Tag: AI

In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals.

In today’s tutorial we’re talking about getting super slow motion out of your camera for free in DaVinci Resolve 16. Using features in the free version of Davinci resolve you can easily turn your 60 FPS footage into smooth 480 FPS shots making it 8 times slower.

From SIRI to self-driving cars, artificial intelligence (AI) is progressing rapidly. While science fiction often portrays AI, as robots with human-like characteristics, AI can encompass anything from Google’s search algorithms, to IBM’s Watson, to autonomous weapons. There are some true and important questions, where even the AI experts disagree.

Microsoft (MSFT) on Tuesday announced that it has built one of the top five supercomputers in the world designed specifically for OpenAI. The company made the announcement during its Build developers conference, which is being held virtually rather than in person in Seattle where it is usually held each year. The supercomputer, Microsoft says, will be used to train OpenAI’s own artificial intelligence models. OpenAI, which was founded in 2015 and received initial funding from the likes of Elon Musk and Sam Altman. Musk has since left the company, while Altman is now its CEO. The company is working to create artificial general intelligence, or AI that is capable of outperforming humans, according to the group’s charter. The firm says its main concern is that such technologies benefit all of humanity, while ensuring its power doesn’t become concentrated in the hands of a few. The new supercomputer has an incredible 285,000 CPU cores, 10,000 graphics processing units, and 400 gigabits per second of connectivity for each GPU server. While the computer ranks in the top five of the most powerful machines in the world, Microsoft won’t say exactly where it falls on that list.

Artificial Intelligence or AI is the future of technology, and it has already become a reality as companies have started building intelligent systems with the help of AI. In this video, you’ll learn what Artificial Intelligence is all about, and how did it emerge. You will also learn about the various applications of AI and look at the difference between Artificial Intelligence, Machine Learning, and Data Science. Finally, you will understand the uses of Machine Learning.

The question, “can a machine be made to think like a person?” has always been tied to strategy games. Games, with their clear rules and obvious winners and losers, were perfect proving grounds for early computer scientists, who could break them down into clearly defined problem sets. Audiences could marvel at the progress of man vs machine face offs, even if they didn’t fully understand the underlying technology.

The earliest AI game systems relied on a brute force, top-down approach: programmers downloaded every possible outcome into their AI systems, which were built around narrowly defined, rule-based criteria. In the 1950s, the earliest versions of neural networks and machine learning arrived. This represented a shift towards bottom-up programming, systems designed to determine the probability of various outcomes based on training data. One early system, a virtual rat solving a maze, was made up of vacuum tubes, motors, and clutches. As the rat navigated, the machine learned and shifted probabilities.

IBM debuted their first AI Grand Challenge — a multi-year effort meant to push the limits of artificial intelligence — in 1997. Deep Blue beat reigning chess world champion Gary Kasparov, and was seen as the final triumph for the top-down approach. In the last decade, advances in machine learning, deep learning, and natural language processing paved the way for AIs like Watson on Jeopardy!, AlphaGo, and Dota 2—increasingly complex systems that still existed within the framework of games.