AI APPLICATIONS

Entropik Introduces Ground-breaking Eye Tracking Technology

Entropik Tech | November 10, 2021

Entropik Tech, the world leader in Emotion AI, today announced the launch of the first multi-platform eye tracking technology that works on both web and mobile devices. Using tracking through web and mobile cameras, the innovative eye tracking technology is accurate, agile, and easy-to-use. Using AI and ML technologies (solving for regular issues like lighting and camera quality), Entropik's eye tracking technology maintains an accuracy rate of over 96%. Moreover, it is built for enterprise-scale integration that enables brands to conduct multiple tests and leverage online respondents across 120 countries.

Entropik's eye tracking technology will also be available for external integration through web and mobile Software Development Kits (SDKs), enabling developers and companies to measure eye gaze data at an unprecedented scale. Eye gaze data is used to identify and analyze patterns of visual attention of individuals as they perform specific tasks, and it provides brands and agencies with important data about consumer preferences and behaviour.

Intuitive and fast paced, eye tracking data is calibrated in just a few seconds. Advanced AI-based Neural Network algorithms capture eye movement in real-time and seamlessly synchronize the data with Entropik's Consumer Insights platform, which provides a guide to interpreting eye tracking data and translating it into actionable insights. While maintaining a high accuracy rate, Entropik's software-based eye tracking technology is more affordable and less labor intensive than hardware-driven eye tracking technology.

"The launch of this new technology helps brands unlock the potential of next generation eye tracking modules and enables brands to get precise user and customer metrics that can lead to better business decisions and superior consumer experiences."

Ranjan Kumar, Founder, and CEO, Entropik Tech

The eye tracking market is estimated to grow from $368 million in 2020 to $1,098 million in 2025, tripling in just five years. There is a high and growing demand for eye tracking technology throughout a wide number of sectors today including media, research, ecommerce, ed-tech, and more.

Operating across the US, South Asia, Southeast Asia, European Union and Middle East Asia, Entropik Tech has helped brands leverage Emotion AI technologies to deliver superior experiences to their customers. The new eye tracking technology announced today is available as a SAAS (Software as a Service) module, as are Entropik's existing facial coding and brainwave mapping technologies.

About Entropik Tech
Entropik is the world's premier Emotion AI platform, offering AI-enabled emotion recognition technologies. Entropik's proprietary Consumer Insights platform – Affect Lab – allows brands to measure consumer's subconscious preferences toward Marketing, Brand, and Product experiences. Entropik provides behavioural insights to over 150 enterprise clients in Telecom, BFSI, Media, CPG, FMCG, and Entertainment industries worldwide. Headquartered in India, the company has a business presence across the EU, North America, Middle East, and SE Asia.

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FUTURE TECH

Intel Open-Sources SYCLomatic Migration Tool

Intel | May 21, 2022

Intel has released an open source tool to migrate code to SYCL1 through a project called SYCLomatic, which helps developers more easily port CUDA code to SYCL and C++ to accelerate cross-architecture programming for heterogeneous architectures. This open source project enables community collaboration to advance adoption of the SYCL standard, a key step in freeing developers from a single-vendor proprietary ecosystem. “Migrating to C++ with SYCL gives code stronger ISO C++ alignment, multivendor support to relieve vendor lock-in and support for multiarchitecture to provide flexibility in harnessing the full power of new hardware innovations. SYCLomatic offers a valuable tool to automate much of the work, allowing developers to focus more on custom tuning than porting,” said James Reinders, Intel oneAPI evangelist. Why It Matters While hardware innovation has led to a diverse heterogeneous architectural landscape for computing, software development has become increasingly complex, making it difficult to take full advantage of CPUs and accelerators. Today’s developers and their teams are strapped for time, money and resources to accommodate the rewriting and testing of code to boost application performance for these different architectures. Developers are looking for open alternatives that improve time-to-value, and Intel is providing an easier, shorter pathway to enabling hardware choice. What is SYCL and Project SYCLomatic SYCL, a C++-based Khronos Group standard, extends C++ capabilities to support multiarchitecture and disjoint memory configurations. To initiate this project, Intel open-sourced the technology behind its DPC++ Compatibility Tool to further advance the migration capabilities for producing more SYCL-based applications. Reusing code across architectures simplifies development, reducing time and costs for ongoing code maintenance. Utilizing the Apache 2.0 license with LLVM exception, the SYCLomatic project hosted on GitHub offers a community for developers to contribute and provide feedback to further open heterogeneous development across CPUs, GPUs and FPGAs. How the SYCLomatic Tool Works SYCLomatic assists developers in porting CUDA code to SYCL, typically migrating 90-95% of CUDA code automatically to SYCL code2. To finish the process, developers complete the rest of the coding manually and then custom-tune to the desired level of performance for the architecture. How Code Migration Usage Works Research organizations and Intel customers have successfully used the Intel DPC++ Compatibility Tool, which has the same technologies as SYCLomatic, to migrate CUDA code to SYCL (or Data Parallel C++, oneAPI’s implementation of SYCL) on multiple vendors’ architectures. Examples include the University of Stockholm with GROMACS 20223, Zuse Institute Berlin (ZIB) with easyWave, Samsung Medison and Bittware (view oneAPI DevSummit content for more examples). Multiple customers are also testing code on current and upcoming Intel Xe architecture-based GPUs, including Argonne National Laboratory Aurora supercomputer, Leibniz Supercomputing Centre (LRZ), GE Healthcare and others. Where to Get SYCLomatic SYCLomatic is a GitHub project. The GitHub portal includes a “contributing.md” guide describing the steps for technical contributions to the project to ensure maximum ease. Developers are encouraged to use the tool and provide feedback and contributions to advance the tool’s evolution. “CRK-HACC is an N-body cosmological simulation code actively under development. To prepare for Aurora, the Intel DPC++ Compatibility Tool allowed us to quickly migrate over 20 kernels to SYCL. Since the current version of the code migration tool does not support migration to functors, we wrote a simple clang tool to refactor the resulting SYCL source code to meet our needs. With the open source SYCLomatic project, we plan to integrate our previous work for a more robust solution and contribute to making functors part of the available migration options,” said Steve (Esteban) Rangel of HACC (Hardware/Hybrid Accelerated Cosmology Code), Cosmological Physics & Advanced Computing (anl.gov). Resources for Developers SYCLomatic project on GitHub | Contributing.md guide Get started developing: Book: Mastering Programming of Heterogeneous Systems using C++ & SYCL | Essentials of SYCL training CodeProject: Using oneAPI to convert CUDA code to SYCL Intel DevCloud: A free environment to access Intel oneAPI Tools and develop and test code across a variety of Intel® architectures (CPU, GPU, FPGA). Notes 1SYCL is a trademark of the Khronos Group Inc. 2Intel estimates as of September 2021. Based on measurements on a set of 70 HPC benchmarks and samples, with examples like Rodinia, SHOC, PENNANT. Results may vary. 3The GROMACS development team ported its CUDA code to Data Parallel C++ (DPC++), which is a SYCL implementation for oneAPI, in order to create new cross-architecture-ready code. See also Experiences adding SYCL support to GROMACS, and GROMACS 2022 Advances Open Source Drug Discovery with oneAPI. About Intel Intel is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better.

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GENERAL AI

Cogito Announces Updates to Emotion AI Software on Salesforce AppExchange, the World's Leading Enterprise Cloud Marketplace

Cogito | June 15, 2022

Cogito, the leader in real-time coaching and guidance for the enterprise, today announced it has updated its Emotion AI software on Salesforce AppExchange, providing customers new ways to add real-time coaching and guidance cues to the Salesforce Lightning Experience, and to incorporate personalized coaching plans into Service Cloud Workforce Engagement. This integration creates a unified desktop, giving agents more freedom to navigate customer calls without the distraction of multiple tools and systems. Cogito's Emotion AI software extracts over 200 signals from every call, applying AI models that generate real-time cues. The in-the-moment guidance helps agents handle complex interactions, generate personalized coaching recommendations and provides supervisors visibility into agents working from anywhere, including alerts on frustrated callers or burned out representatives. Available on Salesforce AppExchange since 2017, the latest integration provides users a way to generate more informed and more cohesive call experiences. The latest enhancements are designed to further arm agents with real-time support and allow supervisors to manage the workforce more effectively, improving the well-being of employees and customer experiences. “The modern contact center needs more real-time support and insights to enable better conversations, better work experiences and better outcomes at enterprise scale. “We’ve brought together some of the best minds in behavioral science, machine learning, and enterprise technology to create an AI solution that provides real-time emotional intelligence, and offers the right interventions to lift entire customer-facing organizations up. I’m thrilled our team can now offer the enhanced product capabilities seamlessly through the Salesforce Service Cloud integration to better support organizations navigating customer interactions.” Josh Feast, CEO and co-founder of Cogito “We are excited that Cogito is continuing to innovate on AppExchange as they extend the scope of agent well-being to the tools and systems supporting the user experience. Agents should have coaching guidance and customer data in one place to improve the employee experience in tandem with the customer experience," said Woodson Martin, GM of Salesforce AppExchange. "AppExchange is constantly evolving to meet the needs of our customers, and we love watching our partners evolve alongside us." About Salesforce AppExchange Salesforce AppExchange, the world’s leading enterprise cloud marketplace, empowers companies, developers and entrepreneurs to build, market and grow in entirely new ways. With more than 7,000 listings, 10 million customer installs and 117,000 peer reviews, AppExchange connects customers of all sizes and across industries to ready-to-install or customizable apps and Salesforce-certified consultants to solve any business challenge. About Cogito Cogito innovates emotion AI and conversation AI, combining them to provide contact center teams and other frontline customer support professionals insights into not only what is being said but how things are said in phone conversations. Cogito features powerful behavioral and lexical models that provide real-time coaching and guidance to call center agents and sellers, gives front-line supervisors visibility into live conversations of their teams working from anywhere, and continuously monitors customer sentiment. Cogito is used by the largest contact centers including 8 of the Fortune 25, to improve customer conversations and employee well-being. Founded in 2007, Cogito is a venture-backed software company located in Boston, MA.

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GENERAL AI

One AI to Take on Global Language AI Challenge with NLP-as-a-service Platform for Developers

One AI | May 31, 2022

One AI, an NLP-as-a-service startup, empowering developers to embed Language AI in their products, officially launched today. One AI has raised $8M in seed funding from leading angel investors and VCs, including Ariel Maislos, Tech Aviv, Tomer Wiengarten, CEO of Sentinel One. One AI allows developers to seamlessly embed language comprehension into their projects, transforming texts from any source into structured data, with no training data or machine learning knowledge required. To deliver accuracy, predictability and fast time-to-value for concrete product tasks, One AI's Language Skills combine curated and optimized open-source models with models designed by their research team. One AI was founded by serial entrepreneurs and executives. Amit Ben and Aviv Dror, who previously co-founded NanoRep, later sold to LogMeIn (LOGM). Yochai Levi, who has filled executive positions at companies such as WeWork, LivePerson, and Conduit, and Asi Sheffer, who bridges the gap between industry and academia with his past experience in companies like IBM and LogMeIn. "The generation of unstructured data is increasing at unprecedented rates, and the inability to understand it results in negative outcomes that include everything from lost sales, to lower levels of user engagement and loyalty, to reputation damage. "The adoption of language comprehension tools by the broader developer community is the way to overcome it." Amit Ben, Founder & CEO at One AI "Language is the most valuable untapped resource, beyond the reach of most products and companies. This is true to most industries and domains and results in negative outcomes that include everything from lost sales, to lower levels of user engagement and loyalty, to reputation damage." says Yaron Samid, Founder and Managing Partner of TechAviv. "Unleashing Language AI allows us to harness the power of this unstructured data and turn it into useful information and insights." One AI's Language Skills API packages NLP models, trained for concrete business use-cases. Language Skills support input in various formats (text, audio, JSON, video..). Developers can mix-and-match Skills in a single pipeline using One AI's Language Studio – a no-code visual interface – to process texts in a single API call, and can also include O/S and their own models. About One AI One AI is a Language AI service for developers. Our Language Skills enable language comprehension in context, transforming texts from any source into structured data to use in code. No training data or NLP/ML knowledge are required.

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GENERAL AI

PyTorch Lightning Creator, Lightning AI, Launches Open-Source Platform and Raises $40 Million Series B to Reinvent the Way AI is Built

Lightning AI | June 18, 2022

Lightning AI today unveiled the groundbreaking Lightning AI platform, backed by a $40 million Series B funding round, that completely reimagines how Artificial Intelligence (AI) products, services, and experiences are built. With Lightning AI’s new platform and framework, the company is introducing a frictionless way to build AI-powered products and services as apps composed of modular components that are seamlessly integrated and connected. Serving as the “operating system for AI,” Lightning AI’s platform ushers in a new era of accessibility and sophistication in the field of AI technology. The platform and underlying framework introduce a novel way to build AI by providing a unified experience that accelerates the deployment of AI technology across academic and enterprise use cases. Amid a fragmented machine learning ecosystem, Lightning AI’s suite of extensible open-source components and apps simplifies the underserved space and helps advance the widespread adoption of AI technology. “Launching this platform is a vital step for our company and the industry. “From day one, I wanted to reimagine the experience of building artificial intelligence beyond the current surfeit of tools and systems. Until now, there hasn’t been a way to build production-grade AI apps that takes into account the entire pipeline from development to production. Current options are limiting, highly prescriptive, and lack the flexibility needed to leverage AI in real-world scenarios. Imagine wanting to make a phone call and you’re simply handed the disparate parts that make up a working telephone, hoping that one day you’ll be able to make a phone call. Lightning AI takes the principles that have made PyTorch Lightning one of the fastest-growing open-source projects in history - simplicity, modularity, and sustainability - and applies them to the task of unifying the entire AI development and infrastructure lifecycle.” William Falcon, Lightning AI co-founder and CEO Lightning AI is the culmination of work that began in 2018 at the New York University CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) and Facebook AI Research. As a Ph.D. student working alongside advisers Kyunghyun Cho and Yann LeCun, William Falcon created and open-sourced the popular PyTorch Lightning framework. The explosive growth of the project within the AI community led Falcon to build a platform and company focused on eliminating barriers to widespread AI adoption. Grounded in the success of the PyTorch Lightning framework, the company built Grid, a platform for developing and training machine learning models on the cloud. The key to the company’s previous successes has been its unique ability to abstract away engineering infrastructure from the machine learning lifecycle while maintaining rigorous flexibility for experts who want full control over what they’re building. The Lightning AI platform and framework are powered by these groundbreaking advancements, enabling users to conceptualize, build, and deploy AI technology in a matter of weeks, compared to the months and years it would normally take. "We are excited about the development Lightning AI is leading by allowing AI-driven applications relevant to specific verticals come to life in a simple way. The partnership will bring further ease-of-use to customers and fit well with AWS’s industry, use-case and business problem driven approach,” said Dr. Kristof Schum, Global Segment Leader of Machine Learning at Amazon Web Services. $40M Series B Fuels Lightning AI Platform and Community Growth This $40 million Series B funding round, led by Coatue with participation from Index, Bain, First Minute Capital, and the Chainsmokers’ Mantis VC, brings the total raised to date to $58.6 million. Coatue General Partner Caryn Marooney has joined the board of directors, which also includes Index Ventures Partner Bryan Offutt. The capital will fuel further technology innovation, fund new AI research, and be invested back in the company’s growing user community and ecosystem. Lightning AI’s mission is to lower the barriers to AI adoption as the global AI market is skyrocketing and on track to exceed $500 billion by 2024. “As more companies across every sector leverage AI for crucial functions, they need a solution that makes it simple to consume, train, and use AI while also building applications free from vendor lock-in and specialized AI experts,” said Caryn Marooney, General Partner, Coatue. “Coatue immediately saw the potential and significance of Lightning AI’s mission to democratize AI. We look forward to supporting William and his team as they write a new playbook for AI deployment.” The Lightning-Fast Way to Build AI Apps Lightning AI allows researchers, data scientists, and software engineers to build, share and iterate on highly scalable, production-ready AI apps using the tools and technologies of their choice, regardless of their expertise. To solve any kind of AI problem from research to deployment and production-ready pipelines, users can simply group components of their choice into a Lightning App and customize the underlying code as needed. Lightning Apps can then be republished back into the community for future use, or kept private in users’ personal libraries. Lightning AI combines a wide variety of extant tools into a modular, intuitive platform for building AI applications in research, enterprise and personal contexts. It is the foundation of the growing Lightning ecosystem, which provides developers with a suite of ready-to-use tools and required infrastructure and compute resources, as well as community support for building AI applications. The Lightning AI platform is available now and includes: The new Lightning framework, which extends PyTorch Lightning’s simple, modular, and flexible design principles to the entire app development process A collection of tools and functionalities relevant to machine learning, including workflow scheduling for distributed computing, infrastructure-as-code, and connecting web UIs A gallery of AI apps, curated by the Lightning team, which can be used instantly or further built upon A library of components that add functionalities to users’ apps, such as extracting data from streaming video A hosting platform for running and maintaining private and public AI apps on the cloud The ability to build and run Lightning Apps on private cloud infrastructure or in an on-prem enterprise environment About Lightning AI Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, William Falcon launched Lightning AI to reshape the development of artificial intelligence products for commercial and academic use. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Its aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.

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