The recently concluded Nvidia GTC Conference again provided a platform for advancing technology, Jensen Huang’s industry update and his one-person fashion show.

Robotics, artificial intelligence and computing remained key for exhibitors and workshop speakers at the San Jose Convention Center and surrounding open-air displays. Huang, the company’s co-founder in 1993, spoke of $1 trillion in AI demand in the conference keynote speech and while wearing his omnipresent jeans, T-shirt and black leather jacket.

The automotive industry had a significant presence. The first-floor entrance to the exhibit halls at the convention center featured vehicle bookends. Lucid, a Nvidia partner, displayed its Lucid Gravity Touring model to the right. Former pop performer will.i.am showcased Trinity, the futuristic three-wheeled vehicle, to the left.

Among others, three automotive exhibitors, Tensor, Neural Concept and Tata Consultancy Services, explained respective contributions. The former hopes to introduce the first consumer-ready level 4 autonomous vehicle soon. The other companies are quickly advancing how information is available for buyers and how the vehicles purchased remember drivers’ habits.

All three companies share an automotive goal. As more technology, including products developed by Nvidia, is prominent in more vehicles, the better the vehicle quality. Likewise, the “relationship” between human and machine improves.

“Our goal is to help OEMs (original equipment manufacturers) design cars faster using AI,” said Thomas von Tschammer, co-founder and U.S. managing director of the Swiss-based company. “Eighty years ago, when you were at GM and you wanted to build car, you built a prototype and crushed it against a wall.

“Forty years ago, you moved into the computer era and what is called digital modeling. You would design the car on the computer. But now, what Neural Concept does is that when GM comes up with a new design, it can be analyzed with AI in a few seconds.”

Tata Consultancy Services (TCS) has correspondingly accelerated how vehicles understand and remember drivers’ preferences.

Raja Shan, the company’s global head of business development, provided details of DriveSphere. The AI-assisted technology utilizes real-world driving datasets to provide sensor data, including LiDAR point clouds, camera images and high-definition maps.

Vehicles equipped with DriveSphere enhance driving safety and combine it with user habits. A vehicle further becomes a “companion.” The company doesn’t view the system as an added technology option but as a future standard feature.

While Neural Concept and Tata Consultancy Services offered computer presentations, Tensor’s peek into the automotive future was displayed off-site with several other AI-using and varying autonomous level cars and trucks.

With the tagline, “Hello, World! I’m Tensor. Earth’s first personal Robocar,” as its website introduction, the San Jose-based company markets its pending luxury vehicle as the first consumer available robocar. The level 4 autonomous car, Tensor believes, “can handle entire journeys within designated areas without human intervention.”

Pricing and availability are unknown with various regulatory permissions pending.

“Level 4 autonomy, where a car can drive itselfs without human intervention, California is such a pioneer in this,” said Amy Luca, Chief Marketing Officer at Tensor. “Waymo has been doing it for more than three years. We are comfortable with it now.”

Tensor, 10 years into its development, defines its vehicle as “the world’s first production-ready, personal Level 4 Robocar, purpose-built for private ownership. It’s fully realized vehicle designed around a dual-mode experience: giving owners the freedom to drive or be driven.”

“People are saying, ‘what if I my own (robotaxi),’ ” said Luca. “What if I didn’t have to make a call? What if I didn’t have to use an app?”