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NVIDIA Releases 6G Research Cloud Platform to Use AI to Improve Wireless Communications



Today, NVIDIA unveiled a 6G research platform that gives academics a cutting-edge method to create the next wave of wireless technology.

The open, adaptable, and linked NVIDIA 6G Research Cloud platform provides researchers with a full suite of tools to enhance artificial intelligence (AI) for radio access network (RAN) technology. With the help of this platform, businesses can expedite the development of 6G technologies, which will link trillions of devices to cloud infrastructures and create the groundwork for a hyperintelligent world augmented by driverless cars, smart spaces, a plethora of immersive education experiences, extended reality, and cooperative robots.

Its early adopters and ecosystem partners include Ansys, Arm, ETH Zurich, Fujitsu, Keysight, Nokia, Northeastern University, Rohde & Schwarz, Samsung, SoftBank Corp., and Viavi.

According to NVIDIA senior vice president of telecom Ronnie Vasishta, “the massive increase in connected devices and host of new applications in 6G will require a vast leap in wireless spectral efficiency in radio communications.” “The application of AI, a software-defined, full-RAN reference stack, and next-generation digital twin technology will be critical to accomplishing this.”

There are three core components to the NVIDIA 6G Research Cloud platform:

The 6G NVIDIA Aerial Omniverse Digital Twin: Physically realistic simulations of entire 6G systems, from a single tower to a city, are made possible by this reference application and developer sample. Realistic terrain and object properties are combined with software-defined radio access networks (RANs) and simulators for user equipment. Researchers will be able to simulate, develop base-station algorithms based on site-specific data, and train models in real time to increase transmission efficiency by using the Omniverse Aerial Digital Twin.

NVIDIA Aerial CUDA-Accelerated RAN: A software-defined, full-RAN stack that provides researchers with a great deal of flexibility in terms of real-time customization, programming, and testing of 6G networks.

NVIDIA Sionna Neural Radio Framework: This framework uses NVIDIA GPUs to generate and capture data, train AI and machine learning models at scale, and integrates seamlessly with well-known frameworks like PyTorch and TensorFlow. NVIDIA Sionna, the top link-level research tool for wireless simulations based on AI/ML, is also included in this.

The 6G development research cloud platform’s components can all be used by top researchers in the field to further their work.

Charlie Zang, senior vice president of Samsung Research America, stated that the future convergence of 6G and AI holds the potential to create a technological landscape that is revolutionary. As a result, “an era of unmatched innovation and connectivity will usher in,” redefining our interactions with the digital world through seamless connectivity and intelligent systems.

In order to develop the next generation of wireless technology, simulation and testing will be crucial. Prominent vendors in this domain are collaborating with NVIDIA to address the novel demands of artificial intelligence utilizing 6G.

According to Shawn Carpenter, program director of Ansys’ 5G/6G and space division, “Ansys is committed to advancing the mission of the 6G Research Cloud by seamlessly integrating the cutting-edge Ansys Perceive EM solver into the Omniverse ecosystem.” “Digital twin creation for 6G systems is revolutionized by perceive EM.” Without a doubt, the combination of Ansys and NVIDIA technologies will open the door for 6G communication systems with AI capabilities.

According to Keysight Communications Solutions Group president and general manager Kailash Narayanan, “access to wireless-specific design tools is limited yet needed to build robust AI.” “Keysight is excited to contribute its expertise in wireless networks to support the next wave of innovation in 6G communications networks.”

Telcos can now fully utilize 6G and prepare for the next wave of wireless technology thanks to the NVIDIA 6G Research Cloud platform, which combines these potent foundational tools. Registering for the NVIDIA 6G Developer Program gives researchers access to the platform.


Biden, Kishida Secure Support from Amazon and Nvidia for $50 Million Joint AI Research Program



As the two countries seek to enhance cooperation around the rapidly advancing technology, President Joe Biden and Japanese Prime Minister Fumio Kishida have enlisted Inc. and Nvidia Corp. to fund a new joint artificial intelligence research program.

A senior US official briefed reporters prior to Wednesday’s official visit at the White House, stating that the $50 million project will be a collaborative effort between Tsukuba University outside of Tokyo and the University of Washington in Seattle. A separate collaborative AI research program between Carnegie Mellon University in Pittsburgh and Tokyo’s Keio University is also being planned by the two nations.

The push for greater research into artificial intelligence comes as the Biden administration is weighing a series of new regulations designed to minimize the risks of AI technology, which has developed as a key focus for tech companies. The White House announced late last month that federal agencies have until the end of the year to determine how they will assess, test, and monitor the impact of government use of AI technology.

In addition to the university-led projects, Microsoft Corp. announced on Tuesday that it would invest $2.9 billion to expand its cloud computing and artificial intelligence infrastructure in Japan. Brad Smith, the president of Microsoft, met with Kishida on Tuesday. The company released a statement announcing its intention to establish a new AI and robotics lab in Japan.

Kishida, the second-largest economy in Asia, urged American business executives to invest more in Japan’s developing technologies on Tuesday.

“Your investments will enable Japan’s economic growth — which will also be capital for more investments from Japan to the US,” Kishida said at a roundtable with business leaders in Washington.

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OnePlus and OPPO Collaborate with Google to Introduce Gemini Models for Enhanced Smartphone AI



As anticipated, original equipment manufacturers, or OEMs, are heavily integrating AI into their products. Google is working with OnePlus, OPPO, and other companies to integrate Gemini models into their smartphones. They intend to introduce the Gemini models on smartphones later this year, becoming the first OEMs to do so. Gemini models will go on sale later in 2024, as announced at the Google Cloud Next 24 event. Gemini models are designed to provide users with an enhanced artificial intelligence (AI) experience on their gadgets.

Customers in China can now create AI content on-the-go with devices like the OnePlus 12 and OPPO Find X7 thanks to OnePlus and OPPO’s Generative AI models.

The AI Eraser tool was recently made available to all OnePlus customers worldwide. This AI-powered tool lets users remove unwanted objects from their photos. For OnePlus and OPPO, AI Eraser is only the beginning.

In the future, the businesses hope to add more AI-powered features like creating original social media content and summarizing news stories and audio.

AndesGPT LLM from OnePlus and OPPO powers AI Eraser. Even though the Samsung Galaxy S24 and Google Pixel 8 series already have this feature, it is still encouraging to see OnePlus and OPPO taking the initiative to include AI capabilities in their products.

OnePlus and OPPO devices will be able to provide customers with a more comprehensive and sophisticated AI experience with the release of the Gemini models. It is important to remember that OnePlus and OPPO already power the Trinity Engine, which makes using phones incredibly smooth, and use AI and computational mathematics to enhance mobile photography.

By 2024, more original equipment manufacturers should have AI capabilities on their products. This is probably going to help Google because OEMs will use Gemini as the foundation upon which to build their features.

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Meta Explores AI-Enabled Search Bar on Instagram



In an attempt to expand the user base for its generative AI-powered products, Meta is moving forward. The business is experimenting with inserting Meta AI into the Instagram search bar for both chat with AI and content discovery, in addition to testing the chatbot Meta AI with users in nations like India on WhatsApp.

When you type a query into the search bar, Meta AI initiates a direct message (DM) exchange in which you can ask questions or respond to pre-programmed prompts. Aravind Srinivas, CEO of Perplexity AI, pointed out that the prompt screen’s design is similar to the startup’s search screen.

Plus, it might make it easier for you to find fresh Instagram content. As demonstrated in a user-posted video on Threads, you can search for Reels related to a particular topic by tapping on a prompt such as “Beautiful Maui sunset Reels.”

Additionally, TechCrunch spoke with a few users who had the ability to instruct Meta AI to look for recommendations for Reels.

By using generative AI to surface new content from networks like Instagram, Meta hopes to go beyond text generation.

With TechCrunch, Meta verified the results of its Instagram AI experiment. But the company didn’t say whether or not it uses generative AI technology for search.

A Meta representative told TechCrunch, “We’re testing a range of our generative AI-powered experiences publicly in a limited capacity. They are under development in varying phases.”

There are a ton of posts available discussing Instagram search quality. It is therefore not surprising that Meta would want to enhance search through the use of generative AI.

Furthermore, Instagram should be easier to find than TikTok, according to Meta. In order to display results from Reddit and TikTok, Google unveiled a new perspectives feature last year. Instagram is developing a feature called “Visibility off Instagram” that could allow posts to appear in search engine results, according to reverse engineer Alessandro Paluzzi, who made this discovery earlier this week on X.

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