During a session that lasted two hours, European Film Market (EFM) Horizon attempted to determine whether artificial intelligence (AI) is film's new normal. Moderated by AC Coppens (The Creatives' Catalysts), the conference, which encompassed five presentations, explored the presence of AI, in its various forms, at different stages of a film's life cycle. During her introductory keynote speech, Maja Cappello, head of the European Audiovisual Observatory's legal department, focused on the real or imaginary legal issues that the use of AI creates in fiction. Given that legal systems vary dramatically between regions, in the UK, it would probably be possible for AI to hold on to the rights, whereas that wouldn't be the case in continental Europe. Also, another possible issue arises in cases where a machine creates original content: who will be the owner of this product?

DENTON, Texas (CBSDFW.COM) – The University of North Texas is launching a new program to meet the booming demand for artificial intelligence professionals. UNT will be soon offer the only Master of Science degree in AI in Texas. "I really think everyone should be learning more about AI," said Mark Albert, a computer science professor at UNT. From Google searches to chats with Alexa, AI is all around us, and it's expected to play a significant role in nearly every industry. "It's needed for a lot of applications, so we feel like we're in the position to help educate an AI-ready workforce, which is important for the state and the nation as well," said Yan Huang, senior associate dean of the UNT College of Engineering.

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Atos, a global leader in digital transformation, today announced the delivery of its high-powered artificial intelligence, Codex AI Suite, to analyze data and predict attraction performance for Triple Five Group's American Dream retail and entertainment complex. This modern IoT and machine learning platform will enable American Dream to reduce downtime, increase guest satisfaction and lower maintenance costs. Atos' Codex AI Suite collects and stores data from hundreds of ride sensors, which feeds into an algorithm that detects apparent trends, anomalies and unique identifiers of a machine's state. It is an easy-to-use, efficient and cost-effective solution to help American Dream rapidly build and deploy artificial intelligence applications, better extract value from data and develop new business opportunities. The solution will establish a baseline of data analytics using historical data captured from the ride controller and activated through apps rendering on any device.

Augmented reality (AR) is featuring with smartphone makers and social media firms. These are frontline adopters and developers of facial recognition, using it for device security and personalised entertainment (like Snapchat Filters). Makers of smart glasses are also taking an interest in facial recognition. However, privacy issues remain a concern, especially in the consumer market. That said, some enterprise-grade smart glasses are using facial recognition technology for specific functions. Several leading social media platforms allow users to add AR features to their content.

Artificial intelligence continues to gather steam in the enterprise. But it hasn't reached majority status among enterprises. Several roadblocks to more widespread AI adoption remain -- some linked to talent and data and some to perception– says a recent report from Cognilytica, a research firm. By 2025, according to "Global AI Adoption Trends & Forecast 2020," 40% will have deployed AI in some form, compared with 12% in 2020. These numbers indicate that AI in production is still tentative, and enterprises are incrementally making their way toward the technology only as they see immediate return.

Bio: Pier Paolo Ippolito is a final year MSc Artificial Intelligence student at The University of Southampton. He is an AI Enthusiast, Data Scientist and RPA Developer.

Artificial intelligence has the power of transforming anything remotely stupid into an intelligent object! Yes, AI has been doing this for quite some time now and with the rise of voice assistants, things have become more exciting. Businesses around the world, have now understood the importance of "Voice Commerce". It all began with speech-to-text technology developed by Google. 'Google Voice Search' has been launched for iPhones, this advance app utilized data centers so that it can easily compute data and can analyze data, this is actually a good example of human speech.

While the most sophisticated driverless cars on public roads can handle haboobs and rainstorms like champs, certain types of precipitation remain a challenge for them -- like snow. That's because snow covers cameras critical to those cars' self-awareness and tricks sensors into perceiving obstacles that aren't there, and because snow obscures road signs and other structures that normally serve as navigational landmarks. In an effort to spur on the development of cars capable of driving in wintry weather, startup Scale AI this week open-sourced Canadian Adverse Driving Conditions (CADC), a data set containing over 56,000 images in conditions including snow created with the University of Waterloo and the University of Toronto. While several corpora with snowy sensor samples have been released to date, including Linköping University's Automotive Multi-Sensor Dataset (AMUSE) and the Mapillary Vistas data set, Scale AI claims that CADC is the first to focus specifically on "real-world" driving in snowy weather. "Snow is hard to drive in -- as many drivers are well aware. But wintry conditions are especially hard for self-driving cars because of the way snow affects the critical hardware and AI algorithms that power them," wrote Scale AI CEO Alexandr Wang in a blog post.

Defense One's Patrick Tucker joins the podcast to discuss the set of rules to govern how the Defense Department develops and uses AI. DoD adopts new ethical principles for the use of artificial intelligence – SpaceNews.com