The cloud was initially launched on the Internet in the late 1990s. During that time, the cloud was very different from today’s developed offerings.    Only in the mid-2000s, the cloud, which we see today, was launched by e-commerce retailers like Amazon and virtual services like Google Docs.     Since then cloud computing has only deepened its roots in the virtual world and started evolving. By 2021, many experts predict that 94% of the internet’s workload processing will rely on cloud computing, with companies switching almost all their operations to the cloud.    Through the years, this progress of cloud has made it a crucial technology required in the business process. If your company is also relying on this breathtaking technology and wants to be at the top of the game. We have bought the future technology trends in cloud computing.    This blog will also update you about the latest cloud computing trends and upcoming cloud technologies you should know in 2021. Still, with us, keep reading.     1. AI and ML Adoption    Artificial Intelligence (AI) and Machine learning (ML) technologies are among the top cloud computing trends that we are expecting to see growth in 2021.     Though many businesses are already utilizing the technologies, AI and …

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Introduction Quantum computing holds the potential to revolutionize AI despite still being in its early phases. Companies like Microsoft, IBM, Google, and Honeywell have already invested in technology to create many innovations and breakthroughs.    But, before we get our hands dirty, lets us first understand:     What is Quantum Computing?     Well, quantum computing is quite similar to traditional computing as it relies on bits to encode information. But what makes quantum computing unique is its version of bits, also called a qubit.   Qubit makes quantum computing revolutionary as it can have information in multiple states at the same time. This results in the effects of quantum mechanics, such as entanglement and superposition.    And, if you are wondering, yes, this is the spooky world of Schrodinger’s cat, both alive and dead.   According to Dr. Jay Gambetta, vice president of IBM Quantum, “Quantum computing is a new kind of computing, using the same physical rules that atoms follow to manipulate information.”    “At this fundamental level, quantum computers execute quantum circuits—like a computer’s logical circuits, but now using the physical phenomena of superposition, entanglement, and interference to implement mathematical calculations out of the reach of even our most advanced supercomputers.”   Quantum computers …

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According to a report from Politico, Clearview AI might soon receive a US patent for its facial recognition technology.   Reportedly, the company was sent a “notice of allowance”, meaning after the payment of required administration fees the company will have its patent, by the US Patent and Trademark Office.  The company has built its facial recognition database by leveraging images across social media (and the internet). This has practically landed the company steeped in controversy.   The patent application has details the use of a “web crawler”, noting that “online photos associated with a person’s account may help to create additional records of facial recognition data points,” to acquire images.  However, critics have argued that the company’s facial recognition is a privacy violation. They have even said that it may have negative impact on minorities. Reportedly, the tech is less accurate when identifying people of color, leading to potential false arrests.  Last year, American Civil Liberties Union sued them for Illinois Biometric Information Privacy Act violation. In November, the Australian government ordered them to clear its citizen database, while European agencies filed complaints.   Clearview AI has failed to get Big Tech on its good side. Last year, Facebook, Twitter, LinkedIn, YouTube had all sent desist letters demanding the company to stop scraping images from their platforms, as it violates site’s policies.  Read Also : Google Might be Making its First In-house Smartwatch Due in 2022

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Today, SocialMiningAi, an artificial intelligence-powered customer acquisition platform, announced the launch of Engagements, an all-new automated testing platform. The platform is designed to automate consistently delivering touchpoints for customers and other prospects. The new dynamic Ai texting platform will set the stage for a robust roadmap of Ai-centered innovations for the dealer.  “SocialMiningAi is incredibly excited about its most recent release to bring a fully automated and dynamic Ai driven texting platform to service the automotive industry we all love! You must experience Engagements to fully appreciate just how intuitive and robust the solutions it provides to everyday problems for dealers and their employees.”   “Now with Engagements you let SocialMiningAi do the heavy lifting, sift through the lookers, and get to truly qualified inquiries,” said SocialMiningAi’s Founder & CEO, Greg Cooper.  Engagement automates repetitive, mundane, and time-consuming touchpoints especially those that require the dealership’s time, energy, and effort. The platform empowers the dealer to focus their energy on the most crucial and engaging opportunities. It also provides them with bulk texting campaigns at scale and texting one-on-one conversations.  “Texting has become the most effective way for dealers to communicate with their customers. Not only do we find unique opportunities from all social …

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Hypefactors, a SaaS company delivering unified solutions, has launched next-gen Reputation Artificial Intelligence on September 20. Hypefactors incorporate the latest scientific advances in NLP to deliver unprecedented precision, accuracy, and automation to end-users through algorithmic advances in machine learning. Additionally, they drastically increased data accuracy by recruiting an in-house linguists team with diverse language and cultural backgrounds. Hypefactor’s core is AI Reputation tracking that enables large-scale tracking from traditional and digital media outlets across the world in real-time. These insights can reveal early-stage opportunities and ongoing protective measures to pre-empt shitstorms. 4th gen AI is a leap from the previous generations as it is 2x in size and architecturally more sophisticated. It is built using 2x more data whereas the 3rd gen AI was primarily developed for serving PR/Communications use cases. The latest-gen AI can not only serve business areas such as Risk Management, Finance, and Market Intelligence. It will automatically activate existing and new clients and offer upcoming API solutions to be launched in Q4/2021. Here, the Hypefactors global media database, automation, and enrichments will be integrated into other existing IT platforms and infrastructure to make the technology available for more users and provide additional revenue. Read Also: TulsaLabs to Develop …

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AppSwarm, a software development company, has recently announced that they have been retained by GTX Corp, a pioneer in health wearable technology, to develop ‘health analytics.’ Health analytics will assist in potentially extending the human life span with the help of artificial intelligence.  Chris Bailey, the CEO of AppSwarm, stated that “We are very excited at the idea of utilizing artificial intelligence and wearable data to help people live better and even possibly longer lives. Through predictive analytics, users will be able to find the best course of action for health on an individual basis.”   “Developing personalized health data will assist users in avoiding some of the more common causes of metabolic diseases and help increase the quality-of-life for individuals, and society.”  Clinical data analytics involves the exploration of crucial insights from patient data which is collected from wearables. Different body parts can be employed for wearables such as eye-based, head-based, foot-based, and wrist-based.   TulsaLabs will leverage the data generated from these devices to develop cloud-based analytics. This will analyze and monitor health data through long-term dataset development powered by artificial intelligence.   Also Read: Allganize Launches New AI Solution to Automates Business Workflows Then, the AI platform will help look for patterns and trends that can then be offset with lifestyle adjustments. This will help users prevent some of the most common metabolic diseases such as heart disease, diabetes, and obesity.  Patrick Bertagna, the CEO of GTX Corp, commented, “One thing COVID …

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Introduction In today’s technology-based world, both Artificial Intelligence and Machine Learning have immensely expanded among various business organizations just in the same way as software development has occurred. With the assistance of Data Science tools and frameworks, we can easily handle huge amounts of datasets, gain necessary information from those and decide which algorithm is best suited for which model. Noting that Machine learning in the field of Data Science has become the hottest job of the 21st century and providing plenty of opportunities to both experienced developers and fresh IT graduates, all programmers are trying to learn and update themselves with the latest programming and coding stuff. In this particular blog, we have shortlisted the top 20 Data Science Tools which are available so that we can build and develop much better model solutions for our software. This blog will turn out to be an ultimate guide for increasing your knowledge and help you explore the world of Data Science, as the rundown of machine learning tools is only the beginning and will keep on being refreshed. Along these lines, without much delay we should start: 1. TensorFlow: It is considered to be one of the outstanding Machine Learning …

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Today, NVIDIA announced that they are turbocharging their NVIDIA HGX™ AI supercomputing platform with new technologies. They are fusing AI with high-performance computing to make supercomputing more useful.   The company has added three key technologies: the NVIDIA® A100 80GB PCIe GPU, NVIDIA NDR 400G InfiniBand networking, and NVIDIA Magnum IO™ GPUDirect™ Storage software to its HGX platform to accelerate the new era of industrial AI and HPC.    Some companies using the NVIDIA HGX platform for next-generation systems and solutions are Atos, Hewlett Packard Enterprise (HPE), Dell Technologies, Lenovo, Microsoft Azure, and NetApp.  Also Read: AI Based Drug Development Platform, Insilico Medicine Raised $255 million in Series C Financing  Jensen Huang, founder, and CEO of NVIDIA “The HPC revolution started in academia and is rapidly extending across a broad range of industries. Key dynamics are driving super-exponential, super-Moore’s law advances that have made HPC a useful tool for industries.”   “NVIDIA’s HGX platform gives researchers unparalleled high-performance computing acceleration to tackle the toughest problems of the industries face.”   NVIDIA’s HGX platform is currently being used by high-tech industrial pioneer General Electric. They are applying HPC innovation to computational fluid dynamics simulations. This stimulation will guide the design innovation in large gas turbines and jet engines.    “The HGX platform has …

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Today, NVIDIA and Google Cloud have announced their new partnership. Their partnership aims to establish the industry’s first AI-on-5G Innovation Lab.   The lab will enable players in network infrastructure and AI software to develop, test, and adopt new solutions to accelerate the creation of smart factories, cities, and other advanced AI and 5G applications.   The new lab will give enterprises access to Google Cloud’s Anthos platform and NVIDIA accelerated computing platforms. This will let them harness data and AI to improve operational efficiency, drive business performance, and optimize safety and reliability.    Also Read:  AI-Based Drug Development Platform, Insilico Medicine Raised $255 million in Series C Financing Ronnie Vasishta, senior vice president of Telecom at NVIDIA, said “The global telecommunications industry is undergoing a sweeping transformation as the speed and low latency of 5G create unprecedented opportunities to deliver AI-on-5G at the enterprise edge. Our collaboration with Google Cloud will help network operators and infrastructure players conceive and create new profit centers built on AI and machine learning.”   In April, NVIDIA announced that it is teaming up with Google Cloud, Fujitsu, Radisys, Mavenir, and Wind River to develop solutions for NVIDIA’s AI-on-5G platform.    Now, Google Cloud is extending its Anthos application platform to allow telecommunications service providers to rapidly …

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Nvidia’s New Canvas tool, which is now available as a beta-free version, is a real-time painting tool GauGAN that can be used by anyone with an NVIDIA RTX GPU. It allows creators to create a rough landscape by painting blobs and then it fills it with convincingly photorealistic content.   Each distinct color on the tool represents a different type of feature: water, mountains, grass, ruins, and others.    The crude sketch is passed to a generative adversarial network when colors are blobbed onto the canvas. GANs essentially pass content to AI creator that tries to make a realistic image. After that, the detector AI evaluates how realistic that image is. Together, they make a fairly realistic depiction of what was suggested.   It is a prototype of GauGAN which was shown at CVPR in 2019. It is much more user-friendly, smoother around the edges, can run on any Windows computer, and produces better imagery with a decent Nvidia graphics card.   However, unlike Google’s Chimera Creator, this app is run locally and requires Nvidia video.   The tool aims to create realistic faces, animals, and landscapes. However, there is usually some kind of “tell” that can be spotted in the picture. But, it’s important to note that the Canvas …

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