Hannah Fry: 'AI can do some superhuman things - but so can forklifts' Mathematician Hannah Fry travels to the front lines of AI in her new BBC documentary AI Confidential with Hannah Fry. The chances are that you think about artificial intelligence far more today than you did five years ago. Since ChatGPT was launched in November 2022, we have become accustomed to interacting with AIs in most spheres of life, from chatbots and smart home tech to banking and healthcare. But such rapid change brings unexpected problems - as mathematician and broadcaster Hannah Fry shows in AI Confidential With Hannah Fry, a new three-part BBC documentary in which she talks to people whose lives have been transformed by the technology. She spoke to New Scientist about how we should view AI, its role in modern mathematics - and why it will upend the global economy.

Common sense in AI is about AI going beyond its limitations to become'truly' intelligent. John McCarthy, the father of AI, defined AI as "The science and engineering of making intelligent machines, especially intelligent computer programs." AI is a technology that makes a computer, robot, or a program behave intelligently and perform tasks that were previously never expected from machines. Artificial intelligence primarily helps in creating expert systems that can exhibit intelligent behavior, learn from their users, and demonstrate what they think is best under a particular situation. Apart from helping people in certain circumstances, AI also allows machines in understanding and accepting the behavioral traits from their users. Artificial intelligence helps industries globally in numerous ways; some of them include natural language processing, speech recognition, handwriting recognition, and robots that assist in learning and healthcare.

Today, both humans and machines generate the amount of data. Far outpacing humans' ability to absorb, interpret, and make complex decisions based on that data. Artificial Intelligence has made a lot of advancements recently. There is a lot of research happening in almost all fields of AI like quantum computing, healthcare, autonomous vehicles, computer vision, the Internet of Things, robotics, and more. This article features the top 10 research and thesis topics for AI projects in 2022.

DRL is an AI technique that aims to take appropriate actions to maximise reward in a certain situation (game/simulation/reality). Before further explaining, it is necessary to give some definitions: - Agent: It is the "player" of the game, the entity who's taking actions, he follows a strategy (called policy) to evolve in the environment. His ultimate goal is to maximize his reward. The environment is said to be in a state s at a given time - Policy: It is the strategy which drives the Agent actions, it is designed by a NN. The policy can change as the Agent learns from his experiences - Reward: A metric aiming to determine the performance of the Agent's actions within the environment Now let's take an example to illustrate the mecanisms of DRL: The famous card game of Poker Texas Hold'em (PTH). In PTH, the agents are the players and the environment is the set of rules of PTH (blinds, number of cards, minimum bet, playing order…).

Honda has announced it will be the first automaker to mass-produce Level 3 autonomous cars, starting next year. The company said a version of the Honda Legend luxury sedan with'newly approved automated driving equipment' would be available before the end of March 2021. There are six levels of autonomous vehicles - Level 3 cars have environmental awareness capable of, say, passing a slow-moving car. But Honda's system will require a human driver to be alert enough to take the wheel at a moment's notice. On Wednesday, the Japanese government certified Honda's autonomous'Traffic Jam Pilot' driving technology to take the wheel in certain situations, like on congested highways.

We've all been told that anxiety can ruin performance. But according to a new study, small doses of it at work can make you better at your job by keeping you focused and motivated. A total lack of anxiety in the workplace, while perhaps rare, may even lead to an unmotivated workforce, researchers claim. Workers who overcome their anxiety and channel it into their jobs may make more effective employees, research suggests. The discovery was made by researchers are the University of Toronto Scarborough (UTS), who looked at the results of previous research on anxiety.

When it comes to "life and limb", Germans remain skeptical as regards artificial intelligence. But a recent study shows that many people think it is capable of making fairer decisions than their fellow humans. Applications using artificial intelligence (AI) are developing at a breathtaking pace. However, opinions among the population remain constant, at least in some areas. In the electronica Trend Index survey in October 2016, about two thirds of Germans believed AI in electronic devices was a good idea.

When you think of sports analysis, you probably think of raw stats like time in the opposing half or shots on goal. However, that doesn't really tell teams how they should have played beyond vague suggestions. Researchers at Disney, Caltech and STATS believe they can do better: they've developed a system that uses deep learning to analyze athletes' decision-making processes. After enough training based on players' past actions, the system's neural networks can predict future moves and create a "ghost" of a player's typical performance. If a team flubbed a play, it could compare the real action against the predictive ghosts of more effective teams to see how players should have acted.

The Toronto Raptors already have a manual ghosting system where coaches mark out where they think players should have been. It can create ghosts in real time, even in soccer (aka football) and other sports where the continuous play can lead to predictions that gradually veer from realistic outcomes. The scientists rely on imitation learning, where AI bases its actions on demonstrations, to keep that long-term prediction in check. The early results are promising. In an example soccer match between Fulham and Swansea, a league-average ghost team replacing Swansea performed about as well in a defensive situation... not well at all, unfortunately.

On screen an adult talks to a baby, showing images and words that the baby identifies and says aloud. But this isn't a parent talking to a child - rather, it's a researcher talking to an artificially intelligent human known as BabyX. The virtual infant learns and acts just like a real baby, and it could be an important step to creating artificially intelligent brains. Scientist at Auckland University have designed a virtual baby that learns. Called BabyX the computer programme can recognise words and images (shown).