Artificial Intelligence
Next-Generation AMD EPYC™ CPUs and Radeon™ Instinct GPUs Enable El Capitan Supercomputer at Lawrence Livermore National Laboratory to Break 2 Exaflops Barrier
— Collaboration with HPE targets leadership HPC and AI processing performance starting in early 2023 —— El Capitan is set to be the second all AMD CPU and GPU exascale system in the U.S., and is expected to be more powerful than today’s 200 fastest supercomputers combined —SANTA CLARA, Calif., March 04, 2020 (GLOBE NEWSWIRE) — AMD (NASDAQ: AMD) today joined Lawrence Livermore National Laboratory (LLNL) and HPE, in announcing that El Capitan, the upcoming exascale class supercomputer at LLNL, will be powered by next generation AMD EPYC™ CPUs, AMD Radeon™ Instinct GPUs and open source AMD ROCm heterogeneous computing software. With delivery expected in early 2023, the El Capitan system is expected to be the world’s fastest supercomputer with more than 2 exaflops of double precision performance. This record setting performance will support National Nuclear Security Administration requirements for its primary mission of ensuring the safety, security and reliability of the nation’s nuclear stockpile.The AMD based nodes will be optimized to accelerate artificial intelligence (AI) and machine learning (ML) workloads to potentially enable the expanded use of AI and ML into the research, computational techniques and analysis that benefits NNSA missions.“El Capitan will drive unprecedented advancements in HPC and AI, powered by the next generation AMD EPYC CPUs and Radeon Instinct GPUs,” said Forrest Norrod, senior vice president and general manager, Datacenter and Embedded Systems Group, AMD. “Building on our strong foundation in high-performance computing and adding transformative coherency capabilities, AMD is enabling the NNSA Tri-Lab community—LLNL and the Los Alamos and Sandia national laboratories—to achieve their mission critical objectives and contribute new AI advancements to the industry. We are extremely proud to continue our exascale work with HPE and NNSA and look forward to the delivery of the most powerful supercomputer in the world expected in early 2023.”AMD Technology Powering El Capitan
AMD is applying its experience from the high-performance computing industry and advancing its existing CPU and GPU designs for El Capitan, enabling the system to be architected for maximum performance and ease of use.
AMD technology within El Capitan includes:Next generation AMD EPYC processors, codenamed “Genoa” featuring the “Zen 4” processor core. These processors will support next generation memory and I/O sub systems for AI and HPC workloads,Next generation Radeon Instinct GPUs based on a new compute-optimized architecture for workloads including HPC and AI. These GPUs will use the next- generation high bandwidth memory and are designed for optimum deep learning performance,The 3rd Gen AMD Infinity Architecture, which will provide a high-bandwidth, low latency connection between the four Radeon Instinct GPUs and one AMD EPYC CPU included in each node of El Capitan. As well, the 3rd Gen AMD Infinity Architecture includes unified memory across the CPU and GPU, easing programmer access to accelerated computing,An enhanced version of the open source ROCm heterogenous programming environment, being developed to tap into the combined performance of AMD CPUs and GPUs, unlocking maximum performance.“This unprecedented computing capability, powered by advanced CPU and GPU technology from AMD, will sustain America’s position on the global stage in high performance computing and provide an observable example of the commitment of the country to maintaining an unparalleled nuclear deterrent,” said LLNL Lab Director Bill Goldstein. “Today’s news provides a prime example of how government and industry can work together for the benefit of the entire nation.”
“We are pleased to partner with AMD to bring together HPE’s Cray Shasta architecture with latest AMD EPYC CPUs and Radeon Instinct GPUs and provide leadership technology in support of the mission critical HPC and AI workloads for Lawrence Livermore National Laboratory,” said Peter Ungaro, senior vice president and general manager, HPC and Mission Critical Solutions (MCS) at HPE. “In our three U.S. exascale wins this last year, which includes the U.S. Department of Energy’s Frontier at Oak Ridge National Laboratory, the HPE systems and technologies along with AMD processors and GPUs have become a unique solution for high-performance and exascale-class computing and we look forward to continuing our collaboration to further bolster innovation.”Additional ResourcesAMD Exascale Computing TechnologiesHPE AnnouncementLawrence Livermore Labs AnnouncementFollow AMD datacenter developments on Twitter @AMDServerAbout AMD
For 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies ― the building blocks for gaming, immersive platforms and the datacenter. Hundreds of millions of consumers, leading Fortune 500 businesses and cutting-edge scientific research facilities around the world rely on AMD technology daily to improve how they live, work and play. AMD employees around the world are focused on building great products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ:AMD) website, blog, Facebook and Twitter pages. Cautionary StatementThis press release contains forward-looking statements concerning Advanced Micro Devices, Inc. (AMD) including the features, functionality, availability, timing, deployment and expectations of an EPYC™ CPU and Radeon™ Instinct GPU powered exascale class supercomputer with open source AMD ROCm heterogeneous computing software, which are made pursuant to the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are commonly identified by words such as “would,” “may,” “expects,” “believes,” “plans,” “intends,” “projects” and other terms with similar meaning. Investors are cautioned that the forward-looking statements in this presentation are based on current beliefs, assumptions and expectations, speak only as of the date of this presentation and involve risks and uncertainties that could cause actual results to differ materially from current expectations. Such statements are subject to certain known and unknown risks and uncertainties, many of which are difficult to predict and generally beyond AMD’s control, that could cause actual results and other future events to differ materially from those expressed in, or implied or projected by, the forward-looking information and statements. Material factors that could cause actual results to differ materially from current expectations include, without limitation, the following: Intel Corporation’s dominance of the microprocessor market and its aggressive business practices; the ability of third party manufacturers to manufacture AMD’s products on a timely basis in sufficient quantities and using competitive technologies; expected manufacturing yields for AMD’s products; AMD’s ability to introduce products on a timely basis with features and performance levels that provide value to its customers while supporting and coinciding with significant industry transitions; AMD’s ability to generate sufficient revenue and operating cash flow or obtain external financing for research and development or other strategic investments; the loss of a significant customer; AMD’s ability to generate revenue from its semi-custom SoC products; global economic uncertainty; political, legal and economic risks and natural disasters; government actions and regulations such as export administration regulations, tariffs and trade protection measures may limit our ability export our products to certain customers; potential security vulnerabilities; potential IT outages, data loss, data breaches and cyber-attacks; the ability of GLOBALFOUNDRIES Inc. to satisfy AMD’s manufacturing requirements; uncertainties involving the ordering and shipment of AMD’s products; quarterly and seasonal sales patterns; the restrictions imposed by agreements governing AMD’s notes and the secured credit facility; the competitive markets in which AMD’s products are sold; the potential dilutive effect if the 2.125% Convertible Senior Notes due 2026 are converted; the market conditions of the industries in which AMD products are sold; AMD’s reliance on third-party intellectual property to design and introduce new products in a timely manner; AMD’s reliance on third-party companies for the design, manufacture and supply of motherboards, software and other computer platform components; AMD’s reliance on Microsoft Corporation and other software vendors’ support to design and develop software to run on AMD’s products; and AMD’s reliance on third-party distributors and add-in-board partners. Investors are urged to review in detail the risks and uncertainties in AMD’s Securities and Exchange Commission filings, including but not limited to AMD’s Annual Report on Form 10-K for the year ended December 28, 2019.AMD, the AMD Arrow logo, EPYC, Radeon Instinct, and combinations thereof, are trademarks of Advanced Micro Devices, Inc. Other names are for informational purposes only and may be trademarks of their respective owners. Contact:
Gary Silcott
AMD Communications
+1 (512) 602-0889 Laura Graves
AMD Investor Relations
+1 (408) 749-5467
Artificial Intelligence
Aurionpro Solutions acquires Arya.ai, to power next generation Enterprise AI platforms for Financial Institutions
SINGAPORE, April 20, 2024 /PRNewswire/ — Aurionpro Solutions Limited (BSE: 532668) (NSE: AURIONPRO) announces the acquisition of Banking and Insurance focused PaaS startup, Arya.ai. With Arya.ai, Aurionpro will enhance its portfolio of enterprise fintech offerings to expedite adoption of AI that is responsible, accurate, and auditable.
Aurionpro Solutions Ltd. will acquire a majority stake (67%) in Arya.ai. This acquisition will bring products and expertise in Artificial Intelligence, Deep Learning, Intelligent Automation, PaaS, Autonomous AI Platforms, and more, to complement and strengthen Aurionpro’s industry leading portfolio.
The transaction comprises acquisition of shares held by the existing shareholders and subscription of new equity capital in the company. This will be an all-cash deal. The aggregate investment including secondary acquisition and fund infusion is approximately 16.5 MN USD.
By integrating Arya.ai’s cutting-edge AI cloud platform, with Aurionpro’s comprehensive suite of offerings, the company will create an industry leading Enterprise AI platform focused on creating value for financial institutions globally.
Commenting on the acquisition, Ashish Rai, CEO of Aurionpro Solutions, stated, “The acquisition of Arya.ai marries Aurionpro’s portfolio of industry leading enterprise software with one of the most mature Enterprise AI platforms focused on Banks and Insurers. We are incredibly excited about working with Arya.ai and our wider ecosystem partners to build out the leading Enterprise AI platform, for the financial industry worldwide.”
“Our decade long experience in building tools/platform for deep learning helped us to build a truly verticalized AI Operating System for Banking and Insurance.” Says Vinay Kumar CEO/Founder of Arya.ai. “Together with Aurionpro, we are going to build a new generation of Enterprise AI software for Banks and Insurers that truly embeds AI, augmenting a task or Autonomous Agents that can take over entire transactions”.
Founded in 2013 by Vinay Kumar and Deekshith Marla, Arya.ai has been one of the first ‘AI’ startups to use Deep Learning and deploy in enterprises. Arya.ai’s BFSI PaaS offerings include Arya API with 80+ ML models, Libra for fine-tuning SOTA ML models, and AryaXAI for AI governance.
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Artificial Intelligence
Free Your Hands, QIDI Vida Smart AR Glasses Lead the Way in New Sports Experience.
NEW YORK, April 19, 2024 /PRNewswire/ — Outdoor smart AR glasses, QIDI Vida, will officially launch on 23rd April on the Kickstarter platform. QIDI Vida integrates the many functions of smart watches, sports headphones, cycling computers, heart rate monitors, and walkie-talkies using AR+AI technology, allowing users to bid farewell to cumbersome device management and enjoy outdoor sports anytime, anywhere with just one pair of glasses.
Function:
QIDI Vida uses high-tech HUD (Head-Up Display) which is similar to the technology used for aircrafts and premium cars and introduces it to the sports industry. Users can activate the HUD function at any time using voice control, enabling them to focus on the route ahead whilst simultaneously having access to information such as navigation, speed, heart rate, power and cadence, among other metrics. Another great function of the QIDI Vida is that users can also enjoy audiovisual entertainment through the optically perceived 100-inch AR HUD screen, when having some down time.
As cyclists and hikers often travel in groups, QIDI Vida supports eSIM and team functionality, allowing real-time voice communication without releasing handlebars, and users can monitor their groups’ real-time locations. The glasses also have comprehensive sensing and monitoring capabilities including temperature, humidity, UV, air pressure, geomagnetism and acceleration. In addition to obtaining environmental and health information, it also features health warnings such as altitude sickness symptoms and high heart rate, as well as fall and collision detection functions. And, in the event of danger, it can send distress signals to teammates.
Perks:
QIDI Vida has a global voice recognition and interaction feature that allows you to control all functions within the device by voice. To better provide users with an immersive sports experience, QIDI Vida’s intelligent system will have the capability to instantly gather personalised sports data, enabling it to deliver timely voice alerts and broadcasts, including the duration of exercise, distance, the environment and the weather – all tailored to the user’s preferences.
QIDI Vida enables voice-controlled photos and video recordings, allowing users to capture moments whilst cycling or hiking without the need to stop. QIDI Vida supports connections with common cycling smart hardware such as Garmin, Wahoo, Apple, and Samsung, supports GPX route files, and is compatible with professional sports apps such as Strava, Keep, Zwift, Apple Health, and All Trails.
QIDI Vida stands out for its lightweight and comfortable design with a dual lens for a full-colour data display, unlike competing AR glasses that typically have a single lens and limited colour. This innovation significantly enhances and augments the user’s sports and reality experience.
QIDI Vida will launch on the Kickstarter platform: https://www.kickstarter.com/projects/109560964/qidi-vida-smart-ar-glasses-for-sports
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Artificial Intelligence
Risk Analytics Market worth $180.9 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, April 19, 2024 /PRNewswire/ — The growing use of real-time monitoring and advanced analytics, integration with cutting-edge technologies like blockchain and IoT, and an emphasis on cybersecurity, cross-industry applications, and regulatory compliance are the key factors that will shape the risk analytics market in the future. The market’s development will also be influenced by collaborative risk management, improved user experience, and an increasing focus on ESG factors and risk culture.
The Risk Analytics Market is estimated to grow from USD 59.7 billion in 2024 to USD 180.9 billion in 2029, at a CAGR of 24.8% during the forecast period, according to a new report by MarketsandMarkets™. Several trends fuel the global spread of Risk Analytics. Increasingly Increasing Data Complexity, Rising Cybersecurity Threats and Rising Adoption of Cloud-Based Solutions A growing talent pool of data scientists and engineers is building the necessary tools and infrastructure. Governments are recognizing the potential of risk analytics for economic growth and are investing in research and development. These trends make DI more accessible and valuable, leading to its global adoption.
Browse in-depth TOC on “Risk Analytics Market”260 – Tables 60 – Figures350 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2019–2023
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD Billion
Segments Covered
Offering,Risk Type, Risk stages, Vertical, and Region.
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US)
By offering the services segment to account for higher CAGR during the forecast period
In the Risk Analytics Market, the highest CAGR of services is fueled by Increasing Complexity of Risks, AI and machine learning advancements, big data analytics integration, business process optimization, cloud-based solutions adoption, data-driven culture, and diverse industry adoption. These trends reflect a global shift towards leveraging data for competitive advantage, driving a continuous need for sophisticated risk analytics services across sectors. As businesses prioritize agility, the growth of services in the Risk Analytics Market is driven by the need for effective risk management strategies in an increasingly complex and uncertain business environment.
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By Type, GRC software is expected to hold the largest market size for the year 2024
GRC software typically offers comprehensive solutions that cover a wide range of risk management needs, including compliance management, policy management, audit management, and risk assessment. They also provide organizations with enhanced visibility into their risk landscape. Through features such as risk assessment, risk monitoring, and reporting, organizations can identify and prioritize risks more effectively, enabling proactive risk management strategies. GRC software streamlines risk management processes through automation, reducing manual effort and increasing efficiency. Tasks such as risk assessments, control testing, and incident management can be automated, freeing up resources to focus on strategic risk mitigation efforts. the combination of comprehensive functionality, regulatory compliance support, efficiency gains, scalability, integration capabilities, and culture enhancement makes GRC software a preferred choice for many organizations seeking to manage risk effectively.
By Vertical, Healthcare & Life Sciences is projected to grow at the highest CAGR during the forecast period
The Healthcare and Lifesciences is experiencing a surge in the adoption of risk analytics due to a confluence of factors. Healthcare providers and life sciences companies wants to ensure the safety and well-being of patients. Risk analytics helps in identifying potential risks to patient safety, such as medication errors, adverse events, and medical device failures. The healthcare and life sciences industries are heavily regulated, with strict guidelines for patient care, data privacy, drug development, and clinical trials. Risk analytics helps organizations ensure compliance with these regulations by identifying and mitigating risks of non-compliance. Healthcare organizations and life sciences companies also face financial risks associated with fraud, billing errors, revenue cycle management, and reimbursement challenges. Risk analytics helps in detecting anomalies and optimizing financial processes to mitigate these risks.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia-Pacific (APAC) region is experiencing rapid growth in the Risk Analytics Market, boasting the highest Compound Annual Growth Rate (CAGR). This surge is primarily attributed to rising demand for data-driven decision-making solutions, expanding digital transformation initiatives across industries.. Moreover, the region’s favorable regulatory environment, growing investments in big data analytics, and the integration of advanced technologies like the Internet of Things (IoT) further propel APAC’s dominance in Risk Analytics Market growth.
Top Key Companies in Risk Analytics Market:
The major risk analytics software and service providers include IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the Risk Analytics Market.
Recent Developments:
In March 2024, Orcale announced Oracle Risk Management Cloud in Release 24B. It offers comprehensive solution designed to help organizations identify, assess, and mitigate risks across their business operations. It offers advanced analytics, automation, and collaboration tools to streamline risk management.In March 2024, FIS Global announces card fraud detection capabilities leveraging artificial intelligence (AI) with aim to bolster FIS’s ability to identify and prevent fraudulent transactions, providing greater security for cardholders and financial institutions alike.In March 2024, Aon acquired an AI-powered platform to assist fleet and mobility clients in making data-driven decisions, enhancing operational efficiency and risk management. The platform utilizes artificial intelligence to analyze data and provide insights, enabling clients to optimize their fleet operations and improve decision-making processes.In March 2024, Crisp joined Resolver, with the aim to enhance Resolver’s risk intelligence capabilities by integrating Crisp’s expertise and technology into its platform, offering clients improved risk assessment and mitigation tools.In February 2024, SAS partnered with Carahsoft to bring analytics, AI, and data management solutions to the public sector. The aim is to leverage SAS’s expertise in advanced analytics and Carahsoft’s extensive government market reach to offer tailored solutions that enable public sector organizations to harness the power of data for informed decision-making and improved outcomes.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=210662258
Risk Analytics Market Advantages:
By offering insights into potential risks, opportunities, and trends, risk analytics helps organisations make data-driven decisions that improve strategic planning and resource allocation.In order to improve risk management procedures and lessen exposure to possible threats, risk analytics solutions assist businesses in identifying, evaluating, and mitigating risks across a range of business activities, including finance, operations, and compliance.Through real-time monitoring and anomaly detection made possible by risk analytics, organisations may proactively address shifting market situations, legal requirements, and cybersecurity threats.Risk analytics solutions assist organisations lower operating costs, increase productivity, and streamline compliance activities, which results in cost savings and resource optimisation. They do this by streamlining risk management procedures and automating routine work.Accurate risk assessments, audit trails, and reporting capabilities are just a few of the ways that risk analytics solutions help organisations comply with regulations and stay out of trouble.Organisations can enhance their resilience and competitiveness by anticipating and mitigating potential hazards before they materialise through the use of predictive modelling and advanced analytics approaches in risk analytics.Report Objectives
To define, describe, and predict the Risk Analytics Market by offering, risk type, risk stages, vertical, and regionTo provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growthTo analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile the key players and comprehensively analyze their market rankings and core competenciesTo analyze the competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the Risk Analytics MarketBrowse Adjacent Markets: Analytics Market Research Reports & Consulting
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