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AI-Powered Business Automation is Launched by UiPath and Microsoft

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Millions of Microsoft 365 users could benefit from AI-powered automation thanks to a new integration that UiPath has announced with Microsoft Copilot. In light of data stored in Microsoft 365 Graph, the release highlights joint clients’ capacity to leverage specialised AI models to automate operations within Microsoft Copilot and Teams.

By giving users the ability to automate business activities inside of Teams, this collaboration aims to increase productivity. Workers can use pre-built automations to perform repetitive activities by using the new UiPath plugin for Copilot. One of these responsibilities is to use AI models in the Microsoft 365 ecosystem for specialized activities like understanding documents.

According to UiPath’s Chief Product Officer, Graham Sheldon, “Our partnership with Microsoft incorporates UiPath automations, allowing millions of Microsoft users to potentially increase the automation capabilities of Microsoft Copilot by gaining access to GenAI and specialized AI models from UiPath.” Our goal with our end-to-end automation technology is to expedite human accomplishment.”

Among the initial ecosystem partners of Copilot for Microsoft Teams and Microsoft 365 is UiPath. Through Copilot for Microsoft 365 and Teams, the connection gives users immediate access to UiPath’s enterprise-grade automation features. The goal of this action is to employ automation and artificial intelligence to revolutionize digital workspaces and promote improved user experiences.

By using Microsoft 365 Graph as a knowledge base in conjunction with UiPath’s automation and document comprehension models, the alliance will allow users to automate end-to-end business processes. Tasks like managing email correspondence inside Teams and processing loan requests are examples of tasks that may now be carried out using basic commands.

According to Srini Raghavan, Vice President of Product, Microsoft Teams Ecosystem, “UiPath users can find and execute UiPath automations straight from Copilot for Microsoft 365 thanks to the integration between the UiPath Business Automation Platform and Microsoft Copilot.” These kinds of solutions, which use Microsoft Copilot to increase worker productivity and creativity, are essential to ushering in a new era of work.”

A pre-built automation library supports the integration’s goal of giving users the ability to automate routine and industry-specific processes. Incorporating AI into workplace productivity tools is a larger strategy that this program fits within. It addresses problems like worker burnout, which 58% of employees think can be reduced by automation driven by AI.

At booth FP46, UiPath demonstrated its Intelligent Document Processing and other platform features, and the announcement was made during the Microsoft Build 2024 conference. Those who attended the conference had the chance to observe directly how UiPath’s products can be incorporated into the Microsoft ecosystem to improve user experiences and increase productivity.

It is also mentioned that UiPath, which incorporates UiPath Automation Cloud, prefers Microsoft Azure as a cloud platform. The two organizations’ goal to creatively blend automation and artificial intelligence to satisfy the expanding needs of contemporary digital workplaces is demonstrated by this alliance.

It is anticipated that the integration of UiPath and Microsoft Copilot will redefine business automation, revolutionizing the way businesses use technology to improve productivity and create a more streamlined, team-oriented work 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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