Artificial Intelligence Accelerate the Power with Neural Networks

July 2, 2019 | 188 views

Neural Networks, the buzzword of the date were in fact invented in the mid-1900s. The algorithm that trains a neural network, called the backpropagation algorithm was formulated by the famous Geoffrey Hinton in the 1960s. So why do you hear about it now? Because we didn’t have the computational power or the huge amounts of data to use this tech worldwide. If you are someone looking for a solid career in AI, you have to know things about Neural Networks.

Spotlight

BlueVoyant

BlueVoyant is an analytics-driven cybersecurity company based in New York City, whose mission is to defend businesses around the world against agile and well-financed cyber attackers by providing unparalleled visibility, insight and responsiveness. The company was founded by leaders from Morgan Stanley, Thomson Reuters, the NSA, the FBI, Unit 8200 and GCHQ to protect the global economy from the increased risk of cyberattack and give private sector organizations the same level of cybersecurity defense capabilities that the best-protected institutions enjoy.

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8 Epic App Innovations that Help Your Business Stand Out

Article | July 20, 2022

Contents 1. The Market for Mobile Application Development 2. Innovations in Mobile Application Development 2.1 In-App Paid Features: Android and iOS Development 2.2 Augmented and Virtual Reality 2.3 Beacon Technology 2.4 Al and Ml 2.5 Wearables 2.6 Predictive Analytics 2.7 Blockchain Technology 2.8 On-Demand Applications 3. Long-Term Benefits of Mobile App Development Innovations for Your Small Business: 4. Tying Everything Together 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. 1. 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. 2. 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. 2.1 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. 2.2 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. 2.3 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. 2.4 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. 2.5 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. 2.6 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. 2.7 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. 2.8 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 software 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 AppSheet, AppInstitute, Appery.io, AppyPie, Bizness Apps, Caspio, GoodBarber, iBuldApp, Quixey, Rollbar, Shoutem, and more. 3. Long-Term Benefits of Mobile App 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. 4. 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 14, 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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FUTURE TECH

How Artificial Intelligence Is Transforming Businesses

Article | July 26, 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

BlueVoyant

BlueVoyant is an analytics-driven cybersecurity company based in New York City, whose mission is to defend businesses around the world against agile and well-financed cyber attackers by providing unparalleled visibility, insight and responsiveness. The company was founded by leaders from Morgan Stanley, Thomson Reuters, the NSA, the FBI, Unit 8200 and GCHQ to protect the global economy from the increased risk of cyberattack and give private sector organizations the same level of cybersecurity defense capabilities that the best-protected institutions enjoy.

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AI TECH,GENERAL AI

Plainsight and Connection Launch AI Alliance To Bring Computer Vision To Enterprises Across Industries

Plainsight | December 09, 2022

Plainsight, the leader in proven vision AI, announced today a strategic partnership with Connection (PC Connection, Inc.; NASDAQ: CNXN), a leading information technology solutions provider, that paves the way for enterprises across markets to harness the power of accurate, scalable, and repeatable computer vision. Available today via the partnership, Connection offers Plainsight's enterprise-grade vision AI solutions with fully managed services, helping organizations accelerate innovation, solve persistent problems, and grow competitive advantages with greater assurance and speed. Customers benefit from expert guidance, an industry-leading platform, and complete management of their visual data, vision AI workflows, solutions, and shared insights. As a premier computer vision partner, Plainsight enhances Connection's comprehensive hardware and infrastructure solutions with production-ready, codified, responsible vision AI. Connection will resell Plainsight on Google Cloud via the Google Cloud marketplace. While the partnership is aimed across industries, the initial focus is on Manufacturing and Retail, capturing immediate demand and leveraging Connection's established partner and customer network. This extensive reach through Connection sales channels widens distribution of Plainsight managed solutions and end-to-end platform for centralized processes, standardized pipelines, and actionable insights across enterprise computer vision initiatives. "Plainsight has demonstrated time and again their ability to derive unmatched value from custom computer vision solutions faster and with more repeatability than any other provider," said Jamal Khan, Chief Growth and Innovation Officer, Connection. "By taking a holistic approach to customer engagement, Plainsight's computer vision experts are able to identify and scale new and innovative computer vision solutions in just a few days or weeks, which is pivotal in helping Connection customers maintain a competitive advantage in their respective, diverse markets." "It's high time enterprises achieve the revenue gains and cost savings computer vision provides, but while organizations around the world increasingly rely on images and videos for critical functions, most are struggling to manage the data and deploy applications successfully. "To conquer these challenges and deliver transformational enterprise solutions, Connection is an ideal ally, and together, we're empowering enterprises to successfully navigate through computer vision initiatives and see the untapped value they've been missing." Carlos Anchia, Plainsight Co-Founder and CEO Underscoring this relationship are respective partnerships with Google Cloud. Plainsight is a trusted ISV partner within the Google Cloud Marketplace, and Connection is a Premier Google Cloud Partner and Google Cloud Marketplace reseller. Plainsight and Connection deliver deeply integrated vision AI solutions enabling customers to leverage Google Cloud infrastructure security, privacy, and scalability with unified procurement and administration. About Plainsight Plainsight provides the unique combination of AI strategy, a vision AI platform, and deep learning expertise to develop, implement, and oversee transformative computer vision solutions for enterprises. Through the widest breadth of managed services and a vision AI platform for centralized processes and standardized pipelines, Plainsight makes computer vision repeatable and accountable across all enterprise vision AI initiatives. Plainsight solves problems where others have failed and empowers businesses across industries to realize the full potential of their visual data with the lowest barriers to production, fastest value generation, and monitoring for long-term success.

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AI TECH,GENERAL AI

Aetina Launches New ASIC-Based Edge AI System Powered by Blaize

Aetina | December 08, 2022

Aetina, an edge AI solution provider that offers embedded computing hardware and software for AI and IoT, has launched a new ASIC-based edge AI system powered by the programmable Blaize® Pathfinder P1600 Embedded System on Module (SoM). The Aetina AI inference system—AIE-CP1A-A1—is a small-sized embedded computer designed for different computer vision applications, including object detection, human motion detection, and automated inspection. The AIE-CP1A-A1 model features the small form factor Blaize® Pathfinder P1600 Embedded SoM, ideal for rugged and challenging environments and embedded systems that need extended temperature ranges. It features Dual ARM Cortex A53 processors, 16 GSP cores providing 16 TOPS AI performance, and the benefits of low memory bandwidth and low latency, making it capable of accelerating neural network (NN) deployment and deep learning (DL) process. Based on the Blaize Graph Streaming Processor (GSP®) architecture, the Pathfinder enables energy-efficient processing power ideal for AI inferencing workloads at the edge, easily plugs into a custom carrier board, and runs autonomously or integrated within a larger system. Due to its compact, fanless design and multiple I/O ports, the AIE-CP1A-A1 can fit both commercial and industrial-grade AI-powered systems that involve vision AI-related inference. The Blaize Pathfinder also supports H.264/H.265 video encoder and decoder, making it compatible with different sensors to run quick image recognition and video analytics tasks. Aetina offers customized carrier boards and computer cases for sophisticated system integration and chip-down design service to provide other kinds of embedded computing models, such as single-board computer (SBC) with the Blaize Pathfinder in addition to regular box PCs. Moreover, Aetina helps developers convert their AI inference models to a format that can run and function normally on edge devices built with ASIC chips. “We are now expanding our edge computing product line to bring more GPU and ASIC-based solutions to help developers build their AI systems in various verticals and industries. “The AIE-CP1A-A1 model, powered by Blaize Pathfinder P1600 SoM, is our first ASIC-based system. In the future, by integrating different types of chips and modules, we can offer heterogeneous computing devices that are suitable for different AI models.” Jackal Chen, Senior Product Manager at Aetina Keeping AI processing and inferencing workloads at the edge, rather than sending data to the cloud, is critical for cost-effective and almost latency-free AI applications," said Dinakar Munagala, CEO and Co-founder of Blaize. "The Pathfinder SoM and our GSP architecture enable this key business objective for the demands of computer vision applications, including object detection, autonomous optical inspection, robotics, and more." Additionally, Aetina is now developing more ASIC-based AI accelerators with M.2 and EDSFF specification for developers, speeding up the inference processes of their AI models at the edge. About Blaize Blaize is a leading provider of a proprietary purpose-built, full-stack hardware architecture and low-code/no-code software platform that enables edge AI processing solutions at the network’s edge for computing in multiple large and rapidly-growing markets — automotive, mobility, retail, security, industrial automation, medical devices, and many others. Blaize’s novel solution solves the technical problem that edge AI processing requires across those verticals — very low latency and high thermal and power efficiency — which previously relied on retrofitting sub-optimized AI solutions designed more for data centers and the cloud. Blaize has previously raised over $180MM from strategic investors such as DENSO, Daimler, Magna, and Samsung, and financial investors such as Franklin Templeton, Temasek, GGV, and others. With headquarters in El Dorado Hills (CA), Blaize has teams in San Jose (CA) and subsidiaries in Hyderabad (India), Manila (Philippines), and Leeds and Kings Langley (UK), with 300+ employees worldwide. About Aetina Aetina Corporation, founded in 2012 in Taipei, Taiwan, is a leading provider of state-of-the-art AI solutions involving high-performance edge computing hardware and low-code/no-code software to help developers build different AI verticals quickly. With a focus on the global AI market, Aetina is committed in delivering professional longevity services to solve the developers’ pain points and speed up their AI adoption processes.

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AI TECH,GENERAL AI,SOFTWARE

Spiro.AI Content Generator for Customer Interactions

Spiro.AI | December 06, 2022

Contents 1. Functions of Spiro.AI Content Generator for Customer Interactions 2. Monitoring AI-generated Customer Interactions Generative Pre-trained Transformer 3 (GPT-3) is one of the most powerful OpenAI Application Programming Interfaces (APIs) for creating human-like text using artificial intelligence (AI). Using AI, businesses can improve their customer interactions by implementing an AI to collect all their customer interaction data together. In this regard, Spiro.AI has designed an AI content generator called the Spiro AI Engine that takes care of interactions such as voice, text, and emails. 1. Functions of Spiro.AI Content Generator for Customer Interactions: Over a period of time, companies generate a lot of customer interaction data, and they want their best customer interactions and resolutions to be synthesized by the AI for everyone to access quickly. This AI is capable of performing the most crucial customer communications, such as Customer support call transcription Making a call summary that writes down everything that was said about the topic, Putting together emails based on phone calls and texts that help you remember the main points of conversations, Classifying and tagging emails with different topics based on the interactions they had and Summarizing groups of emails as per the tagged topics. 2. Monitoring AI-generated Customer Interactions: Quality customer interactions can happen when the AI acts within the framework of customer service regulations. When the volume of customer interactions via AI increases without a regulated approach, it can become a problem. However, AI generators for customer interactions promise business scalability if they remain under control and remain within the set of established rules. “According to Servion, 95% of customer interactions will be AI-based by 2025.” The future of AI-enabled customer interactions looks bright, as these are increasingly becoming streamlined and adaptive to the customer’s pain points. This helps companies deliver a quality customer experience throughout all the communication channels.

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AI TECH,GENERAL AI

Plainsight and Connection Launch AI Alliance To Bring Computer Vision To Enterprises Across Industries

Plainsight | December 09, 2022

Plainsight, the leader in proven vision AI, announced today a strategic partnership with Connection (PC Connection, Inc.; NASDAQ: CNXN), a leading information technology solutions provider, that paves the way for enterprises across markets to harness the power of accurate, scalable, and repeatable computer vision. Available today via the partnership, Connection offers Plainsight's enterprise-grade vision AI solutions with fully managed services, helping organizations accelerate innovation, solve persistent problems, and grow competitive advantages with greater assurance and speed. Customers benefit from expert guidance, an industry-leading platform, and complete management of their visual data, vision AI workflows, solutions, and shared insights. As a premier computer vision partner, Plainsight enhances Connection's comprehensive hardware and infrastructure solutions with production-ready, codified, responsible vision AI. Connection will resell Plainsight on Google Cloud via the Google Cloud marketplace. While the partnership is aimed across industries, the initial focus is on Manufacturing and Retail, capturing immediate demand and leveraging Connection's established partner and customer network. This extensive reach through Connection sales channels widens distribution of Plainsight managed solutions and end-to-end platform for centralized processes, standardized pipelines, and actionable insights across enterprise computer vision initiatives. "Plainsight has demonstrated time and again their ability to derive unmatched value from custom computer vision solutions faster and with more repeatability than any other provider," said Jamal Khan, Chief Growth and Innovation Officer, Connection. "By taking a holistic approach to customer engagement, Plainsight's computer vision experts are able to identify and scale new and innovative computer vision solutions in just a few days or weeks, which is pivotal in helping Connection customers maintain a competitive advantage in their respective, diverse markets." "It's high time enterprises achieve the revenue gains and cost savings computer vision provides, but while organizations around the world increasingly rely on images and videos for critical functions, most are struggling to manage the data and deploy applications successfully. "To conquer these challenges and deliver transformational enterprise solutions, Connection is an ideal ally, and together, we're empowering enterprises to successfully navigate through computer vision initiatives and see the untapped value they've been missing." Carlos Anchia, Plainsight Co-Founder and CEO Underscoring this relationship are respective partnerships with Google Cloud. Plainsight is a trusted ISV partner within the Google Cloud Marketplace, and Connection is a Premier Google Cloud Partner and Google Cloud Marketplace reseller. Plainsight and Connection deliver deeply integrated vision AI solutions enabling customers to leverage Google Cloud infrastructure security, privacy, and scalability with unified procurement and administration. About Plainsight Plainsight provides the unique combination of AI strategy, a vision AI platform, and deep learning expertise to develop, implement, and oversee transformative computer vision solutions for enterprises. Through the widest breadth of managed services and a vision AI platform for centralized processes and standardized pipelines, Plainsight makes computer vision repeatable and accountable across all enterprise vision AI initiatives. Plainsight solves problems where others have failed and empowers businesses across industries to realize the full potential of their visual data with the lowest barriers to production, fastest value generation, and monitoring for long-term success.

Read More

AI TECH,GENERAL AI

Aetina Launches New ASIC-Based Edge AI System Powered by Blaize

Aetina | December 08, 2022

Aetina, an edge AI solution provider that offers embedded computing hardware and software for AI and IoT, has launched a new ASIC-based edge AI system powered by the programmable Blaize® Pathfinder P1600 Embedded System on Module (SoM). The Aetina AI inference system—AIE-CP1A-A1—is a small-sized embedded computer designed for different computer vision applications, including object detection, human motion detection, and automated inspection. The AIE-CP1A-A1 model features the small form factor Blaize® Pathfinder P1600 Embedded SoM, ideal for rugged and challenging environments and embedded systems that need extended temperature ranges. It features Dual ARM Cortex A53 processors, 16 GSP cores providing 16 TOPS AI performance, and the benefits of low memory bandwidth and low latency, making it capable of accelerating neural network (NN) deployment and deep learning (DL) process. Based on the Blaize Graph Streaming Processor (GSP®) architecture, the Pathfinder enables energy-efficient processing power ideal for AI inferencing workloads at the edge, easily plugs into a custom carrier board, and runs autonomously or integrated within a larger system. Due to its compact, fanless design and multiple I/O ports, the AIE-CP1A-A1 can fit both commercial and industrial-grade AI-powered systems that involve vision AI-related inference. The Blaize Pathfinder also supports H.264/H.265 video encoder and decoder, making it compatible with different sensors to run quick image recognition and video analytics tasks. Aetina offers customized carrier boards and computer cases for sophisticated system integration and chip-down design service to provide other kinds of embedded computing models, such as single-board computer (SBC) with the Blaize Pathfinder in addition to regular box PCs. Moreover, Aetina helps developers convert their AI inference models to a format that can run and function normally on edge devices built with ASIC chips. “We are now expanding our edge computing product line to bring more GPU and ASIC-based solutions to help developers build their AI systems in various verticals and industries. “The AIE-CP1A-A1 model, powered by Blaize Pathfinder P1600 SoM, is our first ASIC-based system. In the future, by integrating different types of chips and modules, we can offer heterogeneous computing devices that are suitable for different AI models.” Jackal Chen, Senior Product Manager at Aetina Keeping AI processing and inferencing workloads at the edge, rather than sending data to the cloud, is critical for cost-effective and almost latency-free AI applications," said Dinakar Munagala, CEO and Co-founder of Blaize. "The Pathfinder SoM and our GSP architecture enable this key business objective for the demands of computer vision applications, including object detection, autonomous optical inspection, robotics, and more." Additionally, Aetina is now developing more ASIC-based AI accelerators with M.2 and EDSFF specification for developers, speeding up the inference processes of their AI models at the edge. About Blaize Blaize is a leading provider of a proprietary purpose-built, full-stack hardware architecture and low-code/no-code software platform that enables edge AI processing solutions at the network’s edge for computing in multiple large and rapidly-growing markets — automotive, mobility, retail, security, industrial automation, medical devices, and many others. Blaize’s novel solution solves the technical problem that edge AI processing requires across those verticals — very low latency and high thermal and power efficiency — which previously relied on retrofitting sub-optimized AI solutions designed more for data centers and the cloud. Blaize has previously raised over $180MM from strategic investors such as DENSO, Daimler, Magna, and Samsung, and financial investors such as Franklin Templeton, Temasek, GGV, and others. With headquarters in El Dorado Hills (CA), Blaize has teams in San Jose (CA) and subsidiaries in Hyderabad (India), Manila (Philippines), and Leeds and Kings Langley (UK), with 300+ employees worldwide. About Aetina Aetina Corporation, founded in 2012 in Taipei, Taiwan, is a leading provider of state-of-the-art AI solutions involving high-performance edge computing hardware and low-code/no-code software to help developers build different AI verticals quickly. With a focus on the global AI market, Aetina is committed in delivering professional longevity services to solve the developers’ pain points and speed up their AI adoption processes.

Read More

AI TECH,GENERAL AI,SOFTWARE

Spiro.AI Content Generator for Customer Interactions

Spiro.AI | December 06, 2022

Contents 1. Functions of Spiro.AI Content Generator for Customer Interactions 2. Monitoring AI-generated Customer Interactions Generative Pre-trained Transformer 3 (GPT-3) is one of the most powerful OpenAI Application Programming Interfaces (APIs) for creating human-like text using artificial intelligence (AI). Using AI, businesses can improve their customer interactions by implementing an AI to collect all their customer interaction data together. In this regard, Spiro.AI has designed an AI content generator called the Spiro AI Engine that takes care of interactions such as voice, text, and emails. 1. Functions of Spiro.AI Content Generator for Customer Interactions: Over a period of time, companies generate a lot of customer interaction data, and they want their best customer interactions and resolutions to be synthesized by the AI for everyone to access quickly. This AI is capable of performing the most crucial customer communications, such as Customer support call transcription Making a call summary that writes down everything that was said about the topic, Putting together emails based on phone calls and texts that help you remember the main points of conversations, Classifying and tagging emails with different topics based on the interactions they had and Summarizing groups of emails as per the tagged topics. 2. Monitoring AI-generated Customer Interactions: Quality customer interactions can happen when the AI acts within the framework of customer service regulations. When the volume of customer interactions via AI increases without a regulated approach, it can become a problem. However, AI generators for customer interactions promise business scalability if they remain under control and remain within the set of established rules. “According to Servion, 95% of customer interactions will be AI-based by 2025.” The future of AI-enabled customer interactions looks bright, as these are increasingly becoming streamlined and adaptive to the customer’s pain points. This helps companies deliver a quality customer experience throughout all the communication channels.

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