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Zuckerberg meet Trump at White House later Capitol Hill gatherings

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Facebook CEO Mark Zuckerberg met with President Trump in the Oval Office on Thursday, that day Zuckerberg met various administrators on Capitol Hill. Zuckerberg’s outing to Washington D.C. comes as Congress has been discussing a security law.

Mr. Trump tweeted an image of the two, considering it a “nice meeting.” A spokesperson for Facebook said it was a “good, constructive meeting.”

This is Zuckerberg’s first open excursion to Washington D.C. since he affirmed before House and Senate boards in the spring. A representative for Senator Mike Lee of Utah said in an explanation that they talked about “number of topics including bias against conservatives on Facebook’s platform, government regulation of digital platforms, antitrust enforcement, Section 230 liability and data-privacy issues.”

Mr. Trump has relentlessly scrutinized online life organizations like Facebook, Google, Amazon and his foundation of decision, Twitter, grasping traditionalist pundits’ allegations that they blue pencil religious, hostile to fetus removal and politically preservationist sees. Mr. Trump has guaranteed, without proof, that the organizations are “against me” and even recommended U.S. controllers should sue them on grounds of hostile to traditionalist inclination.

Congressperson Josh Hawley of Missouri told journalists after his hourlong gathering with Zuckerberg that he said the organization needed to sell its informing administration WhatsApp and photograph sharing application Instagram to demonstrate it is not kidding about ensuring information protection. Facebook procured WhatsApp in 2014 and Instagram in 2012.

“The company talks a lot. I’d like to see some action,” they told reporters. “I will believe Facebook when I see some real action out of Facebook.”

As opposed to moving clients’ close to home information from properties, for example, WhatsApp and Instagram profoundly Facebook stage, the organization should put a divider around the administrations or, even better, auction them, Hawley said he told Zuckerberg.

Zuckerberg, who mentioned the gathering, “did not think that was a great idea,” they said.

A Facebook representative declined to remark on Hawley’s comments concerning his gathering with Zuckerberg.

The famous administrations WhatsApp and Instagram are among so

mewhere in the range of 70 organizations that Facebook has gained in the course of recent years or somewhere in the vicinity, giving it what pundits state is gigantic market control that has enabled it to snuff out challenge.

Zuckerberg’s discourse with Hawley addressed industry rivalry, information protection enactment, political decision security and allegations by moderates that Facebook and other web based life mammoths are one-sided against right-inclining content.

During his visit, Zuckerberg likewise met with different congresspersons including Senator Mark Warner of Virginia, bad habit executive of the Senate Intelligence Committee, Lee, a senior individual from the Judiciary Committee, and Senators John Cornyn of Texas and Tom Cotton of Arkansas. They additionally declined to address correspondents’ inquiries when he left Lee’s office before toward the evening.

Congress has been discussing a protection law that could pointedly get control over the capacity of organizations like Facebook, Google, Amazon and Apple to gather and make cash off clients’ close to home information. A national law, which would be the first of its sort in the U.S., could enable individuals to see or restrict utilization of their information.

Acting preemptively, Zuckerberg the previous spring called for more tightly guidelines to secure buyers’ information, control unsafe online substance and guarantee political race trustworthiness and information compactness. The web “needs new rules,” they said.

Facebook, an online networking mammoth situated in Menlo Park, California, with about 2.5 billion clients, is under substantial investigation from officials and controllers following a progression of security embarrassments and in the midst of allegations of maltreatment of its market capacity to squash rivalry.

The Justice Department, the Federal Trade Commission and the House Judiciary antitrust subcommittee are for the most part directing antitrust examinations of the enormous tech organizations, and a bipartisan gathering of state lawyers general has opened a challenge test explicitly of Facebook.

At Facebook’s solicitation, Warner sorted out a supper meeting in Washington on Wednesday night for Zuckerberg and a gathering of congresspersons.

Warner told The Associated Press he needed Zuckerberg to hear his Senate partners’ “enormous concerns about privacy and about protecting the integrity of our political system.”

Their message for the Facebook boss was “self-regulation is not going to be the answer,” Warner said. “I think Zuckerberg understood that.”

Warner and Hawley have proposed enactment that would compel the tech mammoths to tell clients what information they’re gathering and how much it’s value. The proposition goes to the core of Big Tech’s massively productive plan of action of trade in clients’ close to home information. The organizations accumulate tremendous information on what clients read and like, and influence it to enable sponsors to focus on their messages to people they need to reach.

The tech organizations see with specific caution a different authoritative proposition from Hawley that would expect them to demonstrate to controllers that they’re not utilizing political predisposition to channel content. Neglecting to verify a predisposition free review from the administration would mean an internet based life stage loses its long-held invulnerability from lawful activity.

Matthew Ronald grew up in Chicago. His mother is a preschool teacher, and his father is a cartoonist. After high school Matthew attended college where he majored in early-childhood education and child psychology. After college he worked with special needs children in schools. He then decided to go into publishing, before becoming a writer himself, something he always had an interest in. More than that, he published number of news articles as a freelance author on apstersmedia.com.

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AI-Enhanced Batteries: Unlocking 10% More Capacity and Extending Life by 25%

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Up to 25% more battery life can be obtained by using the AI-BMS-on-chip, which also “unlocks” an extra 10% of a battery’s capacity. It accomplishes this by accurately monitoring the battery’s State of Health (SoH) and State of Charge (SoC) to a far greater extent than is feasible with conventional BMS units.

Syntiant’s NDP120 Neural Decision Processor takes decisions to avoid failures, improve battery safety, and maximize performance by analyzing battery performance in real-time and using predictive diagnostics to spot possible problems early.

The NDP120 was made with ease of integration with consumer and business electronics BMS systems already in place. The AI-BMS-on-chip technology removes all connectivity, latency, and privacy concerns related to cloud-based systems by being included into the battery itself.

“The AI-BMS chip addresses the need for real-time, efficient battery management in various applications.” Declared Chief Business Officer of Syntiant Mallik Monturi. Performance, safety, and battery life are all improved. For everything from consumer electronics to commercial vehicles, this makes it ideal.”

The AI-BMS-on-chip has the potential to significantly improve the electric vehicle (EV) market, from vehicles to personal eVTOL planes. By increasing range and delaying the need for new batteries, it may also result in significant cost savings for customers. The technology’s predictive capabilities may also reduce the likelihood of battery failures at times, like when you’re 200 feet above the ground on your way home from work in your Jetson.

The maximum life of most current lithium-ion batteries is typically 500–1,000 charge cycles before the battery starts to deteriorate. This might be increased to 625–1,250 cycles using the AI BMS from Eatron Technologies. LiFePO4 batteries can withstand up to 5,000 charge cycles with a typical BMS, and they are becoming increasingly popular in off-grid and recreational vehicle applications. Potentially, the NDP120 might raise these numbers to an incredible 6,250+ cycles.

This week in Stuttgart, Germany, Eatron is showcasing its AI-BMS-on-chip technology at The Battery Show Europe 2024.

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OpenAI Founder Sutskever Launches a new Artificial Intelligence Business Focused on “safe Superintelligence”

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An unsuccessful attempt to remove OpenAI CEO Sam Altman was spearheaded by Ilya Sutskever, one of the company’s founders, who said he was launching a safety-focused AI startup.

The well-known AI researcher Sutskever, who quit the company that made ChatGPT last month, announced on social media on Wednesday that he and two co-founders had founded Safe Superintelligence Inc. Development of “superintelligence,” a term used to describe artificial intelligence systems that are more intelligent than people, is the company’s sole objective.

Work on safety and security will be “insulated from short-term commercial pressures,” according to the company’s business model, which Sutskever and his co-founders Daniel Gross and Daniel Levy said in a prepared statement. The company also pledged not to get sidetracked by “management overhead or product cycles.”

According to the three, Safe Superintelligence is an American business with headquarters in Tel Aviv and Palo Alto, California, “where we have deep roots and the ability to recruit top technical talent.”

Sutskever was part of a group that made an unsuccessful attempt last year to oust Altman. The boardroom shakeup, which Sutskever later said he regretted, also led to a period of internal turmoil centered on whether leaders at OpenAI were prioritizing business opportunities over AI safety.

Known as artificial general intelligence, or AGI, Sutskever co-led a team at OpenAI dedicated to securely creating AI that is superior to humans. He stated that he had intentions for a “very personally meaningful” project when he left OpenAI, but he gave no further information.

Sutskever declared that he made the decision to leave OpenAI

Days after his departure, his team co-leader Jan Leike also resigned and leveled at OpenAI for letting safety “take a backseat to shiny products.” OpenAI later announced the formation of a safety and security committee, but it’s been filled mainly with company insiders.

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New AI Solutions are Released by HPE and NVIDIA to Advance Generative AI

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In order to assist businesses in implementing generative AI more quickly, Hewlett Packard Enterprise (HPE) and NVIDIA unveiled “NVIDIA AI Computing by HPE,” a new suite of AI technologies.

Main Provided:

HPE Private Cloud AI: This is the first solution to combine HPE’s AI storage, compute, and HPE GreenLake cloud with NVIDIA AI processing, networking, and software. It supports companies of all sizes in creating and implementing AI solutions in an effective and sustainable manner. The solution comes in four versions to suit different AI workloads and incorporates OpsRamp AI copilot for improved IT operations.

Availability

With the help of channel partners like Deloitte, HCLTech, Infosys, TCS, and Wipro as well as the teams of both organizations, the new AI services and solutions would be made available.

The president and CEO of HPE, Antonio Neri, stated: “While fragmented AI technologies present risks, generative AI has the potential to transform enterprises.” Companies may concentrate on developing new AI applications to increase productivity and revenue with the aid of our new AI solutions.

A new industrial revolution is being propelled by faster computers and generative AI. Our thorough integration with HPE’s technology will provide businesses cutting-edge AI services and infrastructure. said Jensen Huang, CEO and founder of NVIDIA.

Attributes

HPE Private Cloud AI guarantees data protection, privacy, and governance while supporting a range of AI workloads. For more productivity, it provides a cloud experience with ITOps and AIOps. The system makes use of HPE AI Essentials software for AI and data foundation tools, as well as NVIDIA AI Enterprise software for data science pipelines and AI model deployment.

Technical Details:

The infrastructure consists of HPE ProLiant servers with NVIDIA GPUs and the NVIDIA GH200 NVL2 platform; NVIDIA Spectrum-XTM Ethernet networking; and HPE GreenLake for file storage.

Integration of OpsRamp with GreenLake Cloud:

With administration and observability tools, HPE Private Cloud AI offers a self-service cloud environment. Observability and AIOps are provided for the whole NVIDIA compute through the integration of OpsRamp with HPE GreenLake.

More Support for the Most Recent NVIDIA GPUs:

HPE ensures compatibility with future NVIDIA designs by adding support for the newest GPUs, CPUs, and Superchips from NVIDIA.

File Storage Certification:

With certification for NVIDIA DGX BasePOD and NVIDIA OVX systems, HPE GreenLake for File Storage offers a tried-and-true storage option for workloads that are heavy on AI and GPUs.

Global edge-to-cloud provider HPE assists businesses in gaining value from all of their data everywhere. With its solutions for cloud services, computers, artificial intelligence, and other areas, HPE improves business models and operational performance.

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