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Most Important Skills Required For IT Professionals in AI and Machine Learning - IMC Grupo

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The next digital frontier in the IT world is? The one that is your opponent in PUBG(or other interactive games), that allows you to ask Google to make calls for you, that reminds you to make your insurance paid, suggests what to purchase from your favorite eCommerce site, and suggests movies over Netflix. We are surrounded by Artificial Intelligence and Machine Learning applications so extensively that we don't even realize their presence. When Facebook recommends friends or groups to you, it is AI working behind the scenes. When Google listens to you and acts as per your command, it's ML and AI working.


DeepMind wants to use its AI to cure neglected diseases

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In November 2020, Alphabet-owned AI firm DeepMind announced that it had cracked one of biology's trickiest problems. For years the company had been working on an AI called AlphaFold that could predict the structure of proteins – a challenge that could prove pivotal for developing drugs and vaccines, and understanding diseases. When the results of the biennial protein-predicting challenge CASP were announced at the end of 2020, it was immediately clear that AlphaFold had swept the floor with the competition. John Moult, a computational biologist at the University of Maryland who co-founded the CASP competition, was both astonished and excited at AlphaFold's potential. "It was the first time a serious scientific problem had been solved by AI," he says.


The Workforce of the Future: Powered by AR & AI-Built Knowledge Networks

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According to a 2020 report by Emergence, 80% of the global workforce does not sit behind a desk. According to a 2020 report by Emergence, 80% of the global workforce does not sit behind a desk. That’s an overwhelming majority of workers who are deskless and increasingly reliant on technology to do their jobs in industries impacted by factors like the growing skills gap and, most recently, a global pandemic. While employers have done much to address the needs of deskless workers over the past year, there’s untapped opportunity to make these workers – and, in turn, the industries they support – more efficient, resilient, and safe in the current working environment and beyond. On Wednesday, June 23, Rolls Royce’s XXX will join industry experts YYY from PwC and ZZZ from Librestream to teach enterprises about the power of Augmented Reality (AR) and Artificial Intelligence (AI) to enable deskless workers around the world and build knowledge networks capable of sustaining the deskless workforce for decades to come. In this webinar, you will learn: Why traditional deskless worker solutions have fallen short at a time when effective remote collaboration is of peak importance How AR plus AI can improve knowledge sharing among distributed workforces, reduce knowledge loss, eliminate inefficiencies, enhance safety, improve sustainability, lower costs, and more Real-world use cases of AR and AI on devices like Microsoft’s HoloLens and the generated ROI Why organizations with large deskless workforces prefer solutions like Librestream’s AI Connected Expert Vision: Broad device support, specialized accessories, etc. Realizing true IoT: Where AI and AR converge to create the fully connected, deskless worker of tomorrow


CloudCommerce Uses Artificial Intelligence to Deliver Winning Solution for Energy in Focus

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SAN ANTONIO, June 22, 2021 (GLOBE NEWSWIRE) -- CloudCommerce, Inc. (CLWD), a technology driven provider of digital advertising solutions, today announced that SWARM, the Company's AI-driven advertising solution, reduced media costs by more than 60% for Energy in Focus, a web based platform that showcases diverse information on energy in California. Based on the first-round results, the client has committed to a second round. Energy in Focus turned to CloudCommerce to better understand which creative initiatives would be best for their different audiences, such as b2b partners and its public advocacy audience. SWARM analyzed the top 5 previous posts from Facebook and used artificial intelligence to develop creative variations which ran on other media platforms. The result: the cost was reduced by more than 60%.


What is RPA? – How it Works and Why It Needs to be a Part of Your Organization? - Opteamix

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Robotic Process Automation (RPA), as the name states, involves the use of technology to automate repetitive, rule-based business processes which involves filling in the same information in multiple places, reentering data, or copying and pasting. This preconfigured software system uses predefined activity choreography and business logic to automatically execute transactions, complete tasks, share information, or do a combination of these actions. It enables organizations to achieve cost efficiencies by streamlining processes and enhancing accuracy. By handing over mundane tasks to machines it enables humans to focus on work that requires judgment, creativity, and interpersonal skills rather than on routine processes. Since RPA is a preconfigured software application, it can be used'straight out of the box'.


New machine learning methods could improve environmental predictions

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IMAGE: A new machine-learning method developed by researchers at the University of Minnesota, University of Pittsburgh, and U.S. Geological Survey will provide more accurate stream and river temperature predictions, even when... view more Machine learning algorithms do a lot for us every day--send unwanted email to our spam folder, warn us if our car is about to back into something, and give us recommendations on what TV show to watch next. Now, we are increasingly using these same algorithms to make environmental predictions for us. A team of researchers from the University of Minnesota, University of Pittsburgh, and U.S. Geological Survey recently published a new study on predicting flow and temperature in river networks in the 2021 Society for Industrial and Applied Mathematics (SIAM) International Conference on Data Mining (SDM21) proceedings. The study was funded by the National Science Foundation (NSF). The research demonstrates a new machine learning method where the algorithm is "taught" the rules of the physical world in order to make better predictions and steer the algorithm toward physically meaningful relationships between inputs and outputs.


AI@EIF 2021: Artificial Intelligence and Machine Learning

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The ARC Industry Forum Europe 2021 "Accelerating Digital Transformation in a Post-COVID World" was held as a virtual event due to the ongoing epidemic. The digital event attracted participants from all sectors of industrial production. In this series of blogs, we are presenting the highlights from our forum. You would like to watch a session again or missed one? The presentation and panel discussion videos are now available on ARC Industry Forum Europe 2021 (vfairs.com)until


Robot farmers could improve jobs and help fight climate change – if they're developed responsibly

Robohub

Farming robots that can move autonomously in an open field or greenhouse promise a cleaner, safer agricultural future. But there are also potential downsides, from the loss of much-needed jobs to the safety of those working alongside the robots. To ensure that the use of autonomous robots on farms creates more benefits than losses, a process of responsible development is required. Society as a whole needs to be involved in setting the trajectories for future farming. We are part of a project called Robot Highways, which is currently demonstrating multiple uses for autonomous robots made by Saga Robotics on a fruit farm in south-east England.


Past and Current Regulations around Artificial Intelligence in SaMD

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Editor's note: This is the second part of a two-part series. The first installment can be found here. The first part installment in this series examined the benefits of Artificial Intelligence/Machine Learning (AI/ML) and noted the considerations that regulatory bodies are studying for use with AI/ML algorithms. The second and final installment explores the past and current regulations, and summarizes the latest framework proposed by the U.S. Food and Drug Administration's (FDA). While current guidance around AI/ML implementation in medical devices is lacking, the FDA is working to solve the problem.


Machine learning aids earthquake risk prediction

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Our homes and offices are only as solid as the ground beneath them. When that solid ground turns to liquid--as sometimes happens during earthquakes--it can topple buildings and bridges. This phenomenon is known as liquefaction, and it was a major feature of the 2011 earthquake in Christchurch, New Zealand, a magnitude 6.3 quake that killed 185 people and destroyed thousands of homes. An upside of the Christchurch quake was that it was one of the most well-documented in history. Because New Zealand is seismically active, the city was instrumented with numerous sensors for monitoring earthquakes.