We have officially entered the post-truth era. With the rise of deep-fakes, lying politicians, and Surkovian disinformation campaigns, it's hard to get a handle on what truth even is. For a few months I was deep in a skeptical hole where I had truly lost grip on what I considered "real", and I had to claw my way out by getting real silly and coming up with a formal definition that we might all agree with. I'll define terms shortly and it'll be clear that I'm abstracting away many messy details, but I will try to convince you that this basic structure agrees with many of our informal intuitions and is useful for decision-making -- potentially even serving as an objective function for the automated scientists of the near future. Even better: perhaps it can be used as an objective function for search-systems or newsfeeds, only returning the top results as ranked by their truth-value.

Founded by Eilon Reshef and Amit Bendov, Gong is also a cloud-based business and uses AI (artificial intelligence) to transcribe and analyze …

The Very Human Labor That Powers Artificial Intelligence. Crowd-working platforms like Amazon’s Mechanical Turk obscure—and exploit—the human …

It goes without saying that the film industry has been revolutionized by technology. Although stop motion animation isn't as popular as it once was, it is also benefitting from technological innovation. Laika, the studio behind films like "Coraline" and "Kubo and the Two Strings," is using artificial intelligence (AI) technology from Intel to clean up its projects. The use of machine learning tools helps the studio cut back on what used to require thousands of hours of manual labor. It is yet another example of how AI can be impactful across every sector.

With the immense amount of buzz since its release in June, OpenAI's GPT-3 has come a long way of deceiving people -- starting from creating a fake blog to writing opinionated articles along with posting Reddit comments and roasting Elon Musk's tweets. Such advance tasks handled by GPT-3 made people, as well as researchers, realise its immense potential of creating artificial general intelligence. The model not only learned how to code but also to compose music, art, poetry as well as do mathematics -- been applied to many interesting ways. Adding to its accomplishments, GPT-3 has now come up with a short film screenplay -- Solicitors. An approximately 4 minutes short film -- Solicitors -- was written by the GPT-3, which isn't the best screenplay but is even not the worst, considering a machine has written it. The script was initiated by a few lines, written by two of senior student filmmakers from Chapman University, that was fed on to the machine, and the rest of the screenplay has been generated by leveraging the massive language model.

The free to list portal Residential People is launching a machine-learning platform allowing agents to specifically target local landlords and emphasise their own websites. Called nurturingAI, the platform will analyse lead enquiries that agents receive via their own websites and major portals, package them into postcodes and thus allow agents to run highly localised marketing campaigns. Residential People says this means more promotion for agents' websites "helping them compete with property portals head to head and take back control." The platform allows SMS and WhatsApp messaging, Email marketing, social media, web and mobile marketing. Christopher May, Residential People co-founder, says: "We wanted nurturingAI to be an agent's dream marketing tool, and as such, we've dedicated years of research and feedback from those in the industry, to create a product that we truly believe will be revolutionary to the property sector."

Language carries implicit human biases, functioning both as a reflection and a perpetuation of stereotypes that people carry with them. Recently, ML-based NLP methods such as word embeddings have been shown to learn such language biases with striking accuracy. This capability of word embeddings has been successfully exploited as a tool to quantify and study human biases. However, previous studies only consider a predefined set of conceptual biases to attest (e.g., whether gender is more or less associated with particular jobs), or just discover biased words without helping to understand their meaning at the conceptual level. As such, these approaches are either unable to find conceptual biases that have not been defined in advance, or the biases they find are difficult to interpret and study. This makes existing approaches unsuitable to discover and interpret biases in online communities, as such communities may carry different biases than those in mainstream culture. This paper proposes a general, data-driven approach to automatically discover and help interpret conceptual biases encoded in word embeddings. We apply this approach to study the conceptual biases present in the language used in online communities and experimentally show the validity and stability of our method.

In my experience, when you ask a person what their favorite film is, you'll often be told the title of the film that made the most impression on them at a most impressionable age. For some, it was "The Monster Squad" (1987). A pastiche of "The Goonies," featuring a group of suburban American kids up against the classic Universal monsters, instead of a pirate, the film mixes horror and comedy in the style of those Abbott & Costello Universal film spoofs (some of which are very good). "The Monster Squad" was not very well received by the critics (me included) or the public, which stayed away in droves to quote Sam Goldwyn ("The Lost Boys" preceded it by two weeks). But a funny thing happened.

Let's dive into the realms of Artificial Intelligence. We're thrilled to announce our latest podcast with Lara Heller, British Filmmaker, Actress and Producer of an upcoming movie SYNTH. SYNTH – Winner of Venice Film Awards for Best Sci-Fi is inspired by the true story of an AI application called Sophia, a Humanoid Robot made by Hanson Robotics in Hong Kong. Sophia is the first AI in the world to receive citizenship in Saudi Arabia. She further shares her views on how disruptive technologies are transforming everyday lives and impacting the film industry.

Haunted house stories are having a moment. Or it could be Netflix's fault--its release of The Haunting of Bly Manor has reinvigorated the discourse about what makes a good haunted house story and whether or not Mike Flanagan, the horror director who, between Bly Manor and Hill House and Doctor Sleep seems to be veritably obsessed with them, really has what it takes to make one that feels both scary and fascinating. Haunted houses are special because houses are special. They keep us safe--until they don't--and are both entirely familiar to us and entirely unfamiliar, as anyone who's had to deal with serious home repairs could tell you. People have intimate relationships with the places where they live.