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

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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.

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AI Features of the Google Pixel 8a Leaked before the Device’s Planned Release

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A new smartphone from Google is anticipated to be unveiled during its May 14–15 I/O conference. The forthcoming device, dubbed Pixel 8a, will be a more subdued version of the Pixel 8. Despite being frequently spotted online, the smartphone has not yet received any official announcements from the company. A promotional video that was leaked is showcasing the AI features of the Pixel 8a, just weeks before its much-anticipated release. Furthermore, internet leaks have disclosed software support and special features.

Tipster Steve Hemmerstoffer obtained a promotional video for the Pixel 8a through MySmartPrice. The forthcoming smartphone is anticipated to include certain Pixel-only features, some of which are demonstrated in the video. As per the video, the Pixel 8a will support Google’s Best Take feature, which substitutes faces from multiple group photos or burst photos to “replace” faces that have their eyes closed or display undesirable expressions.

There will be support for Circle to Search on the Pixel 8a, a feature that is presently present on some Pixel and Samsung Galaxy smartphones. Additionally, the leaked video implies that the smartphone will come equipped with Google’s Audio Magic Eraser, an artificial intelligence (AI) tool for eliminating unwanted background noise from recorded videos. In addition, as shown in the video, the Pixel 8a will support live translation during voice calls.

The phone will have “seven years of security updates” and the Tensor G3 chip, according to the leaked teasers. It’s unclear, though, if the phone will get the same amount of Android OS updates as the more expensive Pixel 8 series phones that have the same processor. In the days preceding its planned May 14 launch, the company is anticipated to disclose additional information about the device.

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Apple Unveils a new Artificial Intelligence Model Compatible with Laptops and Phones

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All of the major tech companies, with the exception of Apple, have made their generative AI models available for use in commercial settings. The business is, nevertheless, actively engaged in that area. Wednesday saw the release of Open-source Efficient Language Models (OpenELM), a collection of four incredibly compact language models—the Hugging Face model library—by its researchers. According to the company, OpenELM works incredibly well for text-related tasks like composing emails. The models are now ready for development and the company has maintained them as open source.

In comparison to models from other tech giants like Microsoft and Google, the model is extremely small, as previously mentioned. 270 million, 450 million, 1.1 billion, and 3 billion parameters are present in Apple’s latest models. On the other hand, Google’s Gemma model has 2 billion parameters, whereas Microsoft’s Phi-3 model has 3.8 billion. Minimal versions are compatible with phones and laptops and require less power to operate.

Apple CEO Tim Cook made a hint in February about the impending release of generative AI features on Apple products. He said that Apple has been working on this project for a long time. About the details of the AI features, there is, however, no more information available.

Apple, meanwhile, has declared that it will hold a press conference to introduce a few new items this month. Media invites to the “special Apple Event” on May 7 at 7 AM PT (7:30 PM IST) have already begun to arrive from the company. The invite’s image, which shows an Apple Pencil, suggests that the event will primarily focus on iPads.

It seems that Apple will host the event entirely online, following in the footsteps of October’s “Scary Fast” event. It is implied in every invitation that Apple has sent out that viewers will be able to watch the event online. Invitations for a live event have not yet been distributed.
Apple has released other AI models before this one. The business previously released the MGIE image editing model, which enables users to edit photos using prompts.

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Google Expands the Availability of AI Support with Gemini AI to Android 10 and 11

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Android 10 and 11 are now compatible with Google’s Gemini AI, which was previously limited to Android 12 and above. As noted by 9to5google, this modification greatly expands the pool of users who can take advantage of AI-powered support for their tablets and smartphones.

Due to a recent app update, Google has lowered the minimum requirement for Gemini, which now makes its advanced AI features accessible to a wider range of users. Previously, Gemini required Android 12 or later to function. The AI assistant can now be installed and used on Android 10 devices thanks to the updated Gemini app, version v1.0.626720042, which can be downloaded from the Google Play Store.

This expansion, which shows Google’s goal to make AI technology more inclusive, was first mentioned by Sumanta Das on X and then further highlighted by Artem Russakoviskii. Only the most recent versions of Android were compatible with Gemini when it was first released earlier this year. Google’s latest update demonstrates the company’s dedication to expanding the user base for its AI technology.

Gemini is now fully operational after updating the Google app and Play Services, according to testers using Android 10 devices. Tests conducted on an Android 10 Google Pixel revealed that Gemini functions seamlessly and a user experience akin to that of more recent models.

Because users with older Android devices will now have access to the same AI capabilities as those with more recent models, the wider compatibility has important implications for them. Expanding Gemini’s support further demonstrates Google’s dedication to making advanced AI accessible to a larger segment of the Android user base.

Users of Android 10 and 11 can now access Gemini, and they can anticipate regular updates and new features. This action marks a significant turning point in Google’s AI development and opens the door for future functional and accessibility enhancements, improving everyone’s Android experience.

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