Unlike fully electric vehicles, fully online programs are not inherently superior from an environmental perspective. However, to understand the future of higher education, the transition from gas to ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

"Machine learning algorithms enable vehicles to 'learn' from real-world conditions and evolve," says Dr. Rohit Ugle, a visionary Technical Specialist who champions new technological tools to improve ...

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus ...

Why vehicle interiors are an extremely challenging acoustic environment. How Dirac uses data measurements to determine each car’s unique “acoustic fingerprint.” What is a “super speaker” and how does ...