CEIPI is pleased to announce the offering of the 3rd edition of the Advanced Training Program on "Artificial Intelligence and Intellectual Property" that will take place in Strasbourg from 23 to 25 April 2020. This new training follows the very successful editions of past years, gathering a high number of professionals coming from almost all the European countries, and as far as Brazil, Canada, United States, China, India, Malaysia and Japan, and including senior officials from renowned institutions. Artificial Intelligence (AI) and robots have been the subject of science fiction for some time. That fictional future is now a present reality. The regulation of AI's activities is set to become a primary policy issue.

Inceoglu I, Thomas G, Chu C, Plans D, Gerbasi A (2018). Leadership behavior and employee well-being: an integrated review and a future research agenda. Lopez D, Brown AW, Plans D. (2019). Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multiagent system. Murphy J, Brewer R, Coll M-P, Plans D, Hall M, Shiu SS, Catmur C, Bird G. (2019).

Following the opening of its London office in January this year, artificial intelligence (#AI) technology incubator and investor Skymind Global Ventures (SGV) announced a $800m fund to boost the AI #ecosystems in #Europe and #Asia.

As social media platforms move to crack down on deepfakes and misinformation in the US elections, an Indian politician has used artificial intelligence techniques to make it look like he said things he didn't say, Vice reports. In one version of a campaign video, Manoj Tiwari speaks in English; in the fabricated version, he "speaks" in Haryanvi, a dialect of Hindi. Political communications firm The Ideaz Factory told Vice it was working with Tiwari's Bharatiya Janata Party to create "positive campaigns" using the same technology used in deepfake videos, and dubbed in an actor's voice to read the script in Haryanvi. "We used a'lip-sync' deepfake algorithm and trained it with speeches of Manoj Tiwari to translate audio sounds into basic mouth shapes," Sagar Vishnoi of The Ideaz Factory said, adding that it allowed the candidate to target voters he might not have otherwise been able to reach as directly (while India has two official languages, Hindi and English, some Indian states have their own languages and there are hundreds of various dialects). The faked video reached about 15 million people in India, according to Vice.

Humans are error-prone and biased, but that doesn't mean that algorithms are necessarily better. Still, the tech is already making important decisions about your life and potentially ruling over which political advertisements you see, how your application to your dream job is screened, how police officers are deployed in your neighborhood, and even predicting your home's risk of fire. But these systems can be biased based on who builds them, how they're developed, and how they're ultimately used. This is commonly known as algorithmic bias. It's tough to figure out exactly how systems might be susceptible to algorithmic bias, especially since this technology often operates in a corporate black box.

A healthy workplace makes good use of the latest insights on human behaviors, wellness, and achieving sustainable performance, and deploys the cutting-edge work tools of the times. A wide array of ever-more powerful technologies is becoming part of the core design of organizations--from artificial intelligence (AI) to 3D printing, we now assume they will be part of the fabric of work and the workplace. So, what might these factors mean for the different possible futures of the workplace? The workplace of the future could potentially manifest many of the technological possibilities being developed today. Hence, there are a range of views about how the boundaries between us and our devices might play out in a world of super computing power, particularly in the world of work.

Co-founder and chief strategy officer David Hunt says their technology allows farmers to see what is happening on their dairy "in high resolution in real time…without anyone needing to go into the barn." Based in California, Canada and Ireland, the company launched their first product in late January. Alus Nutrition focuses on "all things related to feed bunk management," according to portfolio growth lead Tyler Bramble. This includes when feed is delivered to cows or when the cows have cleaned out the feed and need more. Cainthus' smart cameras monitor cows, while their software interprets what the cameras see.

Pictured above is a general purpose dual RBG camera system, designed by Carnegie Mellon University researcher George Kantor and his R&D team, to collect high quality images in agricultural environments. Collected images can feed crop-specific artificial intelligence methods that extract measurements such as crop yield, maturity, or disease incidence. Generally speaking, artificial intelligence (AI) enabled technologies are infiltrating every aspect of our daily lives, from the smartphones everyone is carrying around everywhere to places where maybe AI is best left on the sidelines (have you heard about Alexa's newest integration into a connected shower head device?). As you all know, the greenhouse has not been spared from the "AI Revolution" – not in the slightest – and one area we're hearing the technology is making believers out of skeptics is in the legal cannabis space, where high profit margins and a youthful, tech-focused grower demographic creates the perfect storm for early-stage ag tech adoption. If you disagree with that statement, I invite you to spend a day next year at the massive MJBizCon show in Las Vegas, which at this point is basically a smaller, more focused CES show for cannabis producers, and then let me know if you still don't think cannabis growers are all that innovative or on the cutting edge of technology adoption.

AI can ensure that radiologists will generate exceptionally essential information to enhance the health of populaces and people. FREMONT, CA: Radiology has come to the surface as an innovator in artificial intelligence (AI) out of an extreme need. The yearning for more prominent efficacy and productivity in the field of clinical care has acted as an essential driver when it comes to the development of AI in medical imaging. The data from radiological imaging keeps developing at an irregular rate whenever compared. The quantity of the trained readers and the fall in imaging reimbursements has affected the healthcare suppliers, by remunerating the increasing efficiency.

Tesla CEO Elon Musk thinks that organizations developing article intelligence should be regulated, including his own companies. Musk tweeted his thoughts on A.I. on Monday night, February 17, in response to an article written about research company OpenAI, which was once backed by Musk himself. "OpenA.I. should be more open imo," Musk tweeted. "All orgs developing advanced A.I. should be regulated, including Tesla." Musk also said that both individual governments and global organizations should handle the regulation of A.I.