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Google Chrome gets ARM optimization ahead of Snapdragon-powered Samsung Galaxy Book 4 Edge launch

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Google has announced that it has started rolling out the stable version of Google Chrome that is optimized for computers using ARM processors. More specifically, Google has hinted that it has made the newest version of its web browser that performs much faster and smoother on the upcoming Snapdragon X Elite processor.

This will benefit not only Samsung’s upcoming Galaxy Book 4 laptop with the Snapdragon X Elite chip but also existing Galaxy Book laptops with previous-generation Snapdragon chips.

ARM-optimized stable Google Chrome is available for download

Google Chrome Windows 11 ARM

The new Google Chrome version optimized for ARM and Snapdragon X Elite processor is now available for download. Google and Qualcomm have worked closely on this optimization, and they say that it offers “a dramatic performance improvement.” The ARM-optimized version of Google Chrome has been in beta testing since January 2024, and people who have tested it on computers with ARM-based processors and Windows 11 OS have reported significant performance improvements in terms of smoothness and speed.

Cristiano Amon, President and CEO of Qualcomm Inc., said, “The new version of Google Chrome will help cement Snapdragon X Elite’s role as the premier platform for Windows computing starting in mid-2024.” He added, “As we enter the era of the AI PC, we can’t wait to see Chrome shine by taking advantage of the powerful Snapdragon X Elite system.”

Samsung confirmed after the announcement of the Snapdragon X Elite that it is making a device based on the new chipset. A few weeks ago, it was revealed that the device could be named the Galaxy Book 4 Edge. A recent report claimed that the Galaxy Book 4 Edge features a 14-inch screen, the Snapdragon X Elite, 16GB RAM, and 512GB SSD. It could be priced at €1,800 in Europe.

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The NSA Warns That US Adversaries Free to Mine Private Data May Have an AI Edge

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Electrical engineer Gilbert Herrera was appointed research director of the US National Security Agency in late 2021, just as an AI revolution was brewing inside the US tech industry.

The NSA, sometimes jokingly said to stand for No Such Agency, has long hired top math and computer science talent. Its technical leaders have been early and avid users of advanced computing and AI. And yet when Herrera spoke with me by phone about the implications of the latest AI boom from NSA headquarters in Fort Meade, Maryland, it seemed that, like many others, the agency has been stunned by the recent success of the large language models behind ChatGPT and other hit AI products. The conversation has been lightly edited for clarity and length.

Person in a suit smiling in front of the American and National Security Agency flags

Gilbert HerreraCourtesy of National Security Agency

How big of a surprise was the ChatGPT moment to the NSA?

Oh, I thought your first question was going to be “what did the NSA learn from the Ark of the Covenant?” That’s been a recurring one since about 1939. I’d love to tell you, but I can’t.

What I think everybody learned from the ChatGPT moment is that if you throw enough data and enough computing resources at AI, these emergent properties appear.

The NSA really views artificial intelligence as at the frontier of a long history of using automation to perform our missions with computing. AI has long been viewed as ways that we could operate smarter and faster and at scale. And so we’ve been involved in research leading to this moment for well over 20 years.

Large language models have been around long before generative pretrained (GPT) models. But this “ChatGPT moment”—once you could ask it to write a joke, or once you can engage in a conversation—that really differentiates it from other work that we and others have done.

The NSA and its counterparts among US allies have occasionally developed important technologies before anyone else but kept it a secret, like public key cryptography in the 1970s. Did the same thing perhaps happen with large language models?

At the NSA we couldn’t have created these big transformer models, because we could not use the data. We cannot use US citizen’s data. Another thing is the budget. I listened to a podcast where someone shared a Microsoft earnings call, and they said they were spending $10 billion a quarter on platform costs. [The total US intelligence budget in 2023 was $100 billion.]

It really has to be people that have enough money for capital investment that is tens of billions and [who] have access to the kind of data that can produce these emergent properties. And so it really is the hyperscalers [largest cloud companies] and potentially governments that don’t care about personal privacy, don’t have to follow personal privacy laws, and don’t have an issue with stealing data. And I’ll leave it to your imagination as to who that may be.

Doesn’t that put the NSA—and the United States—at a disadvantage in intelligence gathering and processing?

II’ll push back a little bit: It doesn’t put us at a big disadvantage. We kind of need to work around it, and I’ll come to that.

It’s not a huge disadvantage for our responsibility, which is dealing with nation-state targets. If you look at other applications, it may make it more difficult for some of our colleagues that deal with domestic intelligence. But the intelligence community is going to need to find a path to using commercial language models and respecting privacy and personal liberties. [The NSA is prohibited from collecting domestic intelligence, although multiple whistleblowers have warned that it does scoop up US data.]

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Motorola’s new Edge 50 Pro bares all in latest leak, revealing specs and features

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An avalanche of information has recently leaked for Motorola’s upcoming flagship smartphone, the Edge 50 Pro revealing nearly everything from specs to features.

The company posted a few teasers on its Indian X account (the platform formerly known as Twitter) of what the device will be capable of. But much of the details actually come from a listing page found on Flipkart, an Indian e-commerce platform. There, it’s revealed the Edge 50 Pro sports an 6.7-inch, curved pOLED display outputting 1.5K resolution (2,712 x 1,220 pixels) and has a refresh rate of 144Hz. Motorola is seemingly putting a lot of work into making the viewing experience as immersive as possible. Not only does it support the entire DCI-P3 color gamut, the company claims the screen is the “world’s first Pantone validated display”. 



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Add Edge Lighting effects to your Galaxy phone without Good Lock

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Edge Lighting used to be a Good Lock-exclusive feature, but it has since been simplified and added to One UI as a regular option. What is Edge Lighting? If the name didn’t give it away, Edge Lighting allows you to add visual effects on and around the edges of your Galaxy phone’s screen.

These visual effects show up when you receive notifications on your Galaxy phone and vary from simple effects at the edge of the screen to more intricate designs featuring fireworks, bubbles, and so on. Here’s all you need to know to add Edge Lighting effects to your Galaxy phone.

Beautify your Galaxy device with light effects

To enable Edge Lighting effects, first, open the Settings app on your Galaxy phone and access “Notifications.” Then, go to “notification pop-up style.” And finally, tap “Edge lighting style” to access the customization menu.

In total, you can choose one of eleven Edge Lighting effects. Some are just edge effects while others include extra elements, like ripples, spheres, and so on. Some are single-tone while other effects are multi-colored.

You can go one step further with these Edge Lighting effects by customizing colors (via the “Color” tab) and characteristics such as transparency, width, and duration (via the “Advanced” tab).

NOTE: The screenshot used in this article are based on One UI 6.1 for the Galaxy S24 series. Other One UI versions might offer different options.

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Galaxy Book 4 Edge ARM chip confirmed by online benchmark

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Last updated: March 8th, 2024 at 12:51 UTC+01:00

Yesterday, we brought to light a trademark application pertaining to a new Samsung device called the Book 4 Edge. We thought about it for a bit and guessed that the Book 4 Edge might be Samsung’s first Windows 11 on ARM laptop. Now, an online benchmark is lending weight to our prediction.

The Galaxy Book 4 Edge by Samsung popped up in the online benchmark Geekbench earlier today (via Windows Latest). The laptop runs Windows 11 Home (64-bit) and is powered by the Snapdragon X Elite CPU and 16GB of RAM.

Qualcomm previously said it is looking for partners for its new Snapdragon X Elite chip, and this benchmark, if legitimate, confirms that Samsung is on the list.

Conversely, this benchmark also seems to indicate that Samsung is not yet ready to create its own Exynos ARM-based chip for laptops. And that’s probably a good thing at the moment, seeing how the company is busy proving that it sorted out Exynos for mobile phones.

Plenty of power for Windows on ARM devices

Synthetic benchmark scores for the Galaxy Book 4 Edge laptop powered by the Snapdragon X Elite chip look promising. The laptop scored 2,706 points in single-core and 12,646 points in multi-core tests in Geekbench 6.2.2.

Comparing these scores to Apple’s M1, M2, and M3 chips, it looks like the Snapdragon X Elite beats the first two but is outperformed by the M3. Apple M Pro chips excluded.

Of course, in practice, the M and Snapdragon X Elite chips run in very different environments, i.e., MacOS and Windows 11 on ARM, which means these benchmark figures might not necessarily say which chip performs better in the real world. Apple has optimized its M chips for MacOS very well, and it remains to be seen if we can say the same about the Snapdragon X Elite and Windows 11 on ARM.

Interestingly, recent rumors say Qualcomm’s new chip will also power the upcoming Microsoft Surface Laptop 6 and Surface Pro 10 tablet PC. Samsung’s Galaxy Book 4 Edge will inevitably compete with Microsoft’s Surface line, but whether this Book 4 Edge is a regular notebook, a 2-in-1 with a 360-degree hinge, or a tablet PC with a detachable keyboard is to be determined.

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New ASUS IoT edge AI computers and motherboards unveiled

IoT edge AI PC

The world of industrial computing is constantly evolving, and ASUS IoT is at the forefront of this transformation with its latest release of motherboards and edge AI computers. These new products are set to redefine performance, efficiency, and connectivity for a wide range of industrial applications, thanks to their cutting-edge technology.

At the heart of these innovations is the powerful 14th generation Intel Core processors. These processors are the driving force behind the devices, ensuring that they can handle the most demanding tasks with ease. The introduction of DDR5 memory is a significant step forward, offering a 50% increase in transfer speeds compared to the previous generation. This means that systems will be faster and more energy-efficient, which is essential in today’s fast-paced industrial world.

The new motherboards and computers also feature PCI Express (PCIe) 5.0 technology. This latest iteration doubles the data transfer rate of its predecessor, PCIe 4.0, allowing systems to manage the increasing data requirements of modern industrial settings. Importantly, it maintains compatibility with existing technologies, ensuring a smooth transition for businesses upgrading their systems.

Visual capabilities have been given a considerable upgrade as well. The integration of Intel UHD Graphics technology supports ultra-high-definition video and multiple displays, which is critical for industries that rely on detailed visual information for monitoring and control.

Revolutionizing Industrial IoT Computing

Security is a top priority in any industrial setting, and ASUS IoT has addressed this with a comprehensive suite of security features. These include Boot Guard, Platform Trust Technology, AES-NI, and VT, all of which work together to safeguard systems against cyber threats and ensure a secure computing environment.

Connectivity is another area where these new products excel. With support for Wi-Fi 7, they offer high-speed connections of up to 5 Gbps. This is a crucial feature for industrial systems that need to communicate and transfer data quickly and efficiently. Understanding the varied needs of industrial computing, ASUS IoT has released a range of form factors, including ATX, micro ATX, Mini-ITX, and thin Mini-ITX. This variety allows businesses to choose the best fit for their specific requirements, ensuring that they have the most effective solution for their operations.

The lineup includes models such as the ASUS IoT R680EA-IM-A, Q670EA-IM-A, H610A-IM-A, H610T-EM-A, PE4000G, and PE6000G. Each model is tailored to meet the needs of different industrial applications, demonstrating ASUS IoT’s commitment to providing versatile and robust computing solutions.

The impact of these technological advancements is far-reaching, with potential benefits for a range of sectors. Retail, healthcare, smart factories, supply-chain management, and smart city infrastructure are just a few of the areas that stand to gain from the improved efficiency and reliability that these motherboards and edge AI computers offer.

Edge AI computer for Superior Performance

ASUS IoT’s new range of industrial motherboards and edge AI computers represents a significant step forward in the field of industrial computing. With their enhanced transfer speeds, energy efficiency, superior graphics, and robust security features, these products are set to make a substantial impact on how industries operate. For businesses looking to upgrade their systems, ASUS IoT’s latest offerings present a compelling choice that promises to bring about a new level of performance and reliability.

The industrial computing landscape is undergoing a significant transformation, driven by the need for more powerful and efficient systems. ASUS IoT is leading this change with its new line of motherboards and edge AI computers. These devices are designed to meet the rigorous demands of industrial applications, providing enhanced performance, efficiency, and connectivity. At the core of these advancements are the 14th generation Intel Core processors, which deliver the computational power necessary to handle complex tasks without a hitch. The adoption of DDR5 memory in these systems marks a substantial improvement, offering faster data transfer speeds and greater energy efficiency, which are critical in high-stakes industrial environments.

The integration of PCI Express (PCIe) 5.0 technology in ASUS IoT’s new products is a game-changer for industrial computing. This technology doubles the data transfer rate of PCIe 4.0, enabling systems to keep up with the growing data demands of modern industrial operations. The backward compatibility with older technologies ensures a seamless upgrade path for businesses. Visual capabilities are also significantly improved, with Intel UHD Graphics technology supporting high-definition video and multiple displays, a vital feature for industries that depend on precise visual monitoring and control.

Security and Connectivity: Pillars of Industrial Systems

In the realm of industrial computing, security is paramount. ASUS IoT has meticulously addressed this concern by incorporating a suite of security features, including Boot Guard, Platform Trust Technology, AES-NI, and VT. These features form a comprehensive security framework that protects systems from cyber threats, ensuring a secure and reliable computing environment. Connectivity is equally important, and with the support for Wi-Fi 7, ASUS IoT’s products offer rapid connections up to 5 Gbps, essential for the swift communication and data transfer required in industrial settings.

ASUS IoT’s diverse range of form factors, including ATX, micro ATX, Mini-ITX, and thin Mini-ITX, caters to the unique needs of various industrial applications. The lineup, which includes models like the ASUS IoT R680EA-IM-A and PE6000G, is designed to provide versatile and robust computing solutions.

 

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New Intel Edge platform unveiled for scaling AI applications

New Intel Edge platform unveiled for scaling AI apps

Intel has recently unveiled an advanced Edge AI Platform that is set to transform the way artificial intelligence (AI) applications are deployed and managed. This new platform is designed to make operations simpler and more cost-effective, similar to the services provided by cloud computing, but it operates at the edge of the network. The introduction of this platform is a significant milestone in the journey of digital transformation.

In the fast-paced world of digital technology, AI has become a critical component. Intel’s new Edge Platform is specifically designed to accelerate this technological evolution, with a focus on AI applications that are situated at the network’s edge. By processing data closer to where it is generated, the platform allows for immediate decision-making, which is crucial for applications that require quick responses.

New Intel Edge platform

Edge computing faces unique challenges, including maintaining high performance, meeting diverse requirements, securing data, and managing complex systems. Intel’s platform addresses these challenges by providing low-latency, advanced AI analytics that enable faster and smarter decision-making in a variety of settings, such as industrial automation and smart city projects.

“The edge is the next frontier of digital transformation, being further fueled by AI. We are building on our strong customer base in the market and consolidating our years of software initiatives to the next level in delivering a complete edge-native platform, which is needed to enable infrastructure, applications and efficient AI deployments at scale. Our modular platform is exactly that, driving optimal edge infrastructure performance and streamlining application management for enterprises, giving them both improved competitiveness and improved total cost of ownership.” –Pallavi Mahajan, Intel corporate vice president and general manager of Network and Edge Group Software

The platform is built with an open, modular architecture that allows for easy integration with existing systems. It includes the OpenVINO AI inference engine, which is designed to optimize AI workloads on Intel hardware. The platform also focuses on secure automation to simplify tasks for both IT and operational technology teams.

AI applications

One of the key features of Intel’s platform is a centralized dashboard that allows for the management of edge nodes and devices. This centralization streamlines control, enhances security, and simplifies the deployment and maintenance of edge infrastructure. To enhance operations, the platform utilizes closed-loop automation, which improves performance and reduces the total cost of ownership (TCO). This type of automation streamlines routine tasks, enabling organizations to focus their resources on strategic business goals.

Security is a top priority in today’s digital environment, and Intel’s Edge Platform is designed with this in mind. It combines deep hardware expertise with zero-trust security principles to protect data and applications. The platform also includes tools for orchestrating applications and developing AI models, ensuring that they perform optimally on Intel’s architecture.

Intel’s Edge Platform is not just a technological breakthrough; it offers a strategic advantage for organizations looking to scale their AI applications. With its focus on operational simplicity, adaptability for various use cases, and robust security, the platform is poised to become a key component of edge computing. As companies navigate the complexities of digital transformation, Intel’s Edge Platform provides a valuable tool for moving forward in an AI-driven world. For more information jump over to the official Intel newsroom.

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ASUS IoT Edge AI computers and motherboards

ASUS IoT Edge AI computers and motherboards

ASUS IoT has recently unveiled an impressive update to their industrial computing products, introducing a series of advanced industrial motherboards and edge AI computers. These new offerings are engineered to harness the power of the latest 14th generation Intel Core processors, which are specifically designed to handle the rigorous demands of industrial operations. The goal of these products is to provide users with enhanced performance, greater energy efficiency, and improved connectivity options to meet the evolving needs of industrial applications.

At the heart of these new ASUS IoT products is the integration of the 14th generation Intel Core processors. These processors are built to offer a solid and reliable platform for critical industrial tasks, ensuring that operations run smoothly and efficiently. The inclusion of these processors means that ASUS IoT’s latest products are capable of delivering a significant boost in computing performance, which is crucial for industries that rely on fast and accurate data processing.

ASUS IoT

To complement the new processors, ASUS IoT has also embraced DDR5 memory technology. This latest memory standard offers a 50% increase in transfer speeds compared to DDR4, as well as an 8% improvement in power efficiency. The adoption of DDR5 means that industries can benefit from faster data processing and lower energy costs, which are key factors for any business looking to improve its operational efficiency and reduce overhead.

Another important feature of these new products is the support for PCIe 5.0. This technology doubles the data transfer rates offered by the previous generation, PCIe 4.0. By including PCIe 5.0 support, ASUS IoT ensures that their systems are prepared for future upgrades, whether it’s adding more storage capacity or enhancing graphics performance. This forward-thinking approach is essential for keeping pace with the rapidly changing requirements of industrial applications.

Edge AI Computers

For industrial tasks that require high-quality visuals, ASUS IoT has integrated Intel UHD Graphics technology into their products. This allows for the management of 8K60 HDR video and the operation of multiple 4K60 displays simultaneously. High-resolution visual capabilities are increasingly important in industrial settings where clear and precise monitoring and control are necessary for effective operation.

Security is a top priority in industrial environments, and ASUS IoT has taken significant steps to strengthen the security features of their new products. In partnership with Intel, they have implemented a suite of security measures, including Boot Guard, Platform Trust Technology, AES-NI, and VT. These features are designed to protect systems from various threats and ensure a secure operating environment.

Support for Wi-Fi 7

Connectivity is also a key focus, with the introduction of Wi-Fi 7 support, which can achieve speeds of up to 5 Gbps. This is particularly beneficial in industries where fast and reliable data transfer and communication are critical.

ASUS IoT recognizes that the industrial sector has a wide range of needs, and as such, they offer their products in various form factors. These include ATX, micro ATX, Mini-ITX, and thin Mini-ITX, providing options for different space requirements and configurations. This variety ensures that there is a suitable motherboard or AI computer for every industrial application, no matter the specific needs of the operation.

For industries looking to incorporate advanced AI capabilities, ASUS IoT’s PE4000G and PE6000G edge AI computers are excellent options. These devices are designed to support sophisticated AI applications, enabling industries to leverage machine learning and data analytics for smarter decision-making and increased automation.

The latest industrial motherboards and edge AI computers from ASUS IoT represent a significant step forward in industrial computing. With the incorporation of cutting-edge Intel Core processors, DDR5 memory, PCIe 5.0, and Wi-Fi 7, these products are not just keeping up with technological progress—they are leading the charge. They are well-equipped to address the challenges faced by modern industries, whether it involves upgrading existing systems or building new infrastructures. With ASUS IoT’s new solutions, industries can confidently move forward, knowing they have the technology to support their operations now and in the future.

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EdgeCortix flagship SAKURA-I Chip for Edge AI applications

EdgeCortix flagship SAKURA-I Chip showcased

At the prestigious Singapore Airshow 2024, EdgeCortix, a leading Japanese semiconductor company, is set to unveil a new chip that is expected to transform the way artificial intelligence (AI) is processed in the defense and aerospace sectors. The SAKURA-I chip, a specialized co-processor, is designed to handle AI tasks right at the edge of the network, where data is generated and collected. This innovation is particularly important for applications that require immediate decision-making, such as those found in aviation and military operations.

The airshow, scheduled for February 20-25, will serve as the platform for EdgeCortix to introduce this new technology to the world. Visitors to the event will be able to see the SAKURA-I chip in action at the booth of the Acquisitions, Technology and Logistics Agency (ATLA), which represents Japan’s commitment to advancing its air and defense technologies.

EdgeCortix SAKURA-I

The SAKURA-I chip stands out for its ability to process complex AI tasks with high efficiency and low latency. This is crucial in environments where quick responses are essential and power resources are often limited. The chip’s debut is timely, as there is a growing need for technologies that can operate effectively under these constraints.

“EdgeCortix’s SAKURA-I chip, with its small form factor and high efficiency, is proving a crucial tool in edge computing in defense and aerospace sectors, which EdgeCortix predicts will increasingly rely on software-driven hardware solutions to achieve their tasks going forward,” says Sakyasingha Dasgupta, CEO and Founder of EdgeCortix. “We are honored to be featured in ATLA’s booth representing Japanese innovation at the Singapore Airshow and are proud to stand shoulder-to-shoulder with such elite companies at the show.”

AI is becoming increasingly important in enhancing safety and efficiency across various industries, including transportation and defense. The SAKURA-I chip is designed to meet the demanding needs of these sectors, providing performance improvements that can help prevent accidents, optimize logistics, and ensure secure operations in sensitive areas.

Edge computing, which involves processing data close to where it is generated, is changing the landscape of defense and aerospace. Innovations like the SAKURA-I chip are at the forefront of this shift, enabling faster and more reliable decision-making in situations where time is of the essence.

The Singapore Airshow 2024 is more than just an exhibition; it is a demonstration of Japan’s technological advancements in defense equipment and technology. The partnership between ATLA and EdgeCortix highlights the role of collaboration between the public and private sectors in achieving technological breakthroughs. The SAKURA-I chip exemplifies such progress and is expected to establish new standards in the industry.

EdgeCortix’s participation in the Singapore Airshow 2024 emphasizes the company’s position as a leader in semiconductor technology and its significant contributions to the evolution of AI processing. The SAKURA-I chip marks a step towards more energy-efficient, software-driven hardware solutions in the fields of defense and aerospace. Attendees are encouraged to witness this state-of-the-art technology at the ATLA booth, where Japan’s expertise in air and defense technology will be on full display.

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NVIDIA Ada Lovelace AI Edge Aetina MXM GPUs

NVIDIA Ada Lovelace AI Edge MXM GPUs

Aetina has made a significant stride with the introduction of their new MXM GPUs, which are built on the powerful NVIDIA Ada Lovelace architecture. This latest development is poised to transform the capabilities of edge AI, offering a robust solution for industries that demand high-performance computing, such as smart healthcare, autonomous vehicles, intelligent manufacturing, and commercial gaming.

The NVIDIA Ada Lovelace architecture is at the heart of Aetina’s new GPUs, providing them with the muscle to manage demanding tasks like real-time ray tracing and AI-driven neural graphics. These features are not just for show; they are essential in creating realistic gaming environments and speeding up professional graphics work. As AI technologies continue to evolve at a breakneck pace, the need for powerful GPUs is becoming more apparent. Aetina has responded to this demand with modules that are not only compact but also pack a serious punch.

AI Edge Aetina MXM GPUs

Take the MX5000A-WP, for example, which is the flagship model of Aetina’s new lineup. It’s equipped with a staggering 9,728 CUDA cores, 76 RT cores, and 304 Tensor cores. It also features a PCIe 4.0 interface and comes with 16 GB of GDDR6 memory. These specifications make it a powerhouse capable of handling complex AI tasks with ease. But it’s not just about raw power; energy efficiency is also a key consideration, especially for edge AI applications where power availability can be limited. The MX5000A-WP has an impressively low power consumption of just 115 watts, making it a smart choice for energy-conscious deployments.

Performance is one thing, but reliability is another critical factor, especially when deploying technology in challenging environments. Aetina has taken this into account by incorporating several durability features into their GPUs. These include a conformal coating that provides environmental protection, ECC memory that ensures data integrity, and a five-year support guarantee. These features demonstrate Aetina’s commitment to delivering consistent performance, even under harsh conditions.

The introduction of Aetina’s new MXM GPUs is set to have a significant impact on the edge AI industry. With their advanced graphics and AI capabilities, space-efficient design, energy-saving operation, and solid durability, these GPUs are well-equipped to drive the next wave of intelligent applications across various fields. As industries continue to seek out powerful computing solutions that can keep up with the rapid advancements in AI, Aetina’s GPUs stand ready to meet the challenge.

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