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Demis Hassabis



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Demis Hassabis is a British neuroscientist and artificial intelligence researcher. He is also a videogame designer and entrepreneur. He has been awarded the Pentamind board-game championship five times. He has traveled extensively throughout his career in order to improve AI. He has won the World Championship of Computer Chess chess tournament. He is the world's leading researcher in cognitive neuroscience, a field which he has helped to create.

The chess prodigy

Demis Hassabis is a former child chess prodigy who has now turned his talents towards science. He is the co-founder and CEO of DeepMind which develops artificial intelligence. Computer scientist Demis Hassabis, a chess prodigy, is also applying the same chess values in science and technology. His work raises questions about artificial Intelligence and the future direction of chess.

Hassabis was 14 when he was awarded the rank of master in Chess. At the time, he was also the second-best under-14 player in the world. At fourteen, he had completed his GCSEs. He was two years ahead than his peers. He continued on to A-level mathematics and physics studies, winning the UK under-11 champions title at nine. He was eight when the prodigy entered the world of computer games, purchasing a ZX Spectrum computer.


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Cognitive neuroscience researcher

Cognitive neuroscience refers to a branch of science in which an individual's imagination plays a vital role. Amnesia is believed to be caused by brain damage to the hippocampal. His research on autobiographical memories has allowed us to understand the link between episodic memory and imagination. His research was widely cited, in Science and Nature as well as many other scientific journals.


A former child prodigy, Demis Hassabis completed his undergraduate studies at Cambridge University and then founded a pioneering game studio, Elixir Studios. His company has won numerous awards for creating games for VivendiUniversal as well global publishers like Electronic Arts (Disney). He returned to academia to earn his PhD in cognitive neuroscience from University College London. After that, he was a Massachusetts Institute of Technology postdoctoral fellow. Science named Hassabis’s work on memory-imagination research as one the ten most important scientific breakthroughs of 2007.

Video game designer

Hassabis started his career as a computer programmer. Then he moved into business and won a job with Amiga Power magazine. He co-designed a videogame called "Theme Park", that was sold over ten thousand units and won The Golden Joystick Award. He has since founded his own video game studio, Elixir Studios, and has worked with various publishers, including Microsoft and Vivendi Universal.

Hassabis became a champion chess gamer at 13 and began playing against adults. Bullfrog Productions eventually hired him as a videogame developer, where he helped to create Theme Park and Syndicate. Hassabis, who was a student, also worked alongside Peter Molyneux as a games designer. He developed Theme Park - the first management simulation game.


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Entrepreneur

British entrepreneur Demis Hassabis is an artificial intelligence researcher. He is best known for his work using video and games. He is also neuroscientist and a five-time Pentamind Board Game Champion. Hassabis is currently creating a new game, Mindstorms. This will allow players to solve puzzles through artificial intelligence. Whether it is developing artificial intelligence through games, or creating new ways to make games more fun, Demis is a creative force to be reckoned with.

In 2010, Demis Hassabis founded DeepMind. This company later was acquired by Google. DeepMind’s AlphaGo system beat Fan Hui the European Go champion with a five to zero score in October 2015. The Shogi world championship was won by the DeepMind AlphaGo computer in December 2017. This computer program used both Deep learning and Monte-Carlo Tree Search.




FAQ

What uses is AI today?

Artificial intelligence (AI), which is also known as natural language processing, artificial agents, neural networks, expert system, etc., is an umbrella term. It is also known as smart devices.

Alan Turing wrote the first computer programs in 1950. He was curious about whether computers could think. In his paper "Computing Machinery and Intelligence," he proposed a test for artificial intelligence. The test asks if a computer program can carry on a conversation with a human.

John McCarthy introduced artificial intelligence in 1956 and created the term "artificial Intelligence" through his article "Artificial Intelligence".

There are many AI-based technologies available today. Some are very simple and easy to use. Others are more complex. These include voice recognition software and self-driving cars.

There are two types of AI, rule-based or statistical. Rule-based uses logic for making decisions. An example of this is a bank account balance. It would be calculated according to rules like: $10 minimum withdraw $5. Otherwise, deposit $1. Statistics are used to make decisions. To predict what might happen next, a weather forecast might examine historical data.


Which countries are leaders in the AI market today, and why?

China leads the global Artificial Intelligence market with more than $2 billion in revenue generated in 2018. China's AI industry is led in part by Baidu, Tencent Holdings Ltd. and Tencent Holdings Ltd. as well as Huawei Technologies Co. Ltd. and Xiaomi Technology Inc.

China's government is heavily investing in the development of AI. Many research centers have been set up by the Chinese government to improve AI capabilities. These centers include the National Laboratory of Pattern Recognition and State Key Lab of Virtual Reality Technology and Systems.

Some of the largest companies in China include Baidu, Tencent and Tencent. All these companies are actively working on developing their own AI solutions.

India is another country that is making significant progress in the development of AI and related technologies. India's government is currently focusing their efforts on creating an AI ecosystem.


What does the future look like for AI?

The future of artificial intelligence (AI) lies not in building machines that are smarter than us but rather in creating systems that learn from experience and improve themselves over time.

So, in other words, we must build machines that learn how learn.

This would mean developing algorithms that could teach each other by example.

We should also consider the possibility of designing our own learning algorithms.

It is important to ensure that they are flexible enough to adapt to all situations.


AI: Why do we use it?

Artificial intelligence, a field of computer science, deals with the simulation and manipulation of intelligent behavior in practical applications like robotics, natural language processing, gaming, and so on.

AI is also called machine learning. Machine learning is the study on how machines learn from their environment without any explicitly programmed rules.

AI is being used for two main reasons:

  1. To make our lives easier.
  2. To do things better than we could ever do ourselves.

Self-driving vehicles are a great example. AI can replace the need for a driver.


What is AI and why is it important?

In 30 years, there will be trillions of connected devices to the internet. These devices will include everything, from fridges to cars. The combination of billions of devices and the internet makes up the Internet of Things (IoT). IoT devices can communicate with one another and share information. They will be able make their own decisions. A fridge might decide to order more milk based upon past consumption patterns.

According to some estimates, there will be 50 million IoT devices by 2025. This is a tremendous opportunity for businesses. This presents a huge opportunity for businesses, but it also raises security and privacy concerns.



Statistics

  • Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
  • In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
  • A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
  • In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
  • By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)



External Links

en.wikipedia.org


hbr.org


hadoop.apache.org


medium.com




How To

How do I start using AI?

You can use artificial intelligence by creating algorithms that learn from past mistakes. You can then use this learning to improve on future decisions.

To illustrate, the system could suggest words to complete sentences when you send a message. It would learn from past messages and suggest similar phrases for you to choose from.

You'd have to train the system first, though, to make sure it knows what you mean when you ask it to write something.

To answer your questions, you can even create a chatbot. You might ask "What time does my flight depart?" The bot will answer, "The next one leaves at 8:30 am."

You can read our guide to machine learning to learn how to get going.




 



Demis Hassabis