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Sourcea: news.mit.edu In June, OpenAI unveiled the largest language model in the world, a text-generating tool called GPT-3 that can write creative fiction, translate legalese into plain English, and answer obscure trivia questions. It’s the latest feat of intelligence achieved by deep learning, a machine learning method patterned after the way neurons in the brain process and store information. Read More

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Source: enterpriseai.news Researchers from George Washington University have reported an approach for building photonic tensor cores that leverages phase change photonic memory to implement a neural network (NN). Their novel architecture, reported online in AIP Applied Physics Review last week, promises both performance gains and power advantages over traditional GPUs and other tensor core devices. Read More

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Source: techwireasia.com Nokia is setting up a robotics lab at the Indian Institute of Science for Research. Dubbed the ‘Nokia Centre of Excellence for Networked Robotics’, the center will serve as a hub for research into robotics, advanced communication technologies and artificial intelligence (AI). A particular focus will be the development of “socially relevant” use cases Read More

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Source: aithority.com Jacobs leverages the power of digitization to help facilitate the safe return to on-premise work environments providing location-aware technology and automated intelligence supporting COVID-19 contact tracing efforts in the event of an outbreak. Jacobs’ ion is an Industrial Internet of Things (IIoT) data integration and visualization platform built on an open API framework to easily integrate with existing Read More

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Source: cio.economictimes.indiatimes.com As most of you are aware, the Digital Transformation (DT or DX) mainly helps the organization to enable rapid innovation in launching and rolling out new business models, products, optimize business processes, and respond to new requirements of both external and internal customers (i.e. Internal functions & employees). While achieving the above goals is comparatively Read More

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Source: ‘Big Data’ has become a staple of scientific endeavour. The phrase crops up repeatedly in common parlance. It has become a buzzword synonymous with scientific effort, experimental complexity and data reliability. This is because the field of ‘Big Data’ offers ways how to deal with large datasets often originating from different experiments. For example, Read More

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Source: pressroom.today The quantum of data generated, stalls the performance of traditional machine learning methods on a standstill, calling for enhanced reinforcement learning models such as deep learning – capable of training large neural networks. Building Deep Learning Neural Networks in Critical Infrastructure (CI): The process of Deep Learning such as classification, detection & localisation Read More

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Source: expresscomputer.in What’s your assessment of the Covid-19 disruption, in terms of the challenges and opportunities for the B2B e-commerce vertical?Covid-19 has proved to be a watershed moment for the online commerce industry. It has brought unprecedented disruption, tested the resiliency of business models and accelerated the pace of digital transformation. Lockdowns did pose a Read More

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Source: enterprisetimes.co.uk A monolithic architecture is one built from a single piece of material; therefore, a monolithic application has a single code base with multiple modules that are divided into business features and technical features. Microservices is an architecture used to separate a monolithic application into several independent services. A microservice application consists of a Read More

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Source: labpulse.com A deep-learning system developed at Google outperformed general pathologists for Gleason grading of prostate cancer biopsies, company researchers reported in JAMA Oncology online July 23. The research comes from a deep-learning/artificial intelligence (AI) research team at Google Health in Palo Alto, CA. For the study, performance of the deep-learning system and general pathologists were compared Read More

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Source: techexplorist.com In industrial settings, robots often are used for tasks that require repetitive grasping and manipulation of objects. Soft robotic grippers and actuators have attracted increasing attention due to safer and more adaptable human-machine and environment-machine interactions than their rigid counterparts. Now, a team of engineers at Michigan State University has designed and developed a novel Read More

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Source: sciencebusiness.net New legislation is needed for “high-risk” applications of artificial intelligence (AI), in the view of a slim majority of companies that responded to a recent European Commission consultation. The commission on Friday published an overview of the 1,215 responses it received on possible AI legislation, which show a wide mix of opinions on Read More

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Source: aithority.com Himax Technologies, Inc., a leading supplier and fabless manufacturer of display drivers and other semiconductor products, announced the launch of WiseEye WE-I Plus HX6537-A solution that supports Google’s TensorFlow Lite for Microcontrollers. In this collaboration, Himax is providing the HX6537-A processor with NN (neural network) based SDK (Software Development Kit) for developers to Read More

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Source: aithority.com Intel’s Deep Learning Boost Technology (Intel DL Boost) is now the central feature of new general purpose and memory-optimized Azure Virtual Machines (VM). Microsoft has announced that the new Azure VMs are based on the second generation Xenon Platinum Cascade Lake (8272 CL) configuration, capable of running at 2.5 GHz and all-core turbo Read More

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Source: analyticsinsight.net Looking at quantum computing-fueled applications of the future, we much of the time look to the innovation’s capability to take care of computationally-intensive mathematical problems, which could lead to breakthroughs in drug discovery, logistics, cryptography, and finance. A research paper by Bernhard Dieber and different scholastics entitled Quantum Computation in Robotic Science and Applications, Read More

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Source: bitboycrypto.com Ethereum might be the second most valued cryptocurrency, but its platform certainly is the first option when it comes to Decentralized Applications (DApps) development. Even in a market that has seen newer platform such as EOS, TRON, Hedera, and Hyperledger, Etheriums has consistently occupied the first place as the dominant force when it Read More

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Source: bloombergquint.com A group of robotics experts at Singapore’s Government Technology Agency (GovTech) is working on a robotics technology stack that is set to unify the fragmented landscape of software development tools used to write robot software. That landscape is being dominated by the Robotic Operating System (ROS) framework from the open source community, Nvidia’s Isaac platform, and customised Read More

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Source: analyticsinsight.net The rapid advances of Artificial Intelligence, Robotics, and other technologies have a huge impact on economies around the world. Modern businesses realize the significance of AI for their future growth and prosperity, investing heavily in digital technologies. This is why countries in the Middle East, majorly including the UAE, Saudi Arabia, Egypt, and Qatar, Read More

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Source: newstatesman.com In May 2003, the venture capitalist Peter Thiel and four co-founders launched the data-mining company Palantir. Named after an all-seeing crystal ball in JRR Tolkien’s The Lord of the Rings, and initially partially funded by the CIA, the company has secured a series of contentious but lucrative public sector contracts in the US, Read More

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Source: forbes.com Five years ago, the words “artificial intelligence” and “machine learning” were on everyone’s lips. Today, these technologies form a core part of how companies do business. Because technology is ever-evolving, there will always be new tech emerging on the horizon. However, the past has shown us that not every emerging technology can remain Read More

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Source: analyticsindiamag.com Data science internships provide opportunities to learn from the pros, gain practical experience and build a strong professional network. But, getting a data science internship is not straightforward, you need to showcase your expertise and enthusiasm to work for the company. Firstly, one would require a strong foundation of data science concepts. Then Read More

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Artificial Intelligence