KW 2: Hyundai confirms, then denies report of Apple tie-up, Israeli start-up wants to use artificial intelligence to avoid misdiagnosis, EU agency names risks of AI


Hyundai confirms, then denies report of Apple tie-up: Hyundai Motor Co. backed away from a statement confirming it is in talks with Apple Inc. on developing self-driving car that fueled an $8 billion surge in the Korean automaker’s market value Friday, saying instead that it received requests for potential cooperation from a number of companies. Revising its statement for the second time in a matter of hours, Hyundai said it had been contacted by potential partners for the development of autonomous electric vehicles, removing any reference to Apple. Shares of Hyundai surged 19% after Korean media initially reported on talks with the US company, only slightly paring their gains after the statement confirming discussions was revised.

Israeli start-up wants to use artificial intelligence to avoid misdiagnosis: According to the World Health Organization (WHO), a person dies every five minutes due to incorrect diagnosis. Mistakes are human, but especially in the medical field, they are often fatal. There are many reasons for so-called malpractice: Lack of experience, overload or fatigue due to long shifts. „With the emergence of the Covid-19 pandemic, the situation in many of the already overloaded health systems in the world has become even worse,“ said Gidi Stein, doctor and managing director of MedAware, the company that now wants to use AI to put a stop to incorrect treatment. The company has evaluated around 1.7 million prescriptions issued between 2012 and 2017 in Israel’s largest hospital, Sheba Medical Center in Tel HaSchomer. According to MedAware, 3,700 of the prescriptions were inaccurate. The company also examined prescriptions from Massachusetts General Hospital and Brigham and Women’s Hospital in the United States – with similar results.

EU agency names risks of AI: Artificial intelligence (AI) offers many advantages, especially with regard to cybersecurity and in the fight against internet crime, as the European authority for IT security ENISA recently explained. But of course new technologies also harbor risks for IT security. For example, the use of AI in safety-critical applications that rely on automated decision-making such as autonomous vehicles, intelligent manufacturing and e-health for individuals and organizations sometimes involve unpredictable risks for users. New technologies are also constantly creating new areas of attack for criminals and threats to data protection. The EU must therefore rely on more targeted and appropriate security measures in order to respond to the threats found by the agency ENISA. In particular, the need to use AI in areas such as health, automotive and finance should be carefully examined in advance.

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Amazing AI-enhanced montage of Lumière films: YouTuber Denis Shiryaev has unveiled his most spectacular AI video restoration yet: a new montage of footage shot by the Lumière brothers. Shiryaev spent months using machine learning to colorize, upscale, and enhance a collection of films by the French cinema pioneers. He began by using an algorithm developed by his company, Neural Love, to remove duplicate frames from the footage and restore the film’s original frame rate. He also applied stabilization to the footage, removed noise where required, and corrected some of the damage to the films.

AI helps to calculate turbulence: Researchers at ETH Zurich have succeeded in calculating turbulence with the help of the supercomputer “Piz Daint” and artificial intelligence. The modeling of so-called „turbulent flows“ is a major challenge in science, since the complexity of the flow behavior has not yet been fully explored. But their effects have to be considered in a wide variety of areas, be it aircraft or car manufacturing or weather forecasting. At ETH Zurich, reinforcement learning (RL) algorithms have now been developed and combined with physical knowledge to model turbulence. „The newly developed methodology offers a new and powerful way to automate multiscale modeling and advance science through the sensible use of artificial intelligence,“ said Petros Koumoutsakos, professor at the Computational Science and Engineering Laboratory at ETH Zurich.

New AI can think a little: A new deep mind research project shows that deep learning could replace symbolic AI systems. The researchers succeeded in training a neural network to understand the effects of simple objects on one another. It seems that neural networks can actually learn to think effectively about the „causal, dynamic structure of physical events,“ according to the researchers. It is now important to create new benchmarks in order to be able to empirically determine the full potential of neural networks.

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According to a McKinsey study, around 30-40 percent of attacks and burglaries could be prevented in a smart city, in comparison with a “normal” city.


OpenAI unveils system that can generate images from text: OpenAI, the San Francisco-based research company behind the breakthrough AI language generator GPT-3, has developed a new system that can create images from short text captions. In a blog post, OpenAI said that DALL-E, a portmanteau of artist Salvador Dalí and Pixar’s robot hero WALL-E, had demonstrated the ability to create images “for a wide range of concepts”. Among its illustrations is a picture of an armchair shaped like an avocado.

Artificial intelligence solves Schrödinger’s equation: Scientists at the Freie Universität Berlin have come up with an AI-based solution for calculating the ground state of the Schrödinger equation in quantum chemistry. The Schrödinger’s equation is primarily used to predict the chemical and physical properties of a molecule based on the arrangement of its atoms. The equation helps determine where the electrons and nuclei of a molecule are and under a given set of conditions what their energies are.


AI to help better distribute blood supplies: Around 800 blood supplies have to be disposed of every day in Germany because they were not used in time. A project of the University Hospital Essen and the University of Applied Sciences Dortmund would like to put a stop to this waste. Using artificial intelligence (AI), the canned food could be better distributed among the clinics and depreciation kept low. „Data and AI can help to better forecast the needs in the clinics, to inquire about blood donations more specifically and to bring donors and patients together more precisely,“ said project manager Britta Böckmann. In the next two and a half years, an app will also be developed that shows blood donors where there is currently a high demand for a particular blood group.


„One way that corporations get into schools is through learning materials. For example, Microsoft wants to make 15,000 students fit for the ‚AI age‘ and is cooperating with employers to do this. The phrase ‚AI age‘ is treacherous: it stands for a strong belief in technology if a fashionable catchphrase is to characterize an entire age. But will there really be an age of ‚artificial intelligence‘? Words like this definitely place ideas, and in many minds.“
In an interview on the subject of “digital education”, business journalist and lecturer Ingo Leipner said people should question hollow phrases in this context


Baking with Google’s AI: In order to research the explainability of decisions made using machine learning, Sara Robinson, a Google employee, had a practical idea for a machine learning model: The AI should create baking recipes. To be more precise: it should also define the exact differences between cake and bread or cookies, for example. The model made statements on possible combinations of ingredients regarding cake, bread or cookie suitability and also issued lists of ingredients for cake-bread hybrids such as the “Cakie” or the “Breakie”.

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