WHAT DOES FACEBOOK’S QUIET AI ACQUISITIONS ACROSS UK SIGNIFY?

February 17, 2020 | 119 views

The social media giant Facebook has always been at the forefront of AI advancement. Amid all the controversies and roadblocks in its strive to attain AI leadership, the company is moving forward with innovation and tech developments. These developments are a major result of its acquisitions; small but significant. Facebook’s M&A activities are proving to be quite beneficial in its AI journey. Recently, the company acquired Scape Technologies which is a London-based computer vision startup working on location accuracy beyond the capabilities of GPS.

Spotlight

Serosoft Solutions

"Serosoft Solutions is a fast-growing educational software and solutions company, promoted by a dynamic team of erstwhile I-Bankers, US graduates and MBA’s. We are part of the prestigious 50-year old Hindustan Group of Companies (www.hindustangroup.com). Our out-of-the-box and customized solutions are helping scores of institutions and corporates - globally- overcome their educational and learning challenges and to drive innovation.

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SOFTWARE

8 Epic App Innovations that Help Your Business Stand Out

Article | August 8, 2022

Increased use of the internet and smartphones demands better mobile applications be developed. Innovation is the key driving force that can make or break the market regarding mobile app development. A fantastic team of mobile app developers and smart innovation employing the latest technology produce a huge hit app. Let us learn more about how the mobile app development market grows. The Market for Mobile Application Development The mobile application development market is projected to grow at a 13.4% CAGR from 2023 to 2030, with a value of $187.58 billion recorded in 2021. This is due to the increased use of the internet and smartphone platforms, as well as artificial intelligence and machine learning. The app's algorithms learn and understand user interests to deliver refined results that generate better user engagement. As Ericsson and the Radicati Group forecasted, 6.64 billion people own a smartphone today, which is around 83.32% of the world population, and by 2025, 7.33 billion people will own a smartphone. As a result, there is a substantial rise in demand for better smartphone apps, for which creative and innovative mobile application development is the need of the hour. Innovation will give your business a competitive edge it's never had before. It will also open up new ways to grow your business. Discover the top innovations in mobile app development. Innovations in Mobile Application Development Some of the technological breakthroughs in mobile app development will greatly improve the user experience in the future. These focus mainly on the implementation of the latest technological innovations to realize functionality that has never been seen or done before. Let us now delve into their specifics. In-App Paid Features: Android and iOS Development While Android has a market share of 70%, iOS has grabbed a market share of around 28% in the mobile operating systems market as of 2022. In-app advertising and in-app purchases generate the major ROI from mobile applications on both mobile operating platforms. A great UI and UX go a long way toward boosting your app and business, and they also help you rank highly in the respective app markets, i.e., the Google Play Store and the App Store. Rolling out constant updates and adhering to the security standards of the marketplace keeps your business app ranking at the top. Augmented and virtual reality With the AR kit, you can design and make 3D mobile apps for your customers that use virtual reality. AR and VR are constantly changing the business of making mobile apps. You can use these trends to give mobile users really great experiences. A few of the sectors making successful use of these technologies include gaming, e-commerce, retail, interior design, real estate, tourism and travel, education, training, healthcare, manufacturing and construction, advertising and marketing, and entertainment. Your AR and VR mobile apps are more valuable if you can meet your expectations for maximum ROI with a minimum budget. You can do this by making constant improvements to your minimum viable product. Beacon Technology The beacon technology uses a smartphone's Bluetooth to identify any store, museum, or other business in the vicinity. As mobile devices get more powerful, IoT and edge sensors will be used more and more. Because of that, beacon technology will change the way we interact with the world. This technology sends notifications to your customer’s phone about your product when the customer passes by, sends content and descriptions about an ongoing event at your location to your customers, and more. Proximity marketing and indoor navigation notifications are the few ways retail is using this technology. With the help of beacon technology, your business can track assets, keep track of contacts, offer access to loyalty programs, gather advanced data, and send mobile tickets. Al and ML The versatility and power of innovations in Al and ML keep them relevant. For example, they let you turn pictures into animations that look real. These animations provide real-time analytics and other valuable insights. As an AI learns from its own experience, providing a better customer experience based on the data you feed it helps create intelligent chatbots. Personalized shopping assistance, fraud prevention, task automation, smart content, voice assistants, and autonomous vehicles are a few of the examples where you will see AI implemented. An AI trains itself through machine learning, or ML. ML forecasts future data trends using available historical data. This invaluable addition to your existing apps transforms the way they interact with customers. We are one step closer to a super-personalized experience. Wearables Wearables let you make calls, find your way to your destination, measure and analyze your vital signs in real time, and look at your own personal insights. So, app developers and businesspeople should focus on making apps that give people who use wearables a great digital experience. Getting better apps for wearable devices can greatly enhance their functionality and the user experience. From listening to your favorite music to tracking your fitness goals, taking notes, finding a parking spot, and adhering to your health and fitness regimen, a wearable device does it all. If developing your company’s wearable app delivers more value, this technology is not just a game changer but a lifesaver for many. Predictive analytics Predictive analytics is essential to e-commerce. When it comes to making mobile apps, predictive analysis can help improve both the process and the user experience. By putting together information from many developers, it can help predict problems and suggest solutions. Your predictive analytics will be better if you use artificial intelligence (AI), data mining, machine learning, modeling, and statistics. The data that your small and medium-scale businesses have gathered over a period of time becomes one of the most valuable sources of information that helps predict and forecast future market trends. Unexplained market rises and falls will now have an explanation, as will mobile apps that can precisely tell what, when, and where needs to be changed, replaced, or repaired. Using constants and variables that are already known, predictive analytics and data modeling can help make accurate predictions about the future. Blockchain Technology The world of blockchain has innumerable possibilities. Applications backed by blockchain technology benefit from end-to-end encryption. This means no one but you can retain data ownership rights. Blockchain technology is used for a lot of important communication and financial transactions because it is safe and private. Blockchain holds promise for better efficiency, productivity, and performance, as well as for elevating the user experience. Blockchain is more secure and reliable, offers better transparency in financial transactions, makes you go password-free using an SSL certificate (Secure Sockets Layer), promotes simplicity, protects your identity, safeguards access to your digital data and information, and helps transmit and receive accurate data with the help of balanced data transfer using several nodes at once. On-Demand Applications As lockdowns and quarantines went on for a long time, many delivery apps started to appear. There were apps for taxis, grocery stores, and even medicine delivery. The on-demand model is likely to grow as more service-based companies shift their focus towards on-demand apps. Technology is always changing, and every year, new versions of technology hit the market. That's why we need to keep up with the latest updates and use them to make applications that are both new and full of features. That's a must for a successful launch of a mobile app. Making the development process easy for the developers reduces the time it takes to develop applications using the software. There are options like rapid application development software, no code, and low-code application development software. These can include mobile app development, SaaS (software as a service), cloud apps, on-premise standalone apps, desktop apps, and web-based apps for many devices, including IoT devices. Using AI to power the application development process speeds up development, testing, and deployment, which helps a lot with scaling from small to medium to large and beyond. Some quick and effective mobile app development platforms include Quixey, Zoho Creator, AppyPie, AppSheet, Bizness Apps, Appery.io, iBuldApp, Shoutem, Rollbar, JIRA, AppInstitute, GoodBarber, Caspio, and more. Long-Term Benefits of Mobile App Development Innovations for Your Small Business: Creating a winning product doesn’t have to be a long process. Improvements on the product offered by competitors and finding competitor product shortcomings, along with using innovative technologies, help add value to your mobile app as a product. Mobile app development innovations help in many ways, such as: Improve your brand's relationship with your customers. Offer 24/7 access to your business, Get excellent customer insights, Efficiently market your product online, Save on additional marketing costs, Boost employee efficiency by increasing engagement. Improve communication, shreds down the busy work and Streamline the data. Generate a new revenue stream from ads targeted at in-app purchases. As a result, you meet customer expectations efficiently, allowing you to expand your business and attract potential customers. Your customers and potential customers are always looking for something new and exciting to experience and adopt. Sooner or later, they make habits of seeing something, and then they start thinking of that mobile app as a standard benchmark to look up to. Talking about the scalability of a mobile application, there is a lot of scope to improve using innovative technologies, and all minor to major updates take you from where you are to where you want to be. Finding the right mix of technologies will help your business grow and expand. Tying everything together Business growth for small-scale businesses starts with new inputs and strategic technological investments in mobile app development. Although they sound promising, striking the right balance to implement innovative technologies relies heavily on rigorous predictive analysis. Tools and technologies help meet customer expectations at scale and grow the business beyond imagination with the power of innovation.

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FUTURE TECH

Empowering Industry 4.0 with Artificial Intelligence

Article | July 26, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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INNOVATION, SOFTWARE, FUTURE TECH

How Artificial Intelligence Is Transforming Businesses

Article | November 14, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Spotlight

Serosoft Solutions

"Serosoft Solutions is a fast-growing educational software and solutions company, promoted by a dynamic team of erstwhile I-Bankers, US graduates and MBA’s. We are part of the prestigious 50-year old Hindustan Group of Companies (www.hindustangroup.com). Our out-of-the-box and customized solutions are helping scores of institutions and corporates - globally- overcome their educational and learning challenges and to drive innovation.

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AI TECH,GENERAL AI,FUTURE TECH

NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer

NVIDIA | November 17, 2022

NVIDIA today announced a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models. Azure’s cloud-based AI supercomputer includes powerful and scalable ND- and NC-series virtual machines optimized for AI distributed training and inference. It is the first public cloud to incorporate NVIDIA’s advanced AI stack, adding tens of thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s InfiniBand networking and the NVIDIA AI Enterprise software suite to its platform. As part of the collaboration, NVIDIA will utilize Azure’s scalable virtual machine instances to research and further accelerate advances in generative AI, a rapidly emerging area of AI in which foundational models like Megatron Turing NLG 530B are the basis for unsupervised, self-learning algorithms to create new text, code, digital images, video or audio. The companies will also collaborate to optimize Microsoft’s DeepSpeed deep learning optimization software. NVIDIA’s full stack of AI workflows and software development kits, optimized for Azure, will be made available to Azure enterprise customers. “AI technology advances as well as industry adoption are accelerating. The breakthrough of foundation models has triggered a tidal wave of research, fostered new startups and enabled new enterprise applications. “Our collaboration with Microsoft will provide researchers and companies with state-of-the-art AI infrastructure and software to capitalize on the transformative power of AI.” Manuvir Das, vice president of enterprise computing at NVIDIA “AI is fueling the next wave of automation across enterprises and industrial computing, enabling organizations to do more with less as they navigate economic uncertainties,” said Scott Guthrie, executive vice president of the Cloud + AI Group at Microsoft. “Our collaboration with NVIDIA unlocks the world’s most scalable supercomputer platform, which delivers state-of-the-art AI capabilities for every enterprise on Microsoft Azure.” Scalable Peak Performance With NVIDIA Compute and Quantum-2 InfiniBand on Azure Microsoft Azure’s AI-optimized virtual machine instances are architected with NVIDIA’s most advanced data center GPUs and are the first public cloud instances to incorporate NVIDIA Quantum-2 400Gb/s InfiniBand networking. Customers can deploy thousands of GPUs in a single cluster to train even the most massive large language models, build the most complex recommender systems at scale, and enable generative AI at scale. The current Azure instances feature NVIDIA Quantum 200Gb/s InfiniBand networking with NVIDIA A100 GPUs. Future ones will be integrated with NVIDIA Quantum-2 400Gb/s InfiniBand networking and NVIDIA H100 GPUs. Combined with Azure’s advanced compute cloud infrastructure, networking and storage, these AI-optimized offerings will provide scalable peak performance for AI training and deep learning inference workloads of any size. Accelerating AI Development and Deployment Additionally, the platform will support a broad range of AI applications and services, including Microsoft DeepSpeed and the NVIDIA AI Enterprise software suite. Microsoft DeepSpeed will leverage the NVIDIA H100 Transformer Engine to accelerate transformer-based models used for large language models, generative AI and writing computer code, among other applications. This technology applies 8-bit floating point precision capabilities to DeepSpeed to dramatically accelerate AI calculations for transformers — at twice the throughput of 16-bit operations. NVIDIA AI Enterprise — the globally adopted software of the NVIDIA AI platform — is certified and supported on Microsoft Azure instances with NVIDIA A100 GPUs. Support for Azure instances with NVIDIA H100 GPUs will be added in a future software release. NVIDIA AI Enterprise, which includes the NVIDIA Riva for speech AI and NVIDIA Morpheus cybersecurity application frameworks, streamlines each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment. About NVIDIA Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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GENERAL AI

Hayden AI Joins NVIDIA Metropolis to Power Its Computer Vision Platform

Hayden AI | August 17, 2022

Hayden AI, a global leader in artificial intelligence and machine learning technologies, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world’s most important spaces and operations safer and more efficient. “We’re thrilled to join Metropolis and incorporate NVIDIA’s vision AI tools into our patented perception platform. “NVIDIA tools enable us to collect and process data at the edge, enhancing our algorithms in real time and helping protect data security by limiting the amount of data transmitted to the cloud.” Chris Carson, co-founder and CEO of Hayden AI Hayden AI uses the NVIDIA Jetson edge AI platform to develop AI and machine learning technologies that will revolutionize how governments and businesses solve real-world problems. From bus lane and bus stop enforcement to digital twin modeling and more, Hayden AI customers use its mobile perception system to speed up transit, make streets safer and create a more sustainable future. “What differentiates Hayden AI’s automated traffic enforcement platform from our competitors is our unique ability to process traffic violations in real time at the edge, making Hayden AI a privacy-first platform,” said Vaibhav Ghadiok, co-founder and Executive Vice President of Engineering at Hayden AI. “Hayden AI strives to continually improve the performance and feature offering to our customers, and NVIDIA software enables faster development cycles, making the transition from development to production seamless." NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms and using an enterprise-class approach to their solutions. Members have the opportunity to gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations. About Hayden AI At Hayden AI, we’re pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Our privacy first approach ensures that our technologies comply with security and privacy regulations and protect personal information while fostering innovation.

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AI TECH

NEC Selects DDN Storage for Japan's Largest Corporate AI Research Supercomputer

DDN | May 19, 2022

DDN®, the global leader in artificial intelligence (AI) and multicloud data management solutions, today announced that NEC Corporation (NEC) has selected DDN storage for its new supercomputer dedicated to AI research. With a raw compute performance of 580 PFLOPS, the new research supercomputer will provide data scientists at NEC with access to the largest AI-focused development environment in the industry in Japan and assist in the rapid development of advanced AI. The AI research supercomputer relies on the DDN EXAScaler® parallel file system, which has been used in HPC environments around the world for more than 20 years, and more recently to support emerging large-scale AI use cases. The storage environment consists of multiple DDN ES400NVX EXAScaler appliances with a total capacity of 16 PB, providing 400 GB/sec read and 320 GB/sec write IO performance, and around 24 million IOPS. The AI research supercomputer's hardware system is configured with NVIDIA's A100 80GB Tensor Core GPU for processing and NVIDIA Spectrum SN3700 switches for networking, which are tightly integrated with the DDN solutions. "NEC has been developing various advanced AI technologies such as biometric authentication, image recognition, video analysis, and data analytics. Therefore, we handle a wide variety of large-scale data, including images, video, audio, and text," said Mr. Takatoshi Kitano, senior AI platform architect, Digital Technology Development Laboratory, NEC Corporation. "After a year of technical verification and operation, we decided to adopt DDN's high-performance storage, which can handle a wide variety of I/O workloads. Another deciding factor in our decision was DDN Japan's excellent technical development and maintenance capabilities. We expect both companies to collaborate on the development of the AI supercomputer and take on the challenge of creating new social value in the future." In AI, the "data pre-processing" phase—from data ingestion to data transfer to training—is the most critical phase for a storage environment. DDN's EXAScaler appliances not only provide high-performance storage for a variety of workloads but also offer the security and management features that are essential for enterprises' AI workloads. DDN's EXAScaler storage system provides GPU Direct Storage integration, the CSI driver necessary for storage access through Kubernetes, and multi-tenancy—standard features that enable secure and simplified management without compromising on performance improvements when utilized in a leading-edge deep learning environment. "Data has become a strategic tool to address a wide variety of business opportunities. "We are excited by this opportunity to supply NEC with an efficient solution to help drive their data-centric AI initiatives." Robert Triendl, general manager of DDN Japan DDN's data storage solutions will fully support the new AI research supercomputer to realize NEC's objective of "AI research and development to accelerate the digital transformation of society." The NEC supercomputer for AI research has already entered production and is expected to reach its planned capacity in March 2023. About DDN DDN is the world's largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government, and academia customers. Through its DDN and Tintri® divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world's leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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AI TECH,GENERAL AI,FUTURE TECH

NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer

NVIDIA | November 17, 2022

NVIDIA today announced a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models. Azure’s cloud-based AI supercomputer includes powerful and scalable ND- and NC-series virtual machines optimized for AI distributed training and inference. It is the first public cloud to incorporate NVIDIA’s advanced AI stack, adding tens of thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s InfiniBand networking and the NVIDIA AI Enterprise software suite to its platform. As part of the collaboration, NVIDIA will utilize Azure’s scalable virtual machine instances to research and further accelerate advances in generative AI, a rapidly emerging area of AI in which foundational models like Megatron Turing NLG 530B are the basis for unsupervised, self-learning algorithms to create new text, code, digital images, video or audio. The companies will also collaborate to optimize Microsoft’s DeepSpeed deep learning optimization software. NVIDIA’s full stack of AI workflows and software development kits, optimized for Azure, will be made available to Azure enterprise customers. “AI technology advances as well as industry adoption are accelerating. The breakthrough of foundation models has triggered a tidal wave of research, fostered new startups and enabled new enterprise applications. “Our collaboration with Microsoft will provide researchers and companies with state-of-the-art AI infrastructure and software to capitalize on the transformative power of AI.” Manuvir Das, vice president of enterprise computing at NVIDIA “AI is fueling the next wave of automation across enterprises and industrial computing, enabling organizations to do more with less as they navigate economic uncertainties,” said Scott Guthrie, executive vice president of the Cloud + AI Group at Microsoft. “Our collaboration with NVIDIA unlocks the world’s most scalable supercomputer platform, which delivers state-of-the-art AI capabilities for every enterprise on Microsoft Azure.” Scalable Peak Performance With NVIDIA Compute and Quantum-2 InfiniBand on Azure Microsoft Azure’s AI-optimized virtual machine instances are architected with NVIDIA’s most advanced data center GPUs and are the first public cloud instances to incorporate NVIDIA Quantum-2 400Gb/s InfiniBand networking. Customers can deploy thousands of GPUs in a single cluster to train even the most massive large language models, build the most complex recommender systems at scale, and enable generative AI at scale. The current Azure instances feature NVIDIA Quantum 200Gb/s InfiniBand networking with NVIDIA A100 GPUs. Future ones will be integrated with NVIDIA Quantum-2 400Gb/s InfiniBand networking and NVIDIA H100 GPUs. Combined with Azure’s advanced compute cloud infrastructure, networking and storage, these AI-optimized offerings will provide scalable peak performance for AI training and deep learning inference workloads of any size. Accelerating AI Development and Deployment Additionally, the platform will support a broad range of AI applications and services, including Microsoft DeepSpeed and the NVIDIA AI Enterprise software suite. Microsoft DeepSpeed will leverage the NVIDIA H100 Transformer Engine to accelerate transformer-based models used for large language models, generative AI and writing computer code, among other applications. This technology applies 8-bit floating point precision capabilities to DeepSpeed to dramatically accelerate AI calculations for transformers — at twice the throughput of 16-bit operations. NVIDIA AI Enterprise — the globally adopted software of the NVIDIA AI platform — is certified and supported on Microsoft Azure instances with NVIDIA A100 GPUs. Support for Azure instances with NVIDIA H100 GPUs will be added in a future software release. NVIDIA AI Enterprise, which includes the NVIDIA Riva for speech AI and NVIDIA Morpheus cybersecurity application frameworks, streamlines each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment. About NVIDIA Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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GENERAL AI

Hayden AI Joins NVIDIA Metropolis to Power Its Computer Vision Platform

Hayden AI | August 17, 2022

Hayden AI, a global leader in artificial intelligence and machine learning technologies, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world’s most important spaces and operations safer and more efficient. “We’re thrilled to join Metropolis and incorporate NVIDIA’s vision AI tools into our patented perception platform. “NVIDIA tools enable us to collect and process data at the edge, enhancing our algorithms in real time and helping protect data security by limiting the amount of data transmitted to the cloud.” Chris Carson, co-founder and CEO of Hayden AI Hayden AI uses the NVIDIA Jetson edge AI platform to develop AI and machine learning technologies that will revolutionize how governments and businesses solve real-world problems. From bus lane and bus stop enforcement to digital twin modeling and more, Hayden AI customers use its mobile perception system to speed up transit, make streets safer and create a more sustainable future. “What differentiates Hayden AI’s automated traffic enforcement platform from our competitors is our unique ability to process traffic violations in real time at the edge, making Hayden AI a privacy-first platform,” said Vaibhav Ghadiok, co-founder and Executive Vice President of Engineering at Hayden AI. “Hayden AI strives to continually improve the performance and feature offering to our customers, and NVIDIA software enables faster development cycles, making the transition from development to production seamless." NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms and using an enterprise-class approach to their solutions. Members have the opportunity to gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations. About Hayden AI At Hayden AI, we’re pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Our privacy first approach ensures that our technologies comply with security and privacy regulations and protect personal information while fostering innovation.

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AI TECH

NEC Selects DDN Storage for Japan's Largest Corporate AI Research Supercomputer

DDN | May 19, 2022

DDN®, the global leader in artificial intelligence (AI) and multicloud data management solutions, today announced that NEC Corporation (NEC) has selected DDN storage for its new supercomputer dedicated to AI research. With a raw compute performance of 580 PFLOPS, the new research supercomputer will provide data scientists at NEC with access to the largest AI-focused development environment in the industry in Japan and assist in the rapid development of advanced AI. The AI research supercomputer relies on the DDN EXAScaler® parallel file system, which has been used in HPC environments around the world for more than 20 years, and more recently to support emerging large-scale AI use cases. The storage environment consists of multiple DDN ES400NVX EXAScaler appliances with a total capacity of 16 PB, providing 400 GB/sec read and 320 GB/sec write IO performance, and around 24 million IOPS. The AI research supercomputer's hardware system is configured with NVIDIA's A100 80GB Tensor Core GPU for processing and NVIDIA Spectrum SN3700 switches for networking, which are tightly integrated with the DDN solutions. "NEC has been developing various advanced AI technologies such as biometric authentication, image recognition, video analysis, and data analytics. Therefore, we handle a wide variety of large-scale data, including images, video, audio, and text," said Mr. Takatoshi Kitano, senior AI platform architect, Digital Technology Development Laboratory, NEC Corporation. "After a year of technical verification and operation, we decided to adopt DDN's high-performance storage, which can handle a wide variety of I/O workloads. Another deciding factor in our decision was DDN Japan's excellent technical development and maintenance capabilities. We expect both companies to collaborate on the development of the AI supercomputer and take on the challenge of creating new social value in the future." In AI, the "data pre-processing" phase—from data ingestion to data transfer to training—is the most critical phase for a storage environment. DDN's EXAScaler appliances not only provide high-performance storage for a variety of workloads but also offer the security and management features that are essential for enterprises' AI workloads. DDN's EXAScaler storage system provides GPU Direct Storage integration, the CSI driver necessary for storage access through Kubernetes, and multi-tenancy—standard features that enable secure and simplified management without compromising on performance improvements when utilized in a leading-edge deep learning environment. "Data has become a strategic tool to address a wide variety of business opportunities. "We are excited by this opportunity to supply NEC with an efficient solution to help drive their data-centric AI initiatives." Robert Triendl, general manager of DDN Japan DDN's data storage solutions will fully support the new AI research supercomputer to realize NEC's objective of "AI research and development to accelerate the digital transformation of society." The NEC supercomputer for AI research has already entered production and is expected to reach its planned capacity in March 2023. About DDN DDN is the world's largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government, and academia customers. Through its DDN and Tintri® divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world's leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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