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AI-Powered Features are Launched by Aspire to help Businesses in Asia

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The launch of “Aspire AI,” an improved suite of AI-powered capabilities intended to give organizations real-time analytics and optimize financial operations through more intelligent automation, has been announced by Aspire, the all-in-one finance platform in Asia.

With this launch, Aspire is demonstrating its dedication to enhancing business finance management products and fostering FinTech innovation.

Businesses around Asia will be able to take use of Aspire AI’s AI-powered solutions to unlock the potential hidden in their financial operations.

The objective is to simplify and streamline financial administration for businesses of all stripes operating in Asia. Aspire’s co-founder and CEO, Andrea Baronchelli, stated that the company’s launch of “Aspire AI” is a critical step in doing so. “AI remains a vital source of innovation, and through the application of these technological prowess, we can furnish firms with instantaneous financial perspectives, thereby enabling founders and entrepreneurs to make more adept and prompt business choices, in contrast to previous times when financial information might have taken several months to aggregate.”

Businesses can now get a bird’s-eye perspective of their finances and make data-driven choices in real-time with the help of the recently released “Aspire AI,” which features significant changes to the analytics dashboard. In addition, “clients may take advantage of automatic month-end closing, receipt matching within seconds, and expenses that code themselves, which greatly minimizes the amount of manual labor that finance teams must perform. Better security measures made possible by AI, such as automated card freezing at the first indication of fraudulent behavior or unusual activity, will also provide customers more peace of mind.”

A new OpenAI-powered product called “Aspire AI Assistant” will provide users with an easy-to-use chat-to-action interface for interacting with their financial data. It is now in beta. Real-time automation of financial procedures will be made easier by this text-to-command capabilities, which will improve operational efficiency and save time.

Aspire keeps streamlining intricate procedures and giving companies in Asia the smart financial management tools they require to thrive in a quickly changing business environment.

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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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