Nvidia CEO Jensen Huang speaks about autonomous-driving vehicles during a Nvidia keynote address at CES 2026, an annual consumer electronics trade show, in Las Vegas, Nevada, on Monday. LAS VEGAS - Autonomous driving technology is expected to dominate the CES trade show in Las Vegas this week as investors bet that artificial intelligence will invigorate an industry beset by slow progress, high costs, safety incidents and regulatory scrutiny. Just as automakers have hit the brakes on electric vehicle (EV) plans and look for their next money maker, a slew of auto suppliers and start ups are lining up to show off their latest autonomous vehicle hardware and software. Partnerships and deals that promise to take away much of a driver's responsibilities, or remove the need for a human driver completely, are expected to be announced. This year you will see more and more focus on AI and autonomous, said C.J. Finn, U.S. automotive industry leader for PwC, adding that how companies use AI to solve the challenge of rolling out driverless cars safely will be closely watched. That connectivity on autonomous, I do think will be front and center.

In the battle for best-in-class customer experience and innovation, incumbents still come up short compared with today's agile new players. Banks are grappling with a bloated technology infrastructure that isn't aging gracefully, creating mid- and back-office ineffectiveness. With historically low proactive investment from banks in IT enhancements, many firms find it challenging to provide customers with the expected last-mile experience. Did you know that middle-office employees use around 80% of their time to gather data from systems, but use only 20% to analyze the data to make sound decisions? In my view, these mid-office bottlenecks, coupled with pandemic setbacks and challenges to economic growth across the globe, are making banks' digital transformation journey steep, yet imperative to serve customers well. According to Capgemini COVID research, 57% of consumers turned to digital banking at the onset of the pandemic and say they will continue even after the crisis resolves.

Singer talked about how AI now has four big "superpowers." Pattern recognition is the most common, and this is used in many domains, including image recognition, speech recognition, and fraud detection. It can be a universal approximator, as it learns the correlation between input and output, and is able to make predictions about results, which allows it to be used for simulations for things like particle movements at CERN or flight routes, using much less power and much less time than conventional simulations even if it's not quite as accurate. It is good at sequence mapping, used in things like cleaning DNA sequences or language translation. And it works for similarity-based generation--creating the next examples of something, such as creating voices, photos, or video.