Sanofi, which has moved purposefully into high technologies to get more from its manufacturing, will lean heavily on that strategy to shrink costs and fatten margins. Using robotics, artificial intelligence and new generation manufacturing should save it half a billion euros in annual costs by 2022. So says Sanofi CFO Jean-Baptiste Chasseloup de Chatillon who was filling in some details of new CEO Paul Hudson's €2 billion cost-savings plan laid out Tuesday during Sanofi's investor conference. "It is a leapfrogging of productivity. It reduces cycle time," Chasseloup de Chatillon said on a webcast of the conference.

Admittedly, it sounds like an oxymoron to say "artificial intelligence" when talking about human resources. I see the irony and can understand why some businesses look at AI skeptically. But as a manager of people, I see this integration as a welcome convenience. Like most managers, there are HR functions that fall under my responsibility because I have direct reports. But my primary focus at work is usually on the projects, campaigns, or deliverables tied to my goals and key performance indicators.

DALLAS, TX / ACCESSWIRE / December 17, 2019 / Trintech, a leading global provider of integrated Record to Report software solutions for the office of finance, today announced its newest Artificial Intelligence (AI) investments, AI Risk Rating for Journal Entries and Risk Intelligent Inspect powered by MindBridge Ai. Each of these investments leverage Financial Controls AI, a type of Artificial Intelligence developed specifically for the complex needs of the office of finance to identify errors and anomalies in financial data. It uses a risk-based approach to help financial professionals optimize global controls and automate workflow. "Artificial Intelligence is playing a powerful role in helping organizations analyze financial data, identify insights and ultimately remove risk in their balance sheet as far down as each individual transaction," said Michael Ross, Chief Product Officer at Trintech. "As the risk of fraudulent activity and misstatement continues to rise, we are continuing to invest in our AI strategy to better provide our customers with solutions that efficiently and effectively reduce risk throughout their financial close process."

Privacy concerns get most of the attention from tech skeptics, but powerful predictive algorithms can generate serious resistance by threatening consumer autonomy. The nexus of big data analytics, machine learning, and AI may be the brightest spot in the global economy right now. McKinsey Global Research estimates that the use of AI will add as much as $13 trillion to global GDP by 2030.1 The noneconomic benefits to humankind will be equally dramatic, leading to a world that is safer (by reducing destructive human error) and offers people a better quality of life (by reducing the time they spend on tedious tasks such as driving and shopping). Even if the coming automation-driven disruption of labor markets is as serious as many fear, we are still, on balance, likely to be better off than today. But not everyone is convinced.

For years, people have tried to re-engineer learning with artificial intelligence, but it was not until the machine-learning revolution of the past seven years that real progress has been made. Slowly, algorithms are making their way into classrooms, taking over repetitive tasks like grading, optimizing coursework to fit individual student needs and revolutionizing the preparation for College Board exams like the SAT. A plethora of online courses and tutorials also have freed teachers from lecturing and allowed them to spend class time working on problem solving with students instead. While that trend is helping people like Mrs. Turner teach, it has just begun. Researchers are using A.I. to understand how the brain learns and are applying it to systems that they hope will make it easier and more enjoyable for students to study.

It is observed that since 1970s computer generated art works have attracted a lot of attention. Most of these computer-generated artworks are relied heavily on the programmer who provides the input for creation of the work. However, with technological advancement, artificial intelligence has developed to the extent that it is capable of understanding and creating results/ outputs without any interference by the human.8 Major question raised in this regard, is with respect to the protection over the work created by the Artificial Intelligence. The works created by AI can be categorized as "works created by AI with human interference" and "works created by AI without any human interference".

In April 2018, the US Food and Drug Administration (FDA) made a momentous decision. The agency's approval of IDx-DR, a diagnostic system developed by Iowa-based IDx Technologies for diabetic retinopathy, wasn't a revolutionary move on the face of it, but nevertheless marked an important inflection point in the delivery of modern healthcare. So why was the FDA's decision to award marketing clearance to IDx-DR so significant? As is increasingly the case in medical technology, the answer lies with artificial intelligence (AI). The IDx-DR software is driven by AI, and it's the first system approved to autonomously provide diagnostic assessments without the supervision of an expert clinician. The system involves capturing images of a patient's eye with a retinal camera – in this case the Topcon NW400 – that can be operated by any non-specialist staff member with a little training.

Intel Corporation this week announced that it has acquired Habana Labs for approximately $2 billion. Habana is an Israel-based company that develops programmable deep learning accelerators for the data centre. This acquisition is aimed at strengthening Intel's artificial intelligence portfolio and accelerate its efforts in the AI silicon market, which Intel expects to be greater than $25 billion by 2024. "This acquisition advances our AI strategy, which is to provide customers with solutions to fit every performance need – from the intelligent edge to the data centre," said Navin Shenoy, executive VP at Intel, in a press release. In July, Habana announced its Gaudi AI training processor, which the Tel Aviv startup promised was capable of beating GPU-based systems by 4x.

The development of artificial intelligence technologies has brought forth the era of autonomous cars, realistic robots, intelligent chatbots, and AI YouTubers. And now, researchers have created an artificial intelligence tool that utilizes language models to identify'fake news'. This tool has been developed to stop the spread of misinformation through stance detection. Based on deep-learning, the AI tool can verify the information provided in posts made on various platforms by comparing it to other posts available on the subject. With the tool, researchers want to eliminate the deceptive posts that have plagued the internet.

Finland is offering a techy Christmas gift to all European Union citizens -- a free-of-charge online course in artificial intelligence in their own language, officials said Tuesday. The tech-savvy Nordic nation, led by the 34-year-old Prime Minister Sanna Marin, is marking the end of its rotating presidency of the EU at the end of the year with a highly ambitious goal. Instead of handing out the usual ties and scarves to EU officials and journalists, the Finnish government has opted to give practical understanding of AI to 1% of EU citizens, or about 5 million people, through a basic online course by the end of 2021. It is teaming up with the University of Helsinki, Finland's largest and oldest academic institution, and the Finland-based tech consultancy Reaktor. Teemu Roos, a University of Helsinki associate professor in the department of computer science, described the nearly $2 million project as "a civics course in AI" to help EU citizens cope with society's ever-increasing digitalization and the possibilities AI offers in the jobs market.