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Creativity & Intelligence


The Third Wave of AI and The Digital Organizations of the Future – Ravi Dugh

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Many AI techniques are being used in organizations, and AI will continue to get sophisticated in the third wave of AI. In the Fourth Industrial Age, human creativity, AI at scale, and Emotion AI will be dominant forces that will shape the digital organizations of the future. What is the Third Wave of AI? In the first wave, artificial intelligence (AI) systems followed clear rules and were directed at individual applications of the algorithms to cover every eventuality. The second wave was the introduction of deep learning and reinforcement learning systems that mapped inputs to outputs to solve a certain type of problem.


La veille de la cybersécurité

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If you work out of an office, you know that the coffee machine is the favorite spot in the office to hang out or have conversations at. From giving us the first cup of the day to keeping us awake for late-night meetings, that machine is a lifesaver. But just for a day, try not getting your coffee from the coffee machine. Don't skip coffee entirely, but instead, go out to your local coffee shop that doesn't use coffee machines or make yourself a flask at home. You will realize that hand-made coffee is inherently better than the one that is made from a machine.


Can AI Emulate Human Creativity?

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If you work out of an office, you know that the coffee machine is the favorite spot in the office to hang out or have conversations at. From giving us the first cup of the day to keeping us awake for late-night meetings, that machine is a lifesaver. But just for a day, try not getting your coffee from the coffee machine. Don't skip coffee entirely, but instead, go out to your local coffee shop that doesn't use coffee machines or make yourself a flask at home. You will realize that hand-made coffee is inherently better than the one that is made from a machine.


Legally speaking - Artificial Intelligence is not even close to human intelligence

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In public proceedings, the Legal Board of Appeal of the EPO confirmed that under the European Patent Convention (EPC), an inventor designated in a patent application must be a human being. This was the judgement in combined cases J 8/20 and J 9/20, where the board just dismissed the applicant's appeal. Here, both the applications were made by a Missouri physicist Stephen Thaler, whose AI-system DABUS had made the inventions. Device for the Autonomous Bootstrapping of Unified Sentience, or DABUS, is a computer system programmed to invent by itself. It is, basically, a swarm of disconnected neutral nets that can continuously generate thought processes and even memories that can, over time, generate new and inventive outputs independently.


What is Artificial Intelligence? How Is It Affecting Humanity?

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Artificial Intelligence is the science and practice of designing software and intelligent systems that exhibit artificial intelligent behavior. The main field of AI is machine learning – the ability for a machine to learn from experience – the machine can analyze data to generate an outcome. The classic example is a baby. If we feed it images and sounds and say that it is learning then it would learn from those experiences and display the outcome, when it should, when it feels like it should. It is a very powerful concept and one that we will continue to hear a lot more about.


The Future of Artificial Intelligence

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Let's first clear the concept of AI. Artificial Intelligence is a branch of computer science that helps machine/software to simulate human intelligence in making decisions and solving problems based on the available data. AI is concerned with building smart machines that can work like humans. Artificial intelligence will enable the next generation of radiology tools. Users spend the majority of their time on three tasks: clinical documentation, order entry and sorting. Artificial Intelligence involves NLP applications that can understand and perform all these tasks.


How to Prepare for a Career in Artificial Intelligence

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To be successful in an Artificial Intelligence career, you must be passionate about the subject. In addition, you should also have a passion for problem-solving and a knack for working with computers. Smart programs can be used for a variety of purposes, from driving cars to managing a company. The first step is to define what AI is. Artificial intelligence is the development of computer systems able to perform tasks that normally require human intelligence such as visual perception, speech recognition, decision-making, and language comprehension.


Why Computers Don't Need to Match Human Intelligence

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Speech and language are central to human intelligence, communication, and cognitive processes. Understanding natural language is often viewed as the greatest AI challenge--one that, if solved, could take machines much closer to human intelligence. In 2019, Microsoft and Alibaba announced that they had built enhancements to a Google technology that beat humans in a natural language processing (NLP) task called reading comprehension. This news was somewhat obscure, but I considered this a major breakthrough because I remembered what had happened four years earlier. In 2015, researchers from Microsoft and Google developed systems based on Geoff Hinton's and Yann Lecun's inventions that beat humans in image recognition. I predicted at the time that computer vision applications would blossom, and my firm made investments in about a dozen companies building computer-vision applications or products.


'AI is increasingly outperforming human intelligence'

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Health-related data and its collection have grown exponentially recently, thanks in part to a range of digital tools and the Internet of Things (IoT) which uses sensors to collect millions of data points of physiological data from patients over a period of time. According to Promit Roy, PhD candidate, Trinity Business School, Trinity College, and associate director innovation, Novartis Ireland, the "enormous data these technologies and channels cater are very resource and time intensive." Analysing this data and identifying patterns and signals and adverse events are "crucial for life science industries," he says. "However, screening and processing data to eliminate noise and find knowledge is a challenge for the pharmaceutical industry. This requires new approaches to handle/screen them for useful information."


Why Computers Don't Need to Match Human Intelligence

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With continuing advances in machine learning, it makes less and less sense to compare AI to the human mind.