Library sales to streaming companies have helped to keep revenue flowing for content owners during lockdown. Now, they can take advantage of a new technology that can digitally insert branded products and promotional items into finished content. Its platform uses AI to identify the most natural and meaningful placement opportunities, and then employs VFX technology to insert real-world objects that weren't in the original shoot, like a vehicle or a bag of potato chips, or overlays existing brand imagery with new product shots. Mirriad can boast an impressive list of media clients it has worked with, including Tencent Video, 20th Century Fox, RTL, Channel 4, France TV and ABC. Brands they have helped include Pepsi, Sherwin Williams, P&G, Huawei and T-Mobile.

Among enterprises that have already adopted artificial intelligence (AI) solutions, more than half spent north of $20 million on the technology in the past 12 months alone, according to new reports from Deloitte. Based on a poll of 2,737 IT and line-of-business executives, the State of AI in the Enterprise report claims enterprises spent funds acquiring both new technology and increasing their talent pool. The report divides the respondents into three distinct categories: Seasoned Adopters, Skilled and Starters. Among Seasoned Adopters (a quarter of the entire poll base), two thirds (68 percent) spent more than $20 million last year. Many (81 percent) also said they broke even on the technology in less than two years.

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This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. The short excerpt below from the 1938 film La Femme du Boulanger (The Baker's Wife) ingeniously depicts how the human mind can extract deep meaning from life experiences and perceived situations. In the movie, directed by Marcel Pagnol, the baker Aimable welcomes his wife Aurelie, who has just come back after running off with a shepherd days earlier. While Aimable treats Aurelie with sweet words and a heart-shaped bread (which he had baked for himself), he shows no kindness toward Pomponette, his female cat who coincidentally returns home at the same time as Aurelie, after abandoning her mate Pompon for a chat de gouttière (alley cat). Aimable calls Pomponette ordur (junk) and a salope (a rude term) who has run off with un inconnu (a nobody) and bon-a-rien (good for nothing) while the poor Pompon has been miserably searching for her everywhere.

Do you need a human to create a beautiful scent? That's the question being asked as artificial intelligence (AI) starts to infiltrate the perfume industry. Companies are increasingly turning to technology in order to create more bestselling, unique fragrances that can be produced in just minutes. Last year, Swiss-based fragrance developer Givaudan Fragrances launched Carto, an artificial Intelligence-powered tool to help perfumers. Through machine learning (a way computers improve outcomes automatically by learning from past results) Carto can suggest combinations of ingredients.

Microsoft is shedding its empathetic chatbot Xiaoice into an independent entity, the U.S. software behemoth said (in Chinese) Monday, confirming an earlier report by the Chinese news site Chuhaipost in June. The announcement came several months after Microsoft announced late last year it would close down its voice assistant app Cortana in China among other countries. Xiaoice has over the years enlisted some of the best minds in artificial intelligence and ventured beyond China into countries like Japan and Indonesia. Microsoft said it called the shots to accelerate Xiaoice's "localized innovation" and buildout of the chatbot's "commercial ecosystem." The spin-off will see the new entity license technologies from Microsoft for subsequent research and development in Xiaoice and continue to use the Xiaoice brand (and Rinna in Japanese), while Microsoft will retain its stakes in the new company.

Imagine, droids came to the 21st century with the knowledge of the future but only had current technology to rewrite their Star Wars story. In this article, we will see how a droid (machine learning model) generates its Star Wars story using knowledge of the future (Star Wars books). The model takes the input sequence of words. We use LSTM to understand the context in a sentence. Since simple RNN would have vanishing gradient problem, so for the text generation I am using LSTM.

It's time to reset, re-create and collaborate on a new paradigm where Compassion and Kindness are the prevailing norms, one where technology is a tool for making humans more humane and creating an Abundant world for the majority. Join us to turn this vision into reality. Let's look into the'White Mirror' … Inspired by Black Mirror (Netflix series) - 'White Mirror' (holding name while we devise a suitable one) provides an immersive flash forward (glimpse/vision) of our Utopian future. In uncertain times (like now), technological disruption and impactful stories can change our mental worldview - our perceptions and eventually our reality. Black Mirror is a powerful show, depicting a dystopian future caused in part by misused evolving technologies.