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Lightspeed AI Computing Made Possible With a New Chip

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Lightspeed AI Computing Made Possible With a New Chip

To do the intricate math required for AI training, experts at the University of Pennsylvania have created a new microprocessor that runs on light waves rather than electricity. With this technology, computers could process information at a much faster rate and use less power overall.

The silicon-photonic (SiPh) chip design is the first to combine the technology of the silicon-photonic (SiPh) platform—which uses silicon, the inexpensive, abundant element used to mass-produce computer chips—with the groundbreaking research of H. Nedwill Ramsey Professor and Benjamin Franklin Medal Laureate Nader Engheta on manipulating materials at the nanoscale to perform mathematical computations using light—the fastest possible means of communication.

One path toward creating computers that surpass the capabilities of current chips—which are largely built on the same ideas as chips from the early days of the computing revolution in the 1960s—is the interaction of light waves with matter.

Taking advantage of the fact that Aflatouni’s research group has pioneered nanoscale silicon devices, “we decided to join forces,” adds Engheta.

Their objective was to create a platform that could carry out vector-matrix multiplication, a fundamental mathematical operation used in the construction and operation of neural networks, the type of computer architecture that underpins modern artificial intelligence systems.

According to Engheta, “you make the silicon thinner, say 150 nanometers,” but only in certain places, as opposed to using a silicon wafer of uniform height. Without the use of any additional materials, those height variations offer a way to regulate how light travels through the chip. This is because the height variations can be distributed to cause light to scatter in particular patterns, enabling the chip to execute mathematical operations at the speed of light.

Aflatouni says that this design is already ready for commercial applications and could be modified for use in graphics processing units (GPUs), the demand for which has increased dramatically with the widespread interest in creating new artificial intelligence systems, due to the limitations imposed by the commercial foundry that produced the chips.

“They can adopt the Silicon Photonics platform as an add-on,” says Aflatouni, “and then you could speed up training and classification.”

The chip developed by Engheta and Aflatouni offers advantages in terms of privacy in addition to speed and energy efficiency: Future computers equipped with such technology will be nearly impenetrable since multiple computations can occur concurrently, eliminating the need to keep sensitive data in working memory.

“No one can hack into a non-existing memory to access your information,” says Aflatouni.

Vahid Nikkhah, Ali Pirmoradi, Farshid Ashtiani, and Brian Edwards from Penn Engineering are the other co-authors.

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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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