help the world’s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, we help them solve the most complex design challenges and engineer products limited only by imagination.
Assembly Line
NVIDIA relies on Ansys Simulation
Driving Toward A Sustainable Future
A physics-based electronics reliability assessment tool, Sherlock enables Schirmer and his team at BMW to assess the performance of PCBs under a range of thermal cycles, including temperature changes and static temperatures. BMW can also test PCB components for shock, random vibration, and steady mechanical loads.
Given the growing demand for new EV designs and product features, the Department of Power Electronics is under pressure to complete its reliability studies quickly — but without compromising analytic depth and breadth. “With Ansys Sherlock, I’m able to manage 90 to 95% of my analytic modeling with a single tool that integrates easily with Ansys Workbench, Ansys physics-based solvers, and ECAD tools,” says Schirmer. “I’m grateful to have a partner who understands my needs and responds to them with the right capabilities.”
The Connected Soldier
Four Ways to Connect Digital Threads with Simulation and Realize the Promise of Industry 4.0
The winners in this new age of manufacturing will be those that can connect the right digital threads of data to get to market faster, avoid downtime, quickly respond to supply-chain disruptions, and address sustainability issues.
Simulation is critical to connecting those threads in a two-way communication network that fully uses Industry 4.0 to achieve four advantages: accelerate time to market, reduce manufacturing downtime, take advantage of just-in-time additive manufacturing, and support sustainability initiatives.
How To Measure ML Model Accuracy
Machine learning (ML) is about making predictions about new data based on old data. The quality of any machine-learning algorithm is ultimately determined by the quality of those predictions.
However, there is no one universal way to measure that quality across all ML applications, and that has broad implications for the value and usefulness of machine learning.