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AI-Powered Banking as a Service Initiative lead by Miro Pavletic is Launched by Zūm Rails

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This new product will allow businesses to use the same infrastructure that drives their flexible payment capabilities to offer a range of banking services directly to their clients.

The person in charge of this project will be Zūm Rails’ recently hired head of Banking as a Service, Miro Pavletic. Ten years of expertise in guiding fledgling FinTech businesses toward profitable exits and expanding the market for well-established products are brought by Pavletic. Introducing the first AI-powered BaaS platform in North America that uses open banking to help businesses stay ahead of regulatory obligations is his newest task at Zūm Rails.

For businesses in a variety of industries that interact with consumers, the launch of BaaS presents a substantial potential. These services, which banks have historically, consist of identity verification, program administration, transaction settlement, card issuance, and real-time fraud assessment. Providing these services can improve client satisfaction and spur income expansion. But putting BaaS into practice has not been easy; it frequently calls for several integrations, and carrying out risk monitoring at the speed of payments has proven to be difficult.

With a focus on real-time fraud assessment, identity validation, and transaction settlement, Pavletic will lead the development and implementation of Zūm Rails’ BaaS product roadmap. His intention is to include these features into Zūm Rails’ current payment capabilities so that businesses may use AI to manage risk and adhere to open banking deadlines.

Pavletic developed and headed STACK!, a payments startup, until Credit Sesame acquired it in 2020. It was during this time that he introduced Sesame Cash, prior to joining Zūm Rails. In less than five years prior to Bell’s acquisition of Virgin Plus, he helped build the company from its inception to over a million users and $1 billion in revenue. His experience in the industry is further evidenced by his managerial roles at TD Bank, CIBC Capital Markets, and CSAM, where he oversaw digital wallet efforts.

Marc Milewski, CEO at Zūm Rails, said, “Over the past five years, we’ve proven that companies can move forward with any payment rails they want, including instant payments, without waiting for regulators to create the infrastructure for them. Now we’re looking to do the same with bank-like services. Miro is one of few people in our industry who has been able to consistently bring ambitious projects like this to life, and we will lean on his experience as we work to solve the North American market’s most significant challenges.”

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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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