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At the forefront of some fascinating AI innovation is Hassabis grew up in London and was a master chess player from a young age, competing in national games throughout his childhood. He completed his A-levels two years early at the age of 15 and 16, before later going on to study at the University of Cambridge and graduating with a double first in 1997. In his early career, he was a video game AI programmer and designer, working for several video game companies. He then returned to studying and completed a PhD in Cognitive Neuroscience from UCL in 2009 and developed a theoretical understanding of AI connects your brand with the world’s leading executives in the fields of AI strategy, machine learning and digitally disruptive technologies – thought leaders and innovators driving this pioneering sector. We are the trusted authority at the cutting-edge of developments in artificial intelligence, machine learning and automation; guiding the business leaders, influencers and disruptors that are shaping the industry.

As the world of AI moves at a blistering pace, Google is making sure they stay ahead of the curve by bringing together the best of the best. The Brain team from Google Research and DeepMind have been at the forefront of AI development, responsible for groundbreaking innovations such as AlphaGo, Transformers, and AlphaFold. Now, united under the Google DeepMind banner, this all-star team is gearing up to push the limits of AI even further. With Demis Hassabis at the helm as CEO of Google DeepMind, the tech giant is ready to unlock the full potential of general AI systems. Hassabis' leadership and vision will help drive the development of next-generation AI-powered products and services that will revolutionize industries across the globe. In a strategic move, Jeff Dean has been appointed as Google's Chief Scientist, reporting directly to Sundar Pichai. Dean will serve as Chief Scientist for both Google Research and Google DeepMind, working closely with Hassabis to shape the future of AI research and head up the most critical technical projects. This bold new direction for Google is set to redefine the landscape of artificial intelligence, opening up limitless possibilities for the tech giant and its users. With Google DeepMind's combined talent and resources, we can expect an exciting era of AI innovation, changing lives and shaping the future for the better.

Demis Hassabis, the CEO of Google’s DeepMind, has boldly predicted that human-level artificial intelligence (AI) could be achieved in just a few years. The announcement was made during an interview at the Wall Street Journal’s Future of Everything Festival, where he discussed the need to develop artificial general intelligence ( What is Artificial General Intelligence? Artificial general intelligence refers to machines or algorithms that can replicate human intelligence. Unlike narrow AI, designed to perform specific tasks, AGI would be able to learn and adapt to new situations, much like humans. This technology could revolutionize the healthcare, transportation, and finance industries. Also Read: The Progress of AGI Development According to Demis Hassabis, CEO of DeepMind, the progress made in recent years toward AGI development has been impressive, and he does not see any signs of it slowing down. He believes that progress may even accelerate, leading to the achievement of human-level AI within a decade. However, his prediction comes amid growing concerns about the risks of advancing AI technology too quickly. Geoffrey Hinton, another top mind at Google, recently quit the company to warn of these dangers and called for a brief halt to AI development. Also Read: Hassabis’ Response to AI Risks In contrast to Hinton, Demis Hassabis believes that developing AGI responsibly is critical to mitigating any risks associated with the technology. He stressed the importance of trans...

UNITED NATIONS, June 12 (Reuters) - U.N. Secretary-General Antonio Guterres on Monday backed a proposal by some artificial intelligence executives for the creation of an international AI watchdog body like the International Atomic Energy Agency (IAEA). Generative AI technology that can spin authoritative prose from text prompts has captivated the public since ChatGPT launched six months ago and became the fastest growing app of all time. AI has also become a focus of concern over its ability to create deepfake pictures and other misinformation. "Alarm bells over the latest form of artificial intelligence – generative AI – are deafening. And they are loudest from the developers who designed it," Guterres told reporters. "We must take those warnings seriously." He has announced plans to start work by the end of the year on a high-level AI advisory body to regularly review AI governance arrangements and offer recommendations on how they can align with human rights, the rule of law and common good. But on Monday he added: "I would be favorable to the idea that we could have an artificial intelligence agency ... inspired by what the international agency of atomic energy is today." Guterres said such a model could be "very interesting" but noted that "only member states can create it, not the Secretariat of the United Nations". The Vienna-based IAEA was created in 1957 and promotes the safe, secure and peaceful use of nuclear technologies while watching for possible violations o...

The boss of Google's artificial intelligence arm DeepMind has told a major tech conference in London that there are both risks and opportunities with the advancement of Demis Hassabis told hundreds of delegates at London Tech Week there are “incredible opportunities” with AI but at the same time “attendant risks with any new Aside from being the head of Google's AI unit, Mr Hassabis is a government adviser on AI and among the industry experts who signed a statement saying that “mitigating the risk of extinction from AI should be a global priority”. The statement compared the potential risks from AI technology to nuclear war and pandemics. In conversation with UK Prime Minister Rishi Sunak, Mr Hassabis said there was an “access issue” to prevent “bad actors using these technologies in bad ways”. New safeguards such as encrypted watermarking could help tackle “deep fakes”. But there was uncertainty about wider risks, such as “alignment, controllability, interpretability of these systems”, he said. 'Proceed with exceptional care' “We need to understand and research those systems a lot more over the next few years to have a better handle on what the boundaries are of these systems, including the risks, and then we can put the right guardrails in place. “In the situation where there's a high degree of uncertainty, but huge potential impact either way, I think the only the right way to proceed is with the precautionary principle. “Proceed with exceptional care, be optimistic abo...

• 00:00 I want to start with a scientific discoveries. So obviously Alpha fold incredible progress and achievements around predicting the 3D structures of proteins. What do you think? Are the next likely scientific or medical breakthroughs that are going to be a high powered in, say, the next two to five years? I think lots of exciting things are going to happen in the next two to five years in science and medicine because of A.I. I think Alpha, as you mentioned, is just the beginning. I hope when we look back on this in 10 years time, it will be, you know, sort of herald or the dawn of a digital biology, what we like to call digital biology, where we can do a lot of the exploration work, saying things like drug discovery, finding new drug compounds, curing diseases in silicone on computers mostly, and then at the final step, validate that in the lab. And I think that will massively accelerate the finding of cures for diseases and disease understanding. Is it do you think it's realistic to think in our lifetime A.I. could help us conquer and eliminate cancer, for example, or dementia? Is that a realistic goal, a likelihood? I think that it's hard to predict the exact timelines of these things, but I think in the next decade, if you I think it could be very possible that we could build these kinds of A.I. tools to help the world's experts and and medical researchers make some fast breakthroughs in all of these types of areas. As we've seen with Apple Fold, where we've now u...

Isaiah Richard, Tech Times 15 November 2021, 08:11 am Tech CEO Demis Hassabis is known for his role in DeepMind, an artificial intelligence company based in the United Kingdom and known as the subsidiary of Google's Alphabet. The CEO and his focus on the company have earned it one of the top recognitions in the world, and it is currently one of the top companies sought out with regards to AI. Tech CEO: Demis Hassabis from DeepMind (Photo : JUNG YEON-JE/AFP via Getty Images) Google Deepmind head Demis Hassabis speaks during a post-match press conference after the fifth and final game of the Google DeepMind Challenge Match between South Korean 'Go' player Lee Se-Dol and Google-developed supercomputer AlphaGo at a hotel in Seoul on March 15, 2016. A Google-developed computer programme had the last word in its machine vs human challenge with South Korean Go grandmaster Lee Se-Dol, winning the final game for a sweeping 4-1 series victory. He briefly joined Lionhead Studios before forming his own company, Elixir Studios are known for game development. He furthered his career for mind sports Olympiads like the Pentamind World Championships from years 1998 to 2003 and the Decamentathlon in 2003 and 2004. Alongside this, he is also known for winning the World Series of Poker for six different seasons. Hassabis' professional career ended in 2003 where the player retired. Read Also: DeepMind's AI and its Influence In 2014, Google's Alphabet purchased DeepMind from Hassabis but kept h...

The report finds that GenAI could add “$2.6 trillion to $4.4 trillion annually” to the global economy, close to the economic equivalent of adding an entire new country the size and productivity of the United Kingdom to the Earth ($3.1 trillion GDP in 2021). To construct the report, McKinsey’s analysts examined 850 occupations and 2,100 detailed work activities across 47 countries, representing more than 80% of the global workforce. A bigger impact on an accelerated timeline The $2.6 trillion to $4.4 trillion economic impact figure marks a huge increase over McKinsey’s previous estimates of the AI field’s impact on the economy from 2017, up 15 to 40% from before. This upward revision is due to the incredibly fast embrace and potential use cases of GenAI tools by large and small enterprises. Furthermore, McKinsey finds “current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70% of employees’ time today.” Does this mean massive job loss is inevitable? No, according to Alex Sukharevsky, senior partner and global leader of QuantumBlack, McKinsey’s in-house AI division and report co-author. “You basically could make it significantly faster to perform these jobs and do so much more precisely than they are performed today,” Sukharevsky told VentureBeat. What that translates to is an addition of “0.2 to 3.3 percentage points annually to productivity growth” to the entire global economy, he said. However, as the report notes, “w...