Hasta La Gadget!

At Upgrade 2025, NTT’s annual research and innovation summit held in San Francisco on April 9–10, Kazuhiro Gomi, President and CEO of NTT Research, took the stage to announce a new AI inference large-scale integration (LSI) chip that enables real-time processing of 4K video with low power consumption. The announcement aligned with the summit’s theme, “Innovation for the New Reality,” and marks a step forward in edge computing and AI video analysis.

“This chip runs AI inference on full 4K video without lowering the resolution,” Gomi said. “You can mount it on a drone flying 500 feet in the air and still detect human activity on the ground—something previously unachievable with conventional chips.”

Kazuhiro Gomi, President and CEO of NTT Research announcing the AI Inference Chip for 4K video surveillance processing

The LSI is designed for use in edge devices and terminals where power constraints have traditionally limited the deployment of AI processing for ultra-high-definition (UHD) video.

Current AI inference systems often require the compression of ultra-high-definition video to enable real-time processing on power-limited devices. NTT’s new chip addresses this challenge by enabling high-resolution inference at 30 frames per second (fps) while consuming less than 20 watts of power.

One application involves drone-mounted cameras used in infrastructure inspections and public safety monitoring. With the new chip, drones can identify individuals or objects from altitudes up to 150 meters (492 feet)—the legal flight ceiling for drones in Japan. Previously, such tasks were restricted to lower altitudes due to the computational and energy demands of high-resolution inference, limiting their operational scope to around 30 meters (98 feet).

The chip’s efficiency is driven by an AI inference engine developed by NTT. The engine boosts computational performance through techniques such as interframe correlation and dynamic bit-precision control, enabling real-time execution of object detection algorithms like YOLOv3 without requiring GPU-level power consumption.

To accomplish full 4K processing within energy constraints, the chip divides the high-resolution video into segments and applies algorithms that ensure object continuity across segment boundaries. The system maintains detection accuracy while reducing workload.

Privacy was also a key factor in the chip’s design. NTT Research has integrated encryption technology that can obscure sensitive details like faces at the point of capture. Authorized users can later decrypt this information when necessary, preserving privacy while still enabling post-event analysis.

Commercial sales of the chip are scheduled to begin by the end of the year through NTT Innovative Devices, the company’s semiconductor division.

The chip was one of the key highlights announced at Upgrade 2025, alongside other initiatives focused on advancing next-generation infrastructure. NTT researchers are also exploring the integration of this LSI into the Innovative Optical and Wireless Network (IOWN) Initiative. The goal is to leverage the high-speed, low-latency capabilities of the IOWN All-Photonics Network to support scalable, energy-efficient data-centric infrastructure (DCI).

Additionally, NTT is collaborating with NTT DATA to explore how the chip’s capabilities could be enhanced using Attribute-Based Encryption (ABE) technologies. ABE provides fine-grained access control, enabling secure data sharing that aligns with flexible policy requirements and existing system architectures.

In edge environments, the chip opens new possibilities for real-time AI across industries such as transportation, utilities, and public safety.

With this new AI inference chip, NTT Research is pushing the boundaries of edge computing and real-time video analysis—offering a powerful tool for next-generation imaging applications.

NTT Unveils Low-power AI Inference Chip for Real-Time 4K Video Analysis at Upgrade 2025

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On the heels of Razer pausing direct laptop sales in the US (thanks to those on-again, off-again, yet still very much on for China tariffs), the company has officially launched its remote game streaming app. Razer PC Remote Play, which the company rolled out in beta at CES 2025, is now officially available for iOS and Android.

Razer may be a bit late to the party here, and its app is hardly the only way to stream your PC games to other devices. (For example, Steam’s version has offered similar functionality for six years.) But Razer’s app has a neat trick: It automatically adjusts the game’s resolution and frame rate to match your mobile device’s. So, you can avoid the black bars you get with services that only stream games in a fixed aspect ratio.

Razer

The company says it works with all iOS and Android gaming controllers, and the iPad version has keyboard, mouse and trackpad support. It works with titles from multiple storefronts (including Steam, Epic, PC Game Pass and more). The app uses the AV1 video codec, which Razer says boosts quality and lowers latency.

Setup requires the Razer Nexus and PC Remote Play apps on your mobile device and Razer Cortex on the host PC. After signing in with your Razer ID, the two should pair automatically, and you can get down to business. You can download the app now from Google Play and the App Store.

This article originally appeared on Engadget at https://www.engadget.com/gaming/pc/razers-pc-remote-play-app-is-now-available-182533832.html?src=rss

Naughty Dog is back with yet another way for players to buy The Last of Us. The team announced a new bundle called The Last of Us Complete, which has the latest editions of both award-winning games for the PlayStation 5. This Complete edition runs $100 for the digital bundle, which is available now. A physical collector’s edition can be pre-ordered now for $110, with availability expected on July 10.

The original 2013 game was remastered for the PS4 just a year after its release, then received a complete remake and rebrand as The Last of Us Part I in 2022 for the PS5. Naughty Dog also moved pretty quick on the remaster of the 2020 sequel, pushing out the The Last of Us Part II Remastered early last year. The Part II project was a $10 upgrade that included new content as well as new bells and whistles for the graphics, but the Part I remake displeased some fans with its $70 asking price.

The announcement of this new game bundle was timed to align nicely with the debut of the TV adaptation’s second season, which premieres on April 13 and has already been confirmed for a third season. Between this new bundle being dubbed Complete and a recent interview with creator Neil Druckman, this does seem to squash any hopes fans might have had for the game to have a third installment. At least that means Complete really should be the last time you need to buy the titles. (At least, the last time until the PlayStation 6 arrives…)

This article originally appeared on Engadget at https://www.engadget.com/gaming/playstation/sonys-first-ps5-exclusive-of-2025-is-the-last-of-us-210329305.html?src=rss

Motorola is gearing up to announce new phones on April 24, based on a short teaser video the company shared on X. The video shows what looks like two types of phone — presumably a member of the 2025 Razr family and a Moto Edge — sliding and unfolding into place to spell “AI.”

There’s little else to go on from the video other than the April 24, 2025 date and a glimpse of some new finish options for Motorola’s phones, including a wood option. Last year’s Razr and Razr+ came in a variety of bright, poppy colors with faux suede and leather backs. Historically, Motorola has also prided itself on offering unique customizations options, starting all the way back with the Moto X in 2013, which was also available with a wooden finish. It’s possible that wood-paneled options ends up exclusive to the Moto Edge, but it would certainly make the Razr and Razr+ standout from other foldables if they got it, too.

Beyond that, the improvements Motorola could reasonably make to the Razr are more expected. It’s made the front cover screen bigger before, and it could again on the 2025 Razr. The 2025 Razr+ couldn’t get a bigger front display without Motorola changing the dimensions of the phone itself, but that’s possible, too. If Motorola wanted to really offer a Razr worth upgrading to, it would also improve the phone’s camera, fixing things like color reproduction and photo processing. 

We should have a better idea of what Motorola has planned when it makes its April 24 announcement, until then, smart money is on the company cramming in a few more AI-powered features.

This article originally appeared on Engadget at https://www.engadget.com/mobile/smartphones/youll-have-to-wait-until-april-24-to-know-if-motorola-was-brave-enough-to-make-a-wooden-razr-211723767.html?src=rss

NTT Research has announced the launch of its new Physics of Artificial Intelligence Group, an independent initiative spun out from its Physics & Informatics (PHI) Lab. The group was introduced as part of a broader unveiling at NTT’s Upgrade 2025 innovation summit, reflecting growing global interest in building safer, more trustworthy AI systems. The initiative aims to understand the inner workings of artificial intelligence, much like classical physics once decoded the behavior of falling apples.

NTT Research President and CEO Kazu Gomi, keynote speaker at Upgrade 2025

“We know that AI can tell you important things… but we don’t know exactly how that happens. So the notion of Physics of AI for us is: let’s uncover and understand how AI works.” – said Kazu Gomi, CEO of NTT Research

Gomi acknowledged AI’s tremendous potential to transform industries and daily life but also addressed key concerns that could hinder its progress, particularly energy consumption, privacy, and trustworthiness. With a team of over 50 world-class researchers and a mission to “upgrade reality,” NTT Research is doubling down on bold ideas that may take years to commercialize but promise to reshape the technological landscape in profound ways“. As Gomi noted, “We want to get ready for the future… and through science, we can make a big thing out of it.”

Led by NTT Research Scientist Dr. Hidenori Tanaka, an expert in physics, neuroscience, and machine learning, the new Physics of Artificial Intelligence group seeks to demystify the “black box” nature of artificial intelligence—particularly how AI models learn, process information, and make decisions. The group builds on five years of foundational work by the PHI Lab and continues a close collaboration with academic institutions, including Harvard University’s Center for Brain Science, Princeton University, and Stanford University.

The new group’s mission is threefold: to deepen understanding of AI’s internal mechanisms; to create experimentally controllable learning environments for AI, inspired by physics methodologies; and to bridge the trust gap between AI systems and human users. The aim is not just technical insight but also ethical AI integration, achieved through transparency rather than reactive fine-tuning.

NTT Research’s previous work includes a widely cited neural network pruning algorithm, a bias-removal technique for large language models recognized by NIST, and new studies into how AI forms conceptual understanding. The group’s research could influence future designs of more natural, efficient AI systems by leveraging similarities between biological intelligence and artificial neural networks.

As AI’s influence continues to expand across sectors, from healthcare to infrastructure, NTT Research President and CEO Kazu Gomi emphasized the importance of trust and ethics in AI development. “The new group aims to demystify concerns and bias around AI solutions to create a harmonious path forward for the coexistence of AI and humanity,” he said.

Dr. Hidenori Tanaka, Scientist, NTT Research, PAI Group, NTT Research

NTT Research Launches New “Physics of Artificial Intelligence” Group to Address AI’s Black Box Challenge

, original content from Ubergizmo. Read our Copyrights and terms of use.