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This chemist is reimagining the discovery of materials using AI and automation

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Imagine computer programs that use precise knowledge of molecules' electronic structure to create new designs; imagine robots that make and test these molecules. And imagine the software and robots working together--testing molecules, tweaking designs, and testing again--until they produce a material with the properties we're looking for. Actually executing it is another matter. The structures of molecules are mind-bogglingly complex, and chemical synthesis is often more art than science, defying efforts to automate the process. But advances in AI, robotics, and computing are bringing new life to the vision.


Major new report explains the risks and rewards of artificial intelligence

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This will likely lead to major advances in life sciences and medicine, accelerating efforts to understand the building blocks of life and enabling quicker and more sophisticated drug discovery. Most of the planet now knows to their cost how the unique shape of the spike proteins in the SARS-CoV-2 virus are key to its ability to invade our cells, and also to the vaccines developed to combat its deadly progress.


AI-powered glaucoma screening test delivers rapid results

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A new rapid screening test for glaucoma could help advance early detection of the disease, a leading cause of irreversible blindness. Developed by a research team of engineers and ophthalmologists led by RMIT University in Melbourne, Australia, the test uses infrared sensors to monitor eye movement and can produce accurate results within seconds. About 80 million people worldwide have glaucoma, with more than 111 million expected to be living with the disease by 2040. The loss of sight is usually gradual and 50% of people with glaucoma do not know they have it. Currently, glaucoma is diagnosed through a 30-minute eye pressure test delivered by an ophthalmologist.


Global Big Data Conference

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AI technology is associated with making machines and related processes intelligent through the use of advanced computer programming solutions. The AI technology market is poised to grow at a robust pace driven by its increasing adoption in an expanding range of applications in varied industries. The growing need to analyze and interpret burgeoning volumes of data and the escalating demand for advanced AI solutions to improve customer services are expected to fuel growth in the AI market. With significant improvements being seen in data storage capacity, computing power and parallel processing capabilities, the adoption of AI technology in various end-use sectors is on the rise. The rising adoption of cloud-based services and applications, rapid growth of big data, and the increasing need for intelligent virtual assistants are also contributing to the rapid growth of AI market.


Global Big Data Conference

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Have you ever imagined a technology that would replace all repetitive jobs and relieve humans from performing heavy labor? Artificial intelligence is a technological blow that has continued to take the world by storm since 1955. The advent of the internet has helped this technology progress exponentially, and that it is now advancing exponentially. It is streamlined with widespread sub-technologies and applications ranging from biometrics and computer vision to intelligent devices and self-driving cars. Many predictions have been made about what new advances are expected in the field of artificial intelligence.


futureofwork _2021-10-25_13-30-06.xlsx

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The graph represents a network of 4,147 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 October 2021 at 20:43 UTC. The requested start date was Monday, 25 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 4-day, 3-hour, 27-minute period from Wednesday, 20 October 2021 at 20:33 UTC to Monday, 25 October 2021 at 00:00 UTC.


Why natural language processing (NLP) is a critical part of your real world data strategy

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It's time to unleash the value of unstructured data The flow of relevant real world data (RWD) to the life sciences industry has exploded in recent years, and most (80%) of that new content comes in the form of unstructured data. Unstructured data includes all the information that is shared in textual narrative and conversational formats. And in the age of Twitter and chatbots, that covers quite a bit of ground. This information can be drawn from social media posts, journal articles, virtual customer contact requests, telehealth conversations, medical notes, and research information – and that is just the short list. This content can be rich in value, but that value is often underutilized because these documents are difficult to manually review, translate, and analyze.


IBM buys technology labs from McDonald's

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Big Blue has taken a bite out of McDonald's, acquiring the burger chain's automated order taking (AOT) tech – and the "McD Tech Labs" that built it, for an undisclosed consideration that may or may not include an upsold serve of fries. The labs were created after Mickey Dee's 2019 acquisition of AI voice recognition startup Apprente – a deal touted as giving the burger-slinger the special sauce needed to build voice recognition tech into mobile ordering services or McKiosks. McDonald's told investors its efforts to cook Apprente's tech into something tasty have "shown substantial benefits to customers and restaurant crew experience". Once Big Blue bites into Big Mac's AI, McDonald's thinks the tech will really start to sizzle. "Moving forward, IBM's expertise in building customer care solutions with AI and natural language processing will help scale the AOT technology across markets and tackle integrations including additional languages, dialects and menu variations," reads the joint IBM/McDonald's McStatement.


SAP BrandVoice: Can Artificial Intelligence Take The Guesswork Out Of The Customer Journey?

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Artificial intelligence (AI) is shedding light on one of the most examined yet least understood experiences of modern life: the customer journey. From shopping malls and sports arenas, to train stations and city streets, C2RO is an AI-powered video analytics platform that captures anonymized data about people's movement so organizations can improve the customer experience. "We analyze human behaviour in physical spaces, and transfer it into actionable data," said Tim Heaney, vice president of sales at C2RO. "With a fact-based understanding of the amount of people coming into a space, how they move through it with whom, where they linger, and what they touch and eventually purchase, organizations can manage physical environments more efficiently to improve the customer experience and business results." A transportation organization used data from C2RO to improve subway train and bus terminal planning. "Based on the number of people boarding and leaving trains at certain times and days, as well as which direction they're headed at terminals, transportation managers could alleviate traffic crunches," said Heaney.


AI programming tool Copilot helps write up to 30% of code on GitHub

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Texas state Rep. Matt Krause (R), chair of the Texas House Committee on General Investigating, announced Wednesday that he's initiating a probe into schools' library books, according to a letter sent to the state's education agency and other superintendents. Why it matters: The probe focuses on books that discuss race, sexuality, or "make students feel discomfort, guilt, anguish, or any other form of psychological distress because of their race or sex," Krause wrote in the letter.