In 1739, Parisians flocked to see an exhibition of automata by the French inventor Jacques de Vaucanson performing feats assumed impossible by machines. In addition to human-like flute and drum players, the collection contained a golden duck, standing on a pedestal, quacking and defecating. It was, in fact, a digesting duck. When offered pellets by the exhibitor, it would pick them out of his hand and consume them with a gulp. Vaucanson died in 1782 with his reputation as a trailblazer in artificial digestion intact.

AI firm, Gero, which specialises in AI-driven drug discovery, has used its AI platform to identify the potential anti-COVID-19 drugs. Six of them have been approved, three were withdrawn, and the other nine have been already tested in clinical trials for other indications. The emergency of the situation, as well as the legal and regulatory status of these agents, make it possible to start immediate clinical trials for most of the suggested drugs. Gero used its AI drug discovery platform to identify molecules with potential effects on the coronavirus replication. The fact that this time the potential treatments were found among the existing drugs marks a significant improvement over previous efforts to use AI to predict molecules active against COVID-19. The discovery makes it possible to start clinical trials in a matter of weeks.

Data Scientist is the most promising job in the U.S according to LinkedIn. Also, the demand for Data Scientists is growing exponentially in all the industries. Out of all the openings, 19% of data science professionals jobs are secured by the Finance Industry. Python statistics is one of the most important python built-in libraries developed for descriptive statistics. Python statistics is all about the ability to describe, summarize, and represent data visually through comprehensive python statistics libraries.

A free online course developed by The University of Helsinki and the Reaktor agency aims to demystify and educate people in artificial intelligence. Artificial intelligence plays a major role in our everyday lives. In its many forms, it is responsible for the quality of photos we take with our smartphones or for the comfort we feel while shopping online. To help people better understand its basics, the University of Helsinki and the Reaktor agency launched a series of free online courses called Elements of AI. The program aims to explain what artificial intelligence means, what it can and can't do, how it works, and how it will affect us in the future.

Much has been written about the action around artificial intelligence (AI) in agriculture, especially in the West. In H1 2017, agri and food tech start-ups have raised $4.4 billion. Accenture estimates the digital agriculture services market to hit $4.55 billion by 2020. The acquisition of Blue River Technology by John Deere made headlines everywhere. So what is happening in India?

PHILADELPHIA--(BUSINESS WIRE)--The Business Intelligence Group today announced that Kneron was named a winner in its Artificial Intelligence Excellence Awards program. Kneron is a leading on-device edge artificial intelligence (AI) company based in San Diego, California. Kneron provides complete end-to-end integrated hardware and software solutions that enable on-device edge AI inferencing in mobile devices, personal computers, and IoT use cases including smart home devices, surveillance, payments, and smart cars. Their solutions augment cloud-based AI to accelerate AI inferencing on any device. As the entire on-device edge AI industry is still emerging, Kneron's early investment and commercialization of its technology have positioned it in a leadership position to enable AI adoption in mass-market devices.

A hospital in Ireland is using cutting-edge software robots to help free up nurses to spend as much time with patients as possible during the coronavirus pandemic. Mater Misericordiae University Hospital in Dublin will now have robots that rapidly process administrative and computer-based tasks that nurses normally have to do. It is hoped that by giving nurses more available time they can spend it at the side of critically ill patients fighting COVID-19. Software developers at UiPath developed a system that will speed up the often clunky processes inside the healthcare system. It is hoped that by getting computers do most of the mundane admin tasks they can spend up to 50 per cent more time with patients.

On February 19, 2020, the European Commission presented its White Paper on Artificial Intelligence – A European Approach to Excellence and Trust, a much-anticipated policy document setting out concrete measures and proposed regulation with the objective of promoting the development, uptake and use of AI applications, while also addressing the resulting fundamental rights challenges. The document has raised concerns among companies about whether new rules on AI will negatively impact businesses developing or deploying AI solutions across the EU. Feedback on the white paper can be provided until May 19, 2020. The white paper proposes a dual approach. It aims to establish an "ecosystem of excellence" on the one hand, and "an ecosystem of trust" on the other hand.

Consumer sentiment has turned sharply negative as the virus has disrupted every aspect of daily American life. According to a consumer survey from Engine, 88% of consumers in the U.S. are now concerned about the pandemic. And according to another survey of roughly 2,600 U.S. adults from L.E.K. Consulting and Civis (.pdf), between 80% and 90% of adults expect a recession next year. In addition to measuring consumer sentiment, the survey explored how the coronavirus has shifted buying patterns across industries. Generally, the survey finds "significant increases in at-home activities, particularly cooking at home, watching television, browsing social media and exercising at home."

On December 30, researchers using artificial intelligence systems to comb through media and social platforms detected the spread of an unusual flu-like illness in Wuhan, China. It would be days before the World Health Organization released a risk assessment and a full month before the UN agency declared a global public health emergency for the novel coronavirus. Could the AI systems have accelerated the process and limited, or even arrested, the extent of the COVID-19 pandemic? Clark Freifeld, a Northeastern University computer scientist working with the global disease surveillance platform HealthMap, one of the systems detecting the outbreak, said it remains an open question. "We identified the early signals, but the reality is it's hard to tell when you have an unidentified respiratory illness if it's a really serious situation," said Freifeld.