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Robotic process automation: This is how to stop your workers from resenting the bots

ZDNet

Adobe CIO Cynthia Stoddard says the introduction of RPA is "a culture change". At a time when good people are tough to find and even harder to keep happy, interest in robotic process automation (RPA) is growing: the technology can automate repetitive tasks and free up talented workers to focus on higher-value tasks that are more rewarding for the business and its staff. Gartner says global spending on RPA software reached $1.58 billion in 2020. The analyst predicts that 90% of large organisations globally will have adopted RPA in some form by 2022. Reimagining business for the digital age is the number one priority of many of today's top executives.


Machine-learning system flags remedies that might do more harm than good

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Sepsis claims the lives of nearly 270,000 people in the U.S. each year. The unpredictable medical condition can progress rapidly, leading to a swift drop in blood pressure, tissue damage, multiple organ failure, and death. Prompt interventions by medical professionals save lives, but some sepsis treatments can also contribute to a patient's deterioration, so choosing the optimal therapy can be a difficult task. For instance, in the early hours of severe sepsis, administering too much fluid intravenously can increase a patient's risk of death. To help clinicians avoid remedies that may potentially contribute to a patient's death, researchers at MIT and elsewhere have developed a machine-learning model that could be used to identify treatments that pose a higher risk than other options.


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New machine learning model to identify treatments that pose a higher risk

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Sepsis is a potentially life-threatening condition, occurs when your body has an unusually severe response to an infection. Some sepsis treatments lead to a patient's deterioration. Hence, selecting the optimal therapy is a challenging task. In recent years, Machine learning has successfully framed many sequential decision-making problems. Scientists at MIT and elsewhere do the same.


Stay updated with Neuroscience: November 2021 Must-Reads

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Can we employ GANs in neuroscience experiments? What's the geometric manifold our memory works and lives in? and can we have a biologically inspired Independent Component Analysis? Why you should care about Neuroscience? Neuroscience is the root for nowadays artificial intelligence . Reading and being aware of the evolution and new insights in neuroscience not only will allow you to be a better "Artificial Intelligente" guy, but also a finer neural network architectures creator!


How to Set Your AI Project Up for Success

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Picking the right AI project for your company often comes down to having the right ingredients and knowing how to combine them. That, at least, is how Salesforce's Marco Casalaina tends to think about it. The veteran artificial intelligence and data scientist expert oversees Einstein, Salesforce's AI technology, and has made a career out of making emerging technologies more intuitive and accessible for all. With Einstein, he's working to help Salesforce customers -- from small businesses to nonprofits to Fortune 50 companies -- realize the full benefits of AI. HBR spoke with Casalaina about what goes into a successful AI project, how to communicate as a data scientist, and the one question you really need to ask before launching an AI pilot.


Edge Artificial Intelligence Market Research Report by Processor, by Component, by Source, by End-Use, by Application, by Region - Global Forecast to 2026 - Cumulative Impact of COVID-19

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GNW The Global Edge Artificial Intelligence Market size was estimated at USD 572.00 million in 2020 and expected to reach USD 701.73 million in 2021, at a CAGR 23.35% to reach USD 2,014.99 million by 2026. Market Statistics: The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period. Market Segmentation & Coverage: This research report categorizes the Edge Artificial Intelligence to forecast the revenues and analyze the trends in each of the following sub-markets: Based on Processor, the market was studied across ASIC, CPU, and GPU.


Chan Zuckerberg Commits $500 Million to Harvard Neuroscience and AI Institute

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Chan Zuckerberg Initiative co-founders and co-CEOs Mark Zuckerberg '06, L.L.D. '17 and Priscilla Chan '07, announced today a gift to establish the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard. The new institute, which will have dedicated space in the recently completed Science and Engineering Complex in Allston (see "A 500-Year Building"), is named after Karen Kempner Zuckerberg, the mother of the Meta CEO and founder (Facebook, Instagram, and WhatsApp are Meta Platforms Inc.'s best-known apps) and her parents. According to Jeff MacGregor, vice president of science communications for the Chan Zuckerberg Initiative (CZI), the Kempner Institute will receive $500 million in funding during the next 15 years. The gift will support 10 new faculty appointments, new computing infrastructure, and resources for students--from undergraduates to post-doctoral fellows--that will allow them to pursue knowledge in an uninhibited way across labs and disciplines. Zuckerberg and Chan, a pediatrician, will donate an additional $2.9 billion to support biomedical research focused on improving human health, with the aim of ultimately ending all human disease.


The opportunity for AI in Healthcare

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Over the past decades, Artificial Intelligence (AI), has played a robust and growing role in the world. What many people don't realize is that AI presents itself in several different forms that impact everyday life. Logging into your email, social media, car ride services, and online shopping platforms all involve AI algorithms to ensure a better user experience. The medical field is one key area where AI is experiencing rapid growth; specifically, in managing treatment and diagnostics. There is significant research undertaken into how AI can help aid in clinical decisions, increase the efficiency of treatment, and support human judgment.


Which Jobs Will Likely Be Replaced by Robots?

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Artificial intelligence (AI) will replace receptionists, manufacturing workers, proofreaders, bookkeeping clerks, basic retail jobs, receptionists and cashiers. Artificial intelligence (AI) is transforming how businesses operate and execute their operations. The rise of artificial intelligence during Covid-19 has also led to a change in skills requirements for organizations including blue collar and white collar workers. Artificial intelligence won't replace jobs which require conflict resolution, negotiation, emotional intelligence, and empathy. Researchers have created robots that are capable of carrying out specific tasks automatically.