Artificial intelligence news: Brain-based AI discovers 'remarkable' antibiotic


The MIT team first used the deep learning model to screen a library of 6,000 molecules for those which may be effective against E. coli. The search detected halicin, which the authors tested against a number of cultured bacterial strains, discovering the molecule "displays bactericidal activity against a wide phylogenetic spectrum of pathogens including Mycobacterium tuberculosis and carbapenem-resistant Enterobacteriaceae," the authors wrote. The researchers also found halicin kills C. difficile and a "pan-resistant" infection in mouse models. In a subsequent screen of more than 107 million molecules from the ZINC15 database provided by the University of California, San Francisco, the AI tool identified eight molecules with structures distinct from known antibiotics but which might have potent anti-bacterial properties. Professor Jacob Durrant of the University of Pittsburgh, a drug design researcher who was not part of the study, told The Guardian: "The work really is remarkable.

Top AI Ted Talks to Watch for Acquiring Better Technology Outlook


In a fast paced world where people desire more in less, Ted Talks are evolving the landscape of learning and spreading education and awareness among people who need it. This platform of education is transforming lectures into interesting interactions consuming less time as several professionals are unable to attend day-long conferences to educate and update themselves. Moreover, in terms of technology or particularly artificial intelligence (AI), the introduction of TED Talks is also beneficial with regard to money owing to its free availability online. Presenters, who are passionate technology experts, take on the stage and speak with such energy and momentum where their enthusiasm contagiously boosts up youngsters. Therefore, here we have brought you the top AI Ted Talks that will elevate your reasoning and education about the technology.

Artificial Intelligence in Security Market May Set New Growth Nvidia, Intel, Xilinx - Chronicles 99


Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia. About Author: HTF Market Report is a wholly owned brand of HTF market Intelligence Consulting Private Limited. HTF Market Report global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the "Accurate Forecast" in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their "Goals & Objectives".

Machine Learning Chips Market Overview, Technology Details 2020


Machine Learning Chips Market is a valuable source of insightful data for business strategists. It provides the industry overview with growth analysis and historical & futuristic cost, revenue, demand and supply data (as applicable). The research analysts provide an elaborate description of the value chain and its distributor analysis. This Market study provides comprehensive data which enhances the understanding, scope and application of this report. The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/ Machine Learning Chips Market players in the market.

Rules urgently needed to oversee police use of data and AI – report


National guidance is urgently needed to oversee the police's use of data-driven technology amid concerns it could lead to discrimination, a report has said. The study, published by the Royal United Services Institute (Rusi) on Sunday, said guidelines were required to ensure the use of data analytics, artificial intelligence (AI) and computer algorithms developed "legally and ethically". Forces' expanding use of digital technology to tackle crime was in part driven by funding cuts, the report said. Officers are battling against "information overload" as the volume of data around their work grows, while there is also a perceived need to take a "preventative" rather than "reactive" stance to policing. Such pressures have led forces to develop tools to forecast demand in control centres, "triage" investigations according to their "solvability" and to assess the risks posed by known offenders.

5 amazing books about AI that you should be reading


I always think that people, especially in the scientific and engineering society, underestimate the importance of simple explanations of difficult concepts, especially concerning people that are new in the field, these books help on making difficult concepts seem not so difficult!

Microsoft opens artificial intelligence lab at top university in Bucharest


Microsoft launched on Tuesday, February 18, the first artificial intelligence laboratory at the Bucharest Academy of Economic Studies (ASE), one of the largest economic higher education institutes in Romania. In the new lab, which required an investment of EUR 50,000, the students can find more about machine learning, create and test AI algorithms, store and manage huge volumes of data, or develop applications and platforms themselves, local As of March 3, 11 cloud engineers from Microsoft Romania will hold courses aimed at helping students develop both technical and business innovation skills. The first course to be held in the new cloud lab will focus on the latest innovations in information technology using Azure, Microsoft's cloud computing platform. The next courses will focus on artificial intelligence, and the ASE students will be encouraged to develop their own projects.

Hive - Machine Learning Engineer


Hive is a full-stack deep learning platform helping to bring companies into the AI era. We take complex visual challenges and build custom machine learning models to solve them. For AI to work, companies need large volumes of high quality training data. We generate this data through Hive Data, our proprietary data labeling platform with over 1,000,000 globally distributed workers, generating millions of high quality pieces of data per day. We then use this training data to build machine learning models for verticals such as Media, Autonomous Driving, Security, and Retail.

Free Japanese-language medical app offers advice about coronavirus

The Japan Times

A Japanese medical advice app provider is making a limited time offer of a free app that allows users to seek advice from doctors about the coronavirus. The free service, in Japanese only, is provided by Agree, a company based in Tsukuba, Ibaraki Prefecture. It also operates a medical advice app called Leber. Users are asked to send information such as whether they have traveled to any places where COVID-19 has been confirmed or whether they have developed a fever. With about 120 doctors registered for the service, users receive advice in about 30 minutes about the urgency of their condition, such as if they are suspected of having pneumonia and if they should seek advice from a public health center.

See the logos AI generates for Apple, Google, and Uber


That's at least based upon a new Logo-Maker tool just launched in beta by Israel-based freelance marketplace Fiverr. The tool claims to be able to "make a professional logo in just a few clicks," using artificial intelligence, so we put it to the test and used the tool to create some alternate logos for today's biggest brands, including Apple, Google, McDonald's, Uber, and even our own Fast Company logo, just for good measure. The designs are every bit as generic as you might expect. To craft a logo, the user chooses up to three industry keywords from a list to clue the AI into the industry your business is in. There was no "technology" industry option, so let's just say it was a bit difficult to properly describe Apple or Google.