Category: intelligence

Microsoft hopes that 2024 will be the “Year of the AI ​​​​PC” and will make major changes to the keyboards of laptops and desktops, adding a new Copilot key to kick off the year.

PC manufacturers and accessory manufacturers working with Microsoft will next equip new laptops and desktops with a new Copilot key, which can quickly use AI-driven Copilot by pressing the key, and provide a chatbot similar to ChatGPT, which can communicate and interact in a conversational manner, and even perform more operations within the Windows system, which is a major change in the layout of Windows PC keyboards in nearly 30 years.
The new Copilot key will replace the menu key (or application key) that was introduced to PC keyboards with the Windows key decades ago. Its location is mostly next to the Alt key on the right, and the specific location may vary depending on PC manufacturers and markets.

“Nearly 30 years ago, we introduced the Windows key on PC keyboards to enable people around the world to interact with Windows,” said Yusuf Mehdi, chief marketing officer of Microsoft Consumer Group. “We see this as another step in the Windows journey. At this transformative moment, Copilot will be the entry point into the world of AI PCs.“
If some countries and regions have not yet enabled Windows Copilot, the Copilot key will instead activate the Windows search function. The existing Windows key can open the Start menu, or form shortcuts with other keys for different functions. As for the Copilot key, it is currently only used as a launch key for the Copilot function, and it is not clear whether Microsoft will pair this key with other keys.

The US Consumer Electronics Show (CES 2024) will open on January 10, and PC manufacturers working with Microsoft will showcase new machines on site. By then, many new Windows 11 machines will be able to see the Copilot key, which will meet the consumer public as early as later this month. Microsoft even announced that the upcoming new Surface machine will also have a Copilot key.
Microsoft has been working hard to integrate Copilot into everything in 2023, and this new Copilot key can be said to be the first step in a larger-scale AI transformation of Windows in 2024.

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If generative artificial intelligence is allowed to generate profits by learning — without permission — literary works and designs that people made efforts to produce, then everyone will lose their motivation to create, and culture will only fall into ruin.
The government should implement legal measures to protect intellectual property from  A.I. 

The Cabinet Office’s expert panel on intellectual property rights in the  AI ​​era, chaired by Toshiya Watanabe, a vice president of the University of Tokyo, has released a draft outline of an interim report. The government intends to reflect the interim report, which will be compiled soon, in its plan to promote measures on intellectual property.
The draft outline states that AI learning of intellectual property does not fall under the protection of the Trademark Law or the Design Law, which require the protection of product names and designs. The draft therefore does not call for restrictions on such AI training.

The rationale appears to be that no profits are generated for  AI developers in the AI ​​training stage — but learning by AI involves the process of turning works into usable data, and the content of the data is directly related to the products created as a result.
The thinking by the expert panel that there is no need to protect intellectual property in the AI ​​training stage is too one-sided.
For example, the Design Law, which protects automobile and other designs, prohibits the imitation of designs for a certain period of time in order to ensure economic benefits for the designs’ creators.
Usually, if another person or party imitates a design, it is a single case of infringement of the creator’s rights. However, if AI learns the design, the rights infringement is far more serious as there can be multiple cases of   AI users utilizing the imitated design without being aware of the infringement.

The government revised the Copyright Law in 2018 to allow AI to learn about art, news articles and other copyrighted works without restrictions.

Last year, the Japan Newspaper Publishers and Editors Association issued a statement saying that   AI  developers and service providers have gotten a free ride on costly and labor-intensive news content. Regarding this matter, the draft outline states that the efforts people put into their creative work is not subject to copyright law protection.
However, intellectual works cannot be created without human effort. In 2005, the Intellectual Property High Court ordered a company that had used Yomiuri Shimbun headlines without permission for its online news distribution service to pay compensation. The court ruled that the headlines were the result of great effort and expense and that they therefore deserve legal protection.

Basically, expert panels of the Cabinet Office are tasked with synthesizing overall views about measures. If the panel on intellectual property believes   AI  training somehow falls outside the protection of the current laws, it would make sense to propose a new legal system to protect intellectual property from AI.
It is said that in Western countries that have increasingly introduced AI laws and regulations, Japan is cynically called a paradise for machine learning. Isn’t the Japanese government ashamed of this?

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Might be good for data centers, but unlikely to find application in electric vehicles anytime soon. Japanese battery maker FDK believes major improvements to its nickel-zinc batteries have proven they are durable enough for their use as uninterruptible power supplies (UPS).

The batteries, which debuted in March, have undergone long-term testing and are said to have proven they retain 70% of their capacity after 800 charge-discharge cycles, twice the standard lifespan of lead-acid batteries, FDK said.
The batteries were also put through a test in which they were placed in an outdoor cabinet at temperatures that fluctuated between 0°C in winter and 50°C in summer. FDK said the test cells continued to operate safely while maintaining their initial capacity.

In addition to having a longer life cycle and withstanding larger temperature fluctuations, the Fujitsu-backed company says nickel-zinc batteries are lighter and have a lower environmental impact than the lead-acid batteries traditionally used in UPSs. However, we’re told they charge similarly. The battery maker is so confident in the product that it has pledged to upgrade facilities, expand sample shipments to customers and consider mass production.

Like other nickel-zinc batteries, FDK’s ZR-4/3FAUP is essentially a hydride battery with the negative electrode material replaced with a zinc compound, a change that creates a different chemistry than nickel-zinc batteries. These types of batteries combine a nickel- metal hydride positive electrode with a zinc negative electrode found in alkaline batteries. In the past, poor cycle life hindered the use of nickel-zinc batteries. Zinc tends to migrate and cause nasty dendrite growth, which is inconvenient because it creates a short circuit. But recent developments in energy storage technology—such as the use of additives in the anode and electrolyte, as well as improvements in separator design—have made this less of an issue in modern nickel-zinc batteries.
The advantage of nickel-zinc batteries is power density and their mass is twice that of lead-acid batteries. This means they can provide the fast charging needed for equipment such as UPSs in data centers and other situations where the need for fast charging outweighs considerations for equipment longevity.

“Nickel-zinc batteries are one of the most promising batteries for stationary applications. They use a water-based electrolyte (alkaline batteries) and are more cost-effective compared to lithium-ion batteries and certainly much better than lead-acid batteries in terms of energy density .” Dr. Richard Yazami, the inventor of the graphite anode, told The Register.
“Nickel-zinc batteries may find a niche market, especially in backup and energy storage systems. However, their use in electric vehicles remains uncertain,” Yazami added.
The energy density of nickel-zinc batteries is not close to that of lithium-ion batteries, which means they are unlikely to become the battery of choice for electric vehicles anytime soon.

While FDK said batteries could replace power supplies, the company didn’t mention use in servers, but more resilient options are rarely popular

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AI is redefining digital transformation for every industry, including telecommunications. Every operator’s AI journey will be distinct. But each AI journey requires cloud-native transformation, which provides the foundation for any organization to harness the full potential of AI, driving innovation, efficiency and business value.

This new era of AI will create incredible economic growth and represent a profound shift as a percentage impact on global GDP, which is just over $100 trillion. So, when we look at the potential value driven by this next generation of AI technology, we may see a boost to global GDP of an additional $7 trillion to $10 trillion.

Embracing AI will help operators unlock new revenue streams, deliver superior customer experiences and pioneer future innovations for growth.

The AI-powered future cloud for telecommunications
Operators can now leverage cloud services that are adaptive, purpose-built for telecommunications and span from near edge on-premises environments to the far edges of Earth and space to monetize investments, modernize networks, elevate customer experiences and streamline business operations with AI.

Our aim is to be the most trusted co-innovation partner for the telecommunications industry. We want to help accelerate telco transformation and empower operators to succeed in the era of AI, which is why we are committed to working with operators, enterprises and developers on the future cloud.

At MWC in Barcelona this week, we are announcing updates to our Azure for Operators portfolio to help operators seize the opportunity ahead in a cloud- and AI-native future.

Monetize investments and unlock innovation for customers
AI opens new growth opportunities for operators. The biggest potential is that operators, as they embrace this new era of cloud and AI, can also help their customers in their own transformation.

For example, spam calls and malicious activities are a well-known menace and are growing exponentially, and often impact the most vulnerable members of society. Besides the annoyance, the direct cost of those calls adds up. For example, in the United States, FTC data for 2023 shows $850 million in reported fraud losses stemming from scam calls.

Today, we are announcing the public preview of Azure Operator Call Protection, a new service that uses AI to help protect consumers from scam calls. The service uses real-time analysis of voice content, alerting consumers who opt into the service when there is suspicious in-call activity. Azure Operator Call Protection works on any endpoint, mobile or landline, and it works entirely through the network without needing any app installation.

In the U.K., BT Group is trialing Azure Operator Call Protection to identify, educate and protect their customers from potential fraud, making it harder for bad actors to take advantage of their customers.

We are also announcing the public preview of Azure Programmable Connectivity (APC), which provides a unified, standard interface across operators’ networks. APC provides seamless access to Open Gateway for developers to create cloud and edge-native applications that interact with the intelligence of the network. APC also empowers operators to commercialize their network APIs and simplifies their access for developers and is available in the Azure Marketplace.

Run AI-driven networks on a carrier-grade, hybrid cloud platform
AI opens incredible opportunities to modernize network operations, providing new levels of real-time insights, intelligence and automation. Operators, such as Three UK, are already using Azure Operator Insights to eliminate data silos and deliver actionable business insights by enabling the collection and analysis of massive quantities of network data gathered from complex multi-vendor network functions. Designed for operator-specific workloads, operators tackle complex scenarios with Azure Operator Insights, such as understanding the health of their networks and the quality of their subscribers’ experiences.

Azure Operator Insights uses a modern data mesh architecture for dividing complex domains into manageable sub-domains called data products. These data products integrate large datasets from different sources and vendors to provide data visibility from disaggregated networks for comprehensive analytical and business insights. Using this data product factory capability, operators, network equipment providers and solution integrators can create unique data products for one customer or published to the Azure Marketplace for many customers to use.

rk issues quickly and accurately, ultimately improving customer satisfaction.

Copilot in Azure Operator Insights is delivering AI-infused insights to drive network efficiency for customers like Three UK and participating partners including Amdocs, Accenture and BMC Remedy. Three UK is using Copilot in Azure Operator Insights to unlock actionable intelligence on network health and customer experience quality of service, a process that previously took weeks or months to assess, is now possible to perform in minutes.

Additionally, with our next-generation hybrid cloud platform, Azure Operator Nexus, we offer the ability to future-proof the network to support mission-critical workloads, and power new revenue-generating services and applications. This immense opportunity is what drives operators to modernize their networks with Azure Operator Nexus, a carrier-grade, hybrid cloud platform and AI-powered automation and insights — unlocking improved efficiency, scalability and reliability. Purpose-built for and validated by tier one operators to run mission-critical workloads, Azure Operator Nexus enables operators to run workloads on-premises or on Azure, where they can seamlessly deploy, manage, secure and monitor everything — from the bare metal to the tenant.

E& UAE is taking advantage of the Azure Operator Nexus platform to lower total cost of ownership (TCO), leverage the power of AI to simplify operations, improve time to market and focus on their core competencies. And operations at AT&T that took months with previous generations of technology now take weeks to complete with Azure Operator Nexus.

We continue to build robust capabilities into Azure Operator Nexus, including new deployment options giving operators the flexibility to use one carrier-grade platform to deliver innovative solutions on near-edge, far-edge and enterprise edge.

Read more about the latest Azure for Operator updates here.

Accelerate business transformation with AI
Operators are creating differentiation by collaborating with us to improve customer experiences and streamline their business operations with AI. Operators are leveraging Microsoft’s copilot stack and copilot experiences across our core products and services, such as Microsoft Copilot, Microsoft Copilot for M365 and Microsoft Security Copilot to drive productivity and improve customer experiences.

Last year AT&T launched Ask AT&T, a generative AI tool designed to help employees be more effective, creative and innovative. An early use case for Ask AT&T was to enable software developers to write and refine code — in many cases, AT&T is seeing a 25-50% productivity gain for their developers. Since its launch, the company has identified many other use cases for the solution. Today, approximately 68,000 employees have access to Ask AT&T and are using it for anything from vulnerability remediation in IT to analysis of the vast data flows the company manages on its network. The company is currently training Ask AT&T on contracts and financial materials to assist with HR questions and making our care representatives even more effective at supporting our customers.

Teams at Lumen use Copilot to surface relevant policies, summarize tickets and easily find repair instructions from manuals. They can quickly create presentations, new business proposals and statements of work. Giving their workforce the digital tools they need to deliver dramatically improved customer experiences with greater ease is an essential part of the company’s transformation.

Telefónica evolves Kernel, its digital framework for the creation of advanced services, to the next level by adding new Microsoft Azure AI services to power every relevant use case with generative AI capabilities at scale. New Kernel 2.0 integrates all the digital services from the Telefónica Group to enable private-first, secure and standardized access to data and APIs, providing a foundation for value-added services that can be developed faster and with higher customer impact.

Indonesian-based Telkomsel introduced Veronika — a virtual assistant that integrates Microsoft Azure OpenAI Service. Veronika is rooted in natural language processing and machine learning, and recommends telco packages based on customers’ needs, and it can quickly and accurately address customer concerns. Since deploying Veronika, Telkomsel has been able to address rising call volumes without increasing agents. They have seen a significant drop in call volumes for their agents who are now handling 1,000 calls a day (down from 8,000 previously) and can now focus on increased cross-selling.

To increase customer satisfaction, Vodafone will apply the power of Microsoft Azure OpenAI to deliver frictionless, real-time, proactive and hyper-personalized experiences across all Vodafone customer touchpoints, including its digital assistant TOBi (available in 13 countries). Vodafone employees will also be able to leverage the AI capabilities of Microsoft Copilot to trans

Today, we are also announcing the limited preview of Copilot in Azure Operator Insights, a groundbreaking, operator-focused, generative AI capability helping operators move from reactive to proactive and predictive in tangible ways. Engineers use the Copilot to interact with network insights using natural language and receive simple explanations of what the data means and possible actions to take, resolving netwo

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A few minutes ago, I opened the new Arc Search app and typed, “What happened in the Chiefs game?” That game, the AFC Championship, had just wrapped up. Normally, I’d Google it, click on a few links, and read about the game that way. But in Arc Search, I typed the query and tapped the “Browse for me” button instead.

Arc Search, the new iOS app from The Browser Company, which has been working on a browser called Arc for the last few years, went to work. It scoured the web — reading six pages, it told me, from Twitter to The Guardian to USA Today — and returned a bunch of information a few seconds later. I got the headline: Chiefs win. I got the final score, the key play, a “notable event” that also just said the Chiefs won, a note about Travis Kelce and Taylor Swift, a bunch of related links, and some more bullet points about the game.

Basically, instead of returning a bunch of search queries about the Chiefs game, Arc Search built me ​​a webpage about it. And somewhere in there is The Browser Company’s big idea about the future of web browsers — that a browser, a search engine, an AI chatbot, and a website aren’t different things. They’re all just parts of an internet information finder, and they might as well exist inside the same app.Arc Search is part of a bigger shift for the Arc browser, too. The company’s mobile app has, until now, been mostly a companion app to the desktop, a way to access your open tabs and not much else. With Arc starting to roll out to Windows users, The Browser Company is also getting ready to roll out its own cross-platform syncing system, called Arc Anywhere, and to bring some of these AI-powered features to Arc on other platforms. (Eventually, CEO Josh Miller says, Arc Search will just be called Arc and will be the company’s only mobile app.)

The “Browse for me” feature isn’t perfect, but it’s pretty impressive. When I search “What’s Pete Davidson up to?” for instance, it gives me some broad-strokes information about his recent film and breakup news (very useful! ), links to his Wikipedia page, and a couple of news sites’ tag pages for Pete Davidson (meh), and then a bunch of information about his recent personal and professional goings-on. Like many AI tools, Arc Search isn’t great at citing its sources, so I can’t completely trust that Davidson and Chase Sui Wonders actually broke up, but there is a “Dive Deeper” section at the bottom with a bunch of links. Most of those links are the same generic stuff , like a “Pete Davidson’s net worth” webpage that I’m confident isn’t right, but there’s good stuff here, too.

The system has improved a lot even in the time I’ve been testing the app, and Miller says there’s plenty more room for Arc Search to get smarter. (The underlying AI models come from a mix of OpenAI and others.) Arc has been deeply invested in AI for a while, and some of its Arc Max features have been a hit with users. As the whole industry of generative AI tools improves, so will Arc.I like Arc Search as a browser, too — it’s simple and fast and always opens to an empty search box, which feels right on mobile. But it does put The Browser Company in the middle of a lot of complicated AI discussions. Will the company work with the publishers whose information it’s using to populate these answers?

How will Arc’s AI cite its sources? How personalized should these things be? How personalized can they be? A search like this is bound to be expensive; will Arc Search be a paid product over time? The company hasn’t shared much about its plans on these fronts yet, but there are a lot of questions to be answered.

But from a pure product perspective, this feels closer to the way AI search should work than anything I’ve tried. Products like Copilot and Perplexity AI are cool, but they’re fundamentally just chatbots with web access. Arc Search imagines something else entirely : AI that explores websites by building you a new one every time you ask.

Next week, millions of people will start typing the internet’s favorite question: “What time does the Super Bowl start?” I already know because I clicked “Browse for me,” and I also now know where the game is, how to watch it , and to be sure to clear my schedule for Usher at halftime. That’s a pretty good search result.

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NTT Docomo said that technologies such as extreme-high-speed transmissions over 100Gbps, together with AI, will be deployed to meet the advanced requirements of future 6G systemsJapanese telco NTT Docomo plans to unveil a number of new technologies for 5G’s evolution, 6G and generative AI during the Docomo Open House’24, which will be held in Tokyo this week.

The operator said in a release that technologies such as extreme-high-speed transmissions over 100 Gbps, together with AI, will be deployed to meet the advanced requirements of future 6G systems. As one example, Docomo says it will launch new communication infrastructure to harness sub-terahertz bandwidths for the integration of physical space and cyberspace.

The Japanese telco also said that it will present a technology dubbed “Feel Tech” for sharing sensory perceptions via human-augmentation platform. According to NTT Docomo, Feel Tech is the world’s first technology for sharing taste sensations between individuals via Docomo’s human-augmentation mobile platform. It is expected to be used in the metaverse, as well as in movies and animations, to incorporate taste “expressions” into extra-rich content that people will experience with an immersive sense of presence.

In the future, networks incorporating high-altitude platform stations (HAPS) will support disaster communications, ship and drone connectivity and communications in mountainous and remote areas, Docomo said. The exhibit will showcase the latest technologies for non-terrestrial network (NTN) HAPS and underwater drones for mobile coverage beyond the reach of conventional terrestrial network areas, from remote seas to low-orbit space, the telco added.

Docomo will also unveil next-generation cloud slicing and a 5G core on AWS to meet specific network needs. The telco explained that this solution combines end-to-end orchestration, QoS visualization and monitoring and 5G core from AWS to deliver flexible network quality for specific locations and time scenarios. By integrating the cloud, energy efficiency and on-demand network quality, the solution will help realize highly sustainable networks.

Docomo said that the adoption of 5G in the industrial sector is still limited, adding that more extensive 5G implementation in the industrial world will require comprehensive analysis and multi-dimensional verification that can address diverse mobile needs and environments. “Docomo has developed an advanced yet portable simulator that makes it easy to visualize 5G wireless transmission characteristics and electromagnetic interference effects in each customer’s unique industrial setting,” the telco said.
“The world-first technology from Docomo uses generative AI to create non-player characters in the metaverse. The innovative technology, which automatically generates each character’s appearance, behavior and role to eliminate the need for experts with specialized know-how, will help realize more enriched metaverse experiences in the future,” the telco added.

In November 2023, Nokia announced that NTT Docomo was deploying the former’s Open RAN (O-RAN) compliant 5G AirScale baseband solution, including centralized unit (CU) and distributed unit (DU) software, in its commercial network nationwide.
Nokia said that this solution will enable NTT Docomo to pursue a multi-supplier strategy, giving the Japanese telco the option to connect with Open Radio Units (RU) delivered by other suppliers.

Nokia also said it will deploy its fully O-RAN-compliant 5G AirScale baseband solution in Docomo’s commercial network

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Google has been the dominant search engine since the early 2000s, but Jeff Bezos is betting that AI will change the way people find information on the internet. Bezos invested millions in Perplexity AI last week, a startup that hopes to revolutionize search with AI-generated answers and make Google a thing of the past.

“Google is going to be viewed as something that’s legacy and old,” said Perplexity’s founder Aravind Srinivas to Reuters last week. “If you can directly answer somebody’s question, nobody needs those 10 blue links.”Perplexity AI is like ChatGPT had a baby with Google Search, and Jeff Bezos is paying for its college fund. Srinivas’ company approaches search differently from Google. Instead of a list of blue links, Perplexity answers your question in a straightforward paragraph answer, generated by AI, and includes hyperlinks to the websites it got the information from. Perplexity runs on leading large language models from OpenAI and Anthropic, but the company claims it’s better at delivering up-to-date, accurate information than ChatGPT or Claude.

Srinivas’ company has received more financial backing than any search startup in recent years, according to the Wall Street Journal. Search is a tough field that Google has had a chokehold on for the last two decades. However, several notable tech innovators invested in Perplexity , including Jeff Bezos and Nvidia in a $76 million funding round last week. Meta’s Chief Scientist Yann LeCun and OpenAI’s Andrej Karpathy invested in Perplexity earlier on.

Even Google itself believes AI-generated answers will be the future of search. The company launched Search Generative Experience (SGE) last summer, which will write out a quick answer summarizing top results in Google Search. However, Google hidden it away in “Search Labs,” a standalone app. Once Google puts this feature in Google Search, its crown jewel, then we’ll know it’s fully committed to AI as the future of search.

Perplexity overtaking Google is a long shot, but the vote of confidence from Amazon’s founder is aa plus. Roughly 10 million people use Perplexity AI to browse the internet every month, and it’s one of the first AI platforms to reach such a large audience. currently free to use, with a paid subscription tier for $20 a month. Srinivas says our culture stands “at the inflection point of a behavioral shift in how people access information online.” Perplexity massive’s service produces great results, but it has a tough road ahead to unseat Google.

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Sexual predators are using a powerful new tool to exploit children — AI image generators. Users on a single dark-web forum shared nearly 3,000 AI-generated images of child sexual abuse in just one month, according to a recent report from the UK- based Internet Watch Foundation.

Unfortunately, current child sexual abuse laws are outdated. They don’t adequately account for the unique dangers AI and other emerging technologies pose. Lawmakers must act fast to put legal protections in place.
The national CyberTipline — a reporting system for suspected online child exploitation — received a staggering 32 million reports in 2022, up from 21 million just two years prior. That already disturbing figure is sure to grow with the rise of image-generating AI platforms .  
AI platforms are “trained” on existing visual material. Sources used to create images of abuse may include real children’s faces taken from social media, or photographs of real-life exploitation. Given the tens of millions of abusive images online, there is an almost inexhaustible amount of source material from which AI can generate even more harmful images.

CLICK HERE FOR MORE FOX NEWS OPINIONThe most advanced AI-generated images are now virtually indistinguishable from unaltered photographs. Investigators have found new images of old victims, images of “de-aged” celebrities who are depicted as children in abuse scenarios, and “nudified ” images taken from otherwise benign photos of clothed children.

The scope of the problem is increasing every day. Text-to-image software can easily create images of child abuse based on whatever the criminal wants to see. And much of this technology is downloadable, so offenders can generate images off-line without fear of discovery.
Using AI to create pictures of child sex abuse is not a victimless crime. Behind every AI image, there are real children. Survivors of past exploitation are re-victimized when new portrayals are created using their likeness. And studies show that a majority of those who possess or distribute child sex abuse material also commit hands-on abuse.
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Adults can also use text-generating AI platforms like ChatGPT to better lure children, updating an old tactic. Criminals have long used fake online identities to meet young people in games or on social media, gain their trust and manipulate them into sending explicit images, then “sextort” them for money, more pictures, or physical acts.

But ChatGPT makes it shockingly easy to masquerade as a child or teen with youthful language. Today’s criminals can use AI platforms to generate realistic messages with the goal of manipulating a young person into engaging in an online interaction with

someone they think is their own age. Even more terrifying, many modern AI tools have the capacity to quickly “learn” — and therefore teach people — which grooming techniques are the most effective.President Biden recently signed an executive order geared at managing the risks of AI, including protecting Americans ‘ privacy and personal data. But we need help from legislators to tackle AI-assisted online child abuse.

For starters, we need to update the federal legal definition of child sexual abuse material to include AI-generated depictions. As the law currently stands, prosecutors must show harm to an actual child. But this requirement is out of step with today’s technology. A defense team could feasibly claim that AI child sexual abuse material is not depicting a real child and therefore isn’t harmful, even though we know that AI generated images often pull from source material that victimizes real children.

Second, we must adopt policies requiring tech companies to continuously monitor and report exploitative material. Some companies proactively scan for such images, but there’s no requirement that they do so. Only three companies were responsible for 98% of all CyberTips in 2020 and 2021: Facebook, Google, and Snapchat.

Many state child sex abuse laws identify “mandatory producer,” or professionals like teachers and doctors who are legally required to report suspected abuse. But in an era in which we live so much of our lives online, employees of social media and other tech companies ought to have similar legally mandated reporting responsibilities.

Finally, we need to rethink how we use end-to-end encryption, in which only the sender and receiver can access the content of a message or file. While it has valid applications, like banking or medical records, end-to-end encryption can also help people store and share child abuse images. To illustrate just how many abusers could go undetected, consider that out of the 29 million tips the CyberTipline received in 2021, just 160 came from Apple, which maintains end-to-end encryption for iMessages and iCloud.

Even if law enforcement has a warrant to access a perpetrator’s files, a tech company with end-to-end encryption can claim that it can’t access those files and can’t help. Surely an industry built on innovation is capable of developing solutions to protect our children — and making that a priority.AI technology and social media are evolving every day. If legislators act now, we can prevent wide-scale harm to kids.

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Dell has expanded its high-performance computing portfolio for AI workloads by adding an AMD-powered server, specifically designed to support large language models (LLMs). This new addition complements Dell’s existing Nvidia-powered options, offering customers more variety in their AI infrastructure choices.

The latest server has 8 AMD M1300X acceleratorsThe latest server, the Dell PowerEdge XE9680, is equipped with eight AMD Instinct MI300X accelerators. These accelerators are notable for their 1.5GB of high-bandwidth memory (HBM3) and their impressive performance capacity, exceeding 21 petaFLOPS. This makes them particularly suitable for businesses looking to train and operate their own in-house LLMs.

DellOne of the key features of the new Dell offering is its scalability. Customers can scale the systems they deploy using the global memory interconnect (xGMI) standard. Additionally, AMD’s GPUs can be connected over an Ethernet-based AI fabric with a Dell PowerSwitch Z9664F -ON. This release follows Dell’s earlier launch of a unit fitted with Nvidia H100 GPUs.

Another significant aspect of Dell’s strategy is the introduction of a new standard called Dell Validated Design for Generative AI with AMD. This standard provides a framework for organizations to run their own hardware and networking architecture for LLMs. It emphasizes the use of AMD ROCm powered AI frameworks, an open-source package including drivers, development toolkits, and APIs compatible with AMD Instinct accelerators. These frameworks support popular AI software like PyTorch, TensorFlow, and OpenAI Triton, all of which have native support on the PowerEdge XE9680 fitted with AMD accelerators .

Dell’s commitment to standards-based networking, as demonstrated by its membership in the Ultra Ethernet Consortium (UEC), signifies a departure from Nvidia’s approach. Unlike Nvidia, AMD and Dell advocate for an open Ethernet for AI, enabling interoperability of switches from different vendors within the same system.

Dell’s approach encourages businesses to adopt an open strategy encompassing computing, fabric, and storage components essential for powering in-house generative AI models.
The new hardware and services that constitute Dell’s latest push in AI are expected to be available in the first half of the next year. This development is part of Dell’s broader effort to provide versatile and powerful solutions for businesses engaging in generative AI and other advanced computing tasks.


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