This week, Nvidia, a company best known for its high-powered graphic processing units (GPUs) debuted a platform for the development of AI-powered medical devices. The device, called Clara Holoscan MGX, provides computing power allowing medical sensors to process multiple data streams in parallel, train AI algorithms, and visualize biology in real time. Clara Holoscan MGX, debuted at the Nvidia's 2022 GTC conference, is an "open, scalable robotics platform," as CEO Jensen Huang put it in a keynote address. It's a hardware and software stack designed to help connect robotic medical devices or sensors, with AI applications. Take the process of endoscopy as an example.

Chipmaker Nvidia is acquiring DeepMap, the high-definition mapping startup announced. The company said its mapping IP will help Nvidia's autonomous vehicle technology sector, Nvidia Drive. "The acquisition is an endorsement of DeepMap's unique vision, technology and people," said Ali Kani, vice president and general manager of Automotive at Nvidia, in a statement. "DeepMap is expected to extend our mapping products, help us scale worldwide map operations and expand our full self-driving expertise." One of the biggest challenges to achieving full autonomy in a passenger vehicle is achieving proper localization and updated mapping information that reflects current road conditions.

NVIDIA (NASDAQ:NVDA) showed a notable improvement in growth across the business in its latest quarter. Besides the strength in the gaming segment, two other areas that stood out in Q2 2020 were the data center and automotive divisions, with both showing an increase in revenue over the previous quarter. NVIDIA stock is down 38% over the last year, partly because of a slowdown in the data center business. But that segment's sequential growth last quarter could be signaling a rebound. With artificial intelligence (AI) technology getting more advanced, NVIDIA is starting to see more companies turn to graphics processing units (GPUs) to power the development of conversational AI, which management believes is an enormous growth opportunity.

Volvo Group and NVIDIA are delivering autonomy to the world's transportation industries, using AI to revolutionize how people and products move all over the world. At its headquarters in Gothenburg, Sweden, Volvo Group announced Tuesday that it's using the NVIDIA DRIVE end-to-end autonomous driving platform to train, test and deploy self-driving AI vehicles, targeting public transport, freight transport, refuse and recycling collection, construction, mining, forestry and more. By injecting AI into these industries, Volvo Group and NVIDIA can create amazing new vehicles and deliver more productive services. The two companies are co-locating engineering teams in Gothenburg and Silicon Valley. Together, they will build on the DRIVE AGX Pegasus platform for in-vehicle AI computing and utilize the full DRIVE AV software stack for 360-degree sensor processing, perception, map localization and path planning.

After more than a century on the road, the automobile is ready for a major redesign. Instead, it was the production-ready technologies that will infuse AI into the next generation of cars for safer, more efficient driving in the near term. And, making these compute-intensive products a mass-market reality is the high-performance, energy-efficient NVIDIA DRIVE platform. NVIDIA CEO Jensen Huang and Mercedes-Benz Executive VP Sajjad Khan announce new partnership at CES 2019.NVIDIA These new vehicles are being redesigned from the inside out. To handle the compute requirements of autonomous driving and an intelligent cockpit, Mercedes-Benz is working with NVIDIA to develop a new centralized vehicle computing architecture.

NVIDIA GPUs have been on the forefront of accelerated neural network processing and are the de facto standard for accelerated neural network research and development (R&D) plus deep learning training. At the NVIDIA GPU Technology Conference (GTC) in Beijing China earlier this week, the company maneuvered to also become the de facto standard for accelerated neural network inference deployment. At GTC Beijing, NVIDA lined up the major Chinese cloud companies for AI computing: Alibaba Cloud, Baidu Cloud, and Tencent Cloud. At GTC-Beijing, it announced inference designs with Alibaba Cloud, Tencent, Baidu Cloud, JD.com, and iFlytek.

NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence (AI) systems for self-driving vehicles. NVIDIA's unified AI computing architecture enables training deep neural networks in the data center on the NVIDIA DGX-1, and then seamlessly runs them on NVIDIA DRIVE PX 2 inside the vehicle. This end-to-end approach leverages NVIDIA DriveWorks software and allows cars to receive over-the-air updates to add new features and capabilities throughout the life of a vehicle.