AI can free up a lot of the marketers' time, currently spent on mundane tasks, so that they focus on what they do best--be creative, think, ideate and innovate. All of us have heard about driverless cars, automated machines, bots and virtual assistants, even if we don't fully understand what these terms mean. All of these are manifestations of self-learning algorithms, smart technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The application of these technologies is no longer just limited to sci-fi movies and erudite research papers. Directed by data-driven insights from these powerful technologies, traditional decision-making by experienced professionals is slowly being transformed.
Though artificial intelligence has evolved recently and appears to be a new phenomenon in modern society, it is much older than you would imagine. Being actively involved in the global AI community, I've noticed that many people still associate AI with sci-fi Hollywood movies displaying the distant future powered by intelligent robots and machines. However, this perception is waning as AI becomes more commonplace in our daily lives. The early instances of intelligent machines were found in ancient Greek mythology with conceptions of mechanical robots made to help the Greek god Hephaestus. Following were some milestones in the history of AI, which started as a field of research in the late 1950s with the development of the first algorithms to solve complex mathematical problems.
A research paper from the Swedish Media Council outlines a possible new approach to the automatic identification of'harmful content', by considering audio and video content separately, and using human-annotated data as a guiding index for material that may disturb viewers. Learning to Predict Harmfulness Ratings from Video, the paper illustrates the need for machine learning systems to take account of the entire context of a scene, and illustrates the many ways that innocuous content (such as humorous or satirical content) could be misinterpreted as harmful in a less sophisticated and multimodal approach to video analysis – not least because a film's musical soundtrack is often used in unexpected ways, either to unsettle or reassure the viewer, and as a counterpoint rather than a complement to the visual component. They also observe that to date, similar experiments have suffered from a sparsity of labels for full-length movies, which has led to prior work oversimplifying the contributing data, or keying in on only one aspect of the data, such as dominant colors or dialogue analysis. To address this, the researchers have compiled a video dataset of 4000 video clips, trailers cut down into chunks of around ten seconds in length, which were then labeled by professional film classifiers that oversee the application of ratings for new movies in Sweden, many with professional qualifications in child psychology. Under the Swedish system of film classification, 'harmful' content is defined based on its possible propensity to produce feelings of anxiety, fear, and other negative effects in children.
Lucy, the virtual being AI from Fable Studio's Wolves in the Walls virtual reality experience, is getting around. Now she has busted the fourth wall and moved into the real, or virtual world, of the virtual Sundance Film Festival. This week, Lucy appeared as a guest at Sundance. She appeared in Zoom sessions with other attendees, and they were able to quiz her. As an artificial intelligence character, she responded with her own comments and views on watching expressionist movies at Sundance.
Model deployment is one of the most important skills you should have if you're going to work with NLP models. Model deployment is the process of integrating your model into an existing production environment. The model will receive input and predict an output for decision-making for a specific use case. There are different ways you can deploy your NLP model into production, you can use Flask, Django, Bottle e.t.c .But in today's article, you will learn how to build and deploy your NLP model with FastAPI. In part 1, we will focus on building an NLP model that can classify movie reviews into different sentiments.
Artificial Intelligence (AI) is a transformative technology. It may undoubtedly prove beneficial for the future but a complete AI takeover is also highly likely, if due measures aren't taken now. AI is creating fear and excitement by disrupting several industries. Technology taking over humans has always been a very common theme in science fiction movies for as long as we can remember. In the movie I, Robot starring Will Smith, for instance, it is portrayed that robots become intelligent enough to take over humans entirely.
When we think about the future of our world and what exactly that looks like, it's easy to focus on the shiny objects and technology that make our lives easier: flying cars, 3D printers, digital currencies and automated everything. In the opening scene of the animated film WALL-E – which takes place in the year 2805 – a song from "Hello, Dolly!" happily plays in the background, starkly contrasting the glimpse we get of our future planet Earth: an abandoned wasteland with heaping piles of trash around every corner. Humans had all evacuated Earth by this point and were living in a spaceship, where futuristic technology and automation left them overweight, lazy and completely oblivious to their surroundings. Machines do everything for them, from the hoverchairs that carry them around, to the robots that prepare their food. Glued to their screens all day, which have taken control of their lives and decisions, humans exhibit lazy behaviors like video chatting the person physically next to them.
The Show 5 (second-gen) is one of several new touchscreen displays from Amazon this year, including the all-new Echo Show 5 (second-gen) Kids edition and the recently-revamped Echo Show 8 (second-gen). This is the first time that Amazon has refreshed the Echo Show 5 since 2019, but the upgrades are minimal between the first and second-gen models. However, if you're on the hunt for a compact Alexa display and don't already have one, the new Echo Show 5 is worth a look. The second-gen Show 5 comes with a white power adapter (15W) that spans about five feet in length. Plug the cord into the display, connect it to the internet, and follow the on-screen prompts to complete the setup process.