14 Top Artificial Intelligence APIs

September 29, 2019 | 74 views

Artificial Intelligence (AI) is simulated human intelligence accomplished by computers, robots, or other machines. Sects of AI include language processing, visual recognition, decision-making, speech recognition, conversation, translation, pattern matching and categorization, machine learning, and task accomplishment. Though there are concerns about AI, it is probably the hottest trend in computer science at the moment, with most of the major technology companies, and thousands of startups, offering platforms for AI development. Developers looking to add intelligence to applications can check out the ProgrammableWeb Artificial Intelligence category for the best choices of Application Programming Interfaces (APIs) to tap into and create smarter apps.

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FirstAlign enables you, your team, and your organization to lead with targeted tools supported by a creative, seasoned group of professionals, from diverse disciplines and the Artificial Intelligence space. We work across major industry sectors, public companies, fortune 2000 and government authorities, utilizing startup mindsets in making complexity simple.

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AI TECH

The Revolutionary Power of 5G in Automation and Industry Digitization

Article | July 20, 2022

Fifth-generation (5G) mobile phone networks that can carry data up to 50 times faster than major carriers' current phone networks are now rolling out. But 5G promises to do more than just speed up our phone service and download times. The mobile industry's fifth-generation (5G) networks are being developed and are prepared for deployment. The expansion of IoT and other intelligent automation applications is being significantly fueled by the advancing 5G networks, which are becoming more widely accessible. For advancements in intelligent automation—the Internet of Things (IoT), Artificial Intelligence (AI), driverless cars, virtual reality, blockchain, and future innovations we haven't even considered yet—5 G's lightning-fast connectivity and low-latency are essential. The arrival of 5G represents more than simply a generational shift for the tech sector as a whole. Contributions by 5G Networks For a number of reasons, the manufacturing sector is moving toward digitalization: to increase revenue by better servicing their customers; to increase demand; to outperform the competition; to reduce costs by boosting productivity and efficiency; and to minimize risk by promoting safety and security. The main requirements and obstacles in the digitization industry were recently recognized by a study. Millions of devices with ultra-reliable, robust, immediate connectivity. Gadgets, which are expensive with a long battery life. Asset tracking along the constantly shifting supply chains. Carrying out remote medical operations. Enhancing the purchasing experience with AR/VR. Implementing AI to improve operations across the board or in various departments. The mobile telecommunications requirements of the Internet of Things cannot be met by the current 4G and 4G LTE networks. Compared to current 4G LTE networking technologies, 5G can also offer a solution to the problem and the quickest network data rate with a relatively low cost and greater communication coverage. The 5G network's quick speeds will lead to new technical developments. The upcoming 5G technology will support hundreds of billions of connections, offer transmission speeds of 10 Gbps, and have an extremely low latency of 1 ms. Additionally, it makes rural areas' services more dependable, minimizing service disparities between rural and urban areas. Even though the 5G network is a development of the 4G and 4G LTE networks, it has a whole new network design and features like virtualization that provide more than impressively fast data speeds.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | August 8, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | July 8, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 7, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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Spotlight

FirstAlign Solutions

FirstAlign enables you, your team, and your organization to lead with targeted tools supported by a creative, seasoned group of professionals, from diverse disciplines and the Artificial Intelligence space. We work across major industry sectors, public companies, fortune 2000 and government authorities, utilizing startup mindsets in making complexity simple.

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AI TECH

Oraichain Pte. Ltd. Launches Smart Contracts 2.0 New AI-powered Blockchain Network

Oraichain | February 25, 2021

Oraichain Pte. Ltd., a leading AI-powered oracle and blockchain ecosystem supplier, announced it is to expand into the AI services industry with a new, AI-backed blockchain network. Expansion of the service is the new milestone on Oraichain's journey to becoming an advanced, full-serviced AI ecosystem. With the ability to custom create multiple applications and platforms based upon a transparent, trusted, and secured blockchain for several industry sectors. This new move to launch the new blockchain network referred to as Oraichain Mainnet, adds to Oraichain's plan to expand its suite of AI-based products and services ecosystem, including a Publisher Service, AI Marketplace, Training Service, DATA & Request Hub, and Dapp Hosting. Commenting on their new move, Dr. Chung Dao, CEO, Oraichain Pte. Ltd., said: "Blockchain technology can disrupt traditional sectors suffering decades of inertia. But it needs a boost. We want to push the limits of innovation by being the first to combine Artificial Intelligence and Blockchain to end the stalemate and create new paradigms in day-to-day service interaction". As per Reportlinker, the global blockchain market size is anticipated to grow from $3.0B in 2020 to $39.7B by 2025, at a Compound Annual Growth Rate (CAGR) of 67.3%. However, traditional blockchain oracles have reached a blockage due to an incapability to access data and (Application Programming Interface) APIs in an interoperable, scalable, accurate, and secure manner - This is where AI is used to add value. Boosting Blockchain with AI Introducing AI to the Blockchain arena offers exponential developments in the data processing. By introducing its blockchain network in partnership with its AI ecosystem, Oraichain Pte. Ltd. delivers exclusive infrastructure for artificial intelligence services and consensus mechanisms for Blockchain services and AI training. The distinctive use of AI APIs also lets Oraichain develop and create data on-the-fly via virtual machines on smart contracts, a step-up from the primary function of traditional Blockchain oracles that purely connect everyday data to store securely. The introduction of artificial intelligence allows for the upgrade of blockchain platforms by improving data quality, reliability and security through enhanced test cases on the Oraichain network, avoiding mediators. With this, Oraichain can increase trust and open up unique application functionalities, advancing blockchain and paving the way for a new generation of smart contracts and accelerating Web3, enterprise development applications, and DeFi. Some examples of applications being developed by Oraichain include: • Oraichain artificial intelligence Marketplace, which will give access to AI products and APIs directing to develop the one-stop-shop for AI services. • yAI.finance, the first use case of Oraichain, a platform in the decentralized finance space using exclusive AI-driven features. • aiRight, a patent-pending artificial intelligence-generated copyright system. The key to escalating the Oraichain network will be interoperability, a standout feature of Oraichain's roadmap. Once developed, Oraichain will let for easy and accessible platform approval through bridges to the most popular Blockchain networks, permitting Oraichain to support more decentralized applications. Oraichain Pte. Ltd. has already worked with many industry leaders on everyday use cases, including leading AI virtual assistant development platform, Vaiot and Vietnam-based IT software firm, Rikkeisoft and KardiaChain, a public blockchain. About Oraichain Oraichain is an AI-Powered Oracle and Blockchain Ecosystem. Oraichain data oracle platform aggregates and connects Artificial Intelligence APIs to smart contracts and regular applications. Founded by Dr Chung Dao, Oraichain's mission is to be the portal between AI and blockchain technologies, aiming to revolutionize the AI, DeFi, and Blockchain industries.

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Latest IDG Research Explores Artificial Intelligence & Machine Learning Trends Amid the Pandemic

IDG Communications, Inc. | September 03, 2020

IDG Communications, Inc. – the world’s leading tech media, data, and marketing services company – shares a glimpse into organizational Artificial Intelligence (AI)/Machine Learning (ML) initiatives from the results of a recent IDG MarketPulse survey. The senior level IT executive respondents all noted that their organization is either currently or interested in adopting AI/ML technology. The research reveals organizations’ current activity around AI/ML – whether these technologies are in production or being actively researched, how these technologies will be deployed, and the challenges that are associated with the adoption. The full study will be shared in a moderated conversation during CIO’s virtual event “The New Business Process Mandate: AI & Automation” being held September 15, 16 & 17th.

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New Tolly Group Tests Reveal Impressive Multitenant Performance and Scalability for NGFWs Leveraging Array AVX Series Platforms

Array Networks | June 04, 2019

Array Networks Inc. today announced the results of recent testing by The Tolly Group that benchmarked performance and scaling of industry-leading NGFW virtual appliances (VAs) running as multiple instances on Array’s AVX Series Network Functions Platform. Testing showed that performance improved by up to 86 percent greater than the NGFW manufacturer’s specifications for multiple VAs running simultaneously on the AVX Series. In addition, the tests indicated that per-VA transactions per second (TPS) scaled linearly across small, medium and large instance sizes, and aggregate system throughput and transactions per second across all running instances remained highly consistent.“The lower performance of security VAs running in standard virtual environments has always been one of the downsides of virtualizing these critical networking components,” said Kevin Tolly, founder of The Tolly Group. “Our testing of virtual, or software-defined, next-gen firewalls clearly shows that Array’s AVX Series virtualized, multitenant platform overcomes that obstacle to a virtualization strategy and provides linear scalability for future growth paths.”Security VAs are commonly deployed on commercial off-the-shelf (COTS) hardware in virtual environments that, while providing greater flexibility, use shared resources that can limit performance through contention. A few vendors offer multitenant appliances intended to counter the drawbacks of standard virtual environments, however these solutions often utilize shared resources – with the same performance hit of standard environments – or support only the manufacturer’s VAs.

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AI TECH

Oraichain Pte. Ltd. Launches Smart Contracts 2.0 New AI-powered Blockchain Network

Oraichain | February 25, 2021

Oraichain Pte. Ltd., a leading AI-powered oracle and blockchain ecosystem supplier, announced it is to expand into the AI services industry with a new, AI-backed blockchain network. Expansion of the service is the new milestone on Oraichain's journey to becoming an advanced, full-serviced AI ecosystem. With the ability to custom create multiple applications and platforms based upon a transparent, trusted, and secured blockchain for several industry sectors. This new move to launch the new blockchain network referred to as Oraichain Mainnet, adds to Oraichain's plan to expand its suite of AI-based products and services ecosystem, including a Publisher Service, AI Marketplace, Training Service, DATA & Request Hub, and Dapp Hosting. Commenting on their new move, Dr. Chung Dao, CEO, Oraichain Pte. Ltd., said: "Blockchain technology can disrupt traditional sectors suffering decades of inertia. But it needs a boost. We want to push the limits of innovation by being the first to combine Artificial Intelligence and Blockchain to end the stalemate and create new paradigms in day-to-day service interaction". As per Reportlinker, the global blockchain market size is anticipated to grow from $3.0B in 2020 to $39.7B by 2025, at a Compound Annual Growth Rate (CAGR) of 67.3%. However, traditional blockchain oracles have reached a blockage due to an incapability to access data and (Application Programming Interface) APIs in an interoperable, scalable, accurate, and secure manner - This is where AI is used to add value. Boosting Blockchain with AI Introducing AI to the Blockchain arena offers exponential developments in the data processing. By introducing its blockchain network in partnership with its AI ecosystem, Oraichain Pte. Ltd. delivers exclusive infrastructure for artificial intelligence services and consensus mechanisms for Blockchain services and AI training. The distinctive use of AI APIs also lets Oraichain develop and create data on-the-fly via virtual machines on smart contracts, a step-up from the primary function of traditional Blockchain oracles that purely connect everyday data to store securely. The introduction of artificial intelligence allows for the upgrade of blockchain platforms by improving data quality, reliability and security through enhanced test cases on the Oraichain network, avoiding mediators. With this, Oraichain can increase trust and open up unique application functionalities, advancing blockchain and paving the way for a new generation of smart contracts and accelerating Web3, enterprise development applications, and DeFi. Some examples of applications being developed by Oraichain include: • Oraichain artificial intelligence Marketplace, which will give access to AI products and APIs directing to develop the one-stop-shop for AI services. • yAI.finance, the first use case of Oraichain, a platform in the decentralized finance space using exclusive AI-driven features. • aiRight, a patent-pending artificial intelligence-generated copyright system. The key to escalating the Oraichain network will be interoperability, a standout feature of Oraichain's roadmap. Once developed, Oraichain will let for easy and accessible platform approval through bridges to the most popular Blockchain networks, permitting Oraichain to support more decentralized applications. Oraichain Pte. Ltd. has already worked with many industry leaders on everyday use cases, including leading AI virtual assistant development platform, Vaiot and Vietnam-based IT software firm, Rikkeisoft and KardiaChain, a public blockchain. About Oraichain Oraichain is an AI-Powered Oracle and Blockchain Ecosystem. Oraichain data oracle platform aggregates and connects Artificial Intelligence APIs to smart contracts and regular applications. Founded by Dr Chung Dao, Oraichain's mission is to be the portal between AI and blockchain technologies, aiming to revolutionize the AI, DeFi, and Blockchain industries.

Read More

Latest IDG Research Explores Artificial Intelligence & Machine Learning Trends Amid the Pandemic

IDG Communications, Inc. | September 03, 2020

IDG Communications, Inc. – the world’s leading tech media, data, and marketing services company – shares a glimpse into organizational Artificial Intelligence (AI)/Machine Learning (ML) initiatives from the results of a recent IDG MarketPulse survey. The senior level IT executive respondents all noted that their organization is either currently or interested in adopting AI/ML technology. The research reveals organizations’ current activity around AI/ML – whether these technologies are in production or being actively researched, how these technologies will be deployed, and the challenges that are associated with the adoption. The full study will be shared in a moderated conversation during CIO’s virtual event “The New Business Process Mandate: AI & Automation” being held September 15, 16 & 17th.

Read More

New Tolly Group Tests Reveal Impressive Multitenant Performance and Scalability for NGFWs Leveraging Array AVX Series Platforms

Array Networks | June 04, 2019

Array Networks Inc. today announced the results of recent testing by The Tolly Group that benchmarked performance and scaling of industry-leading NGFW virtual appliances (VAs) running as multiple instances on Array’s AVX Series Network Functions Platform. Testing showed that performance improved by up to 86 percent greater than the NGFW manufacturer’s specifications for multiple VAs running simultaneously on the AVX Series. In addition, the tests indicated that per-VA transactions per second (TPS) scaled linearly across small, medium and large instance sizes, and aggregate system throughput and transactions per second across all running instances remained highly consistent.“The lower performance of security VAs running in standard virtual environments has always been one of the downsides of virtualizing these critical networking components,” said Kevin Tolly, founder of The Tolly Group. “Our testing of virtual, or software-defined, next-gen firewalls clearly shows that Array’s AVX Series virtualized, multitenant platform overcomes that obstacle to a virtualization strategy and provides linear scalability for future growth paths.”Security VAs are commonly deployed on commercial off-the-shelf (COTS) hardware in virtual environments that, while providing greater flexibility, use shared resources that can limit performance through contention. A few vendors offer multitenant appliances intended to counter the drawbacks of standard virtual environments, however these solutions often utilize shared resources – with the same performance hit of standard environments – or support only the manufacturer’s VAs.

Read More

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