Snapdragon 8 Gen 2: Spectacles with real-time smartphone and Photoshop capabilities: Introducing the Snapdragon | chipset Science and Technology

Augmented reality glasses.
Augmented reality glasses.Qualcomm

The chips are used to calculate what the neurons of our body are: basic functional units whose main task is to receive, process and transmit information. Their development determines whether applications can become more complex, handle artificial intelligence, process ever-increasing amounts of data and reproduce clearer, more realistic images and sounds. Each advance in these integrated circuits drives the rest of the industry to develop new capabilities for smartphones, cars, home appliances, computers, and more.

This month, Qualcomm unveiled its latest chipset, the Snapdragon 8 Gen 2, designed to use artificial intelligence, quadruple performance and reduce power consumption by up to 60%. These are the three core areas that are also being developed by other companies such as Intel, Samsung, Taiwan Semiconductor Manufacturing (TSMC), and Apple – which in June began developing its own family of chips for the Mac, the M2. Here are some of the latest developments from Qualcomm:

Healer. Qualcomm president Cristiano Amon believes the next five years will be geared towards technology convergence: providing other devices with the capabilities of smartphones while giving phones some of the advantages of computers and consoles. The Snapdragon 8 Gen 2 platform was developed with this in mind, and starting next year, companies like Samsung, Honor, OnePlus, Sony, Xiaomi, and Motorola will be making it a part of their high-end devices. Its specifications are: 4nm processor (more efficient and capable); Main core with a maximum frequency of 3.2 GHz, three out of 2.8 and four out of 2, and support for 5G networks. Also, 10Gbps downloads and top performance with Wi-Fi 7, the latest wireless technology. It delivers innovative AI, unparalleled connectivity and high-quality professional gaming, says Chris Patrick, corporate vice president.

Glasses that aspire to take off the watch. Amon is convinced that glasses will become more wearable. They are traditional looking glasses that will put all mobile apps within a few millimeters of your eyes. Things like street directions, a video call, your most recent messages, information about what you’re seeing, a movie, or the metaverse will be displayed on the Lenses. Amon believes they will start to become available in the next “5 to 10 years.” From a technological standpoint, he points out, it’s entirely possible; It’s all a matter of time.

Distribution of components in smart glasses from Qualcomm developments.
Distribution of components in smart glasses from Qualcomm developments.

Underpinning this near future is the Snapdragon AR2 Gen 1, a multi-chip architecture that includes an augmented reality processor on one temple, an augmented reality processor in the middle of the frame and a connectivity system that uses FastConnect 7800 on the other temple. Through this distribution of elements, up to nine cameras can be used, AI performance can be increased by 2.5 times, power consumption can be reduced by 50%, and most importantly, the entire device can fit in a conventional frame.

language. The AI ‚Äč‚Äčengine has paved the way for Snapdragon Smart, a natural language processing system that facilitates simultaneous translation into multiple languages, and Sensing Hub, which allows users to give increasingly complex commands to voice assistants, so “find a restaurant” or “find a hotel nearby.” From me it “could become” locating a place that serves Chinese food for less than $20 and it’s less than 10 minutes away” or “a four-star hotel with a gym and babysitting and it’s close to the beach, for less than $200 (a) night.”

Instant photoshop. Adobe is working with Qualcomm to develop Snapdragon Sight, a platform that aims to bring a professional photography experience to smartphone cameras using real-time semantic segmentation of photos and videos. Just like Photoshop, this feature identifies the different layers of the image, such as faces, features, hair, clothes, sky or background, to enhance them using artificial intelligence as you take the photo. Companies like Sony or Samsung also apply Qualcomm’s system to their image sensors for up to 200MP snapshots and 8K HD video.

Judd Heap at a presentation of the image semantic segmentation system created by Qualcomm.
Judd Heap at a presentation of the image semantic segmentation system created by Qualcomm.

the games. Faster execution (25%), realism and lower consumption (40%) are the keys to Snapdragon Elite Gaming, with which developers can create more realistic and immersive ray-tracing graphics for mobile games without draining the battery. Game development company Niantic has already announced that it will integrate this technology.

Contact. The new processing platform is linked to 5G connectivity and Wi-Fi 7, the latest generation of wireless connectivity, thanks to the X70 modem, to gain speed, capacity, coverage, latency and energy efficiency. It also doubles the range of Bluetooth connectivity and allows simultaneous use of two SIM cards.

A video game on a mobile phone with the implementation of Snapdragon 8 Gen 2 technology.
A video game on a mobile phone with the implementation of Snapdragon 8 Gen 2 technology.

It seems. Another goal of the new developments is to improve the experience of music, calls, video and gaming applications. The idea is not just to improve clarity and immersiveness, but to use possible AI to distinguish and cancel out sounds, for example, all outside noise during a conversation.

Computers. Technological convergence does not only mean the advancement of smartphones; The goal is to bring mobile technology to all devices, especially laptops, and machines, such as cars. In this sense, the collaboration between Qualcomm and Microsoft will allow the integration of artificial intelligence acceleration systems into Windows 11, not only to improve image and sound applications (Windows Studio Effects Voice Focus and Background Blur) but, above all, to take advantage of advances in artificial intelligence to improve performance and efficiency. Power for CPUs (Central Processing Units) and GPUs (Graphics Processing Units).