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Google's DeepMind says it is close to achieving 'human-level' artificial intelligence

Daily Mail - Science & tech

DeepMind, a British company owned by Google, may be on the verge of achieving human-level artificial intelligence (AI). Nando de Freitas, a research scientist at DeepMind and machine learning professor at Oxford University, has said'the game is over' in regards to solving the hardest challenges in the race to achieve artificial general intelligence (AGI). AGI refers to a machine or program that has the ability to understand or learn any intellectual task that a human being can, and do so without training. According to De Freitas, the quest for scientists is now scaling up AI programs, such as with more data and computing power, to create an AGI. Earlier this week, DeepMind unveiled a new AI'agent' called Gato that can complete 604 different tasks'across a wide range of environments'. Gato uses a single neural network – a computing system with interconnected nodes that works like nerve cells in the human brain.

Former schoolboy chess prodigy used AI to open door to finding cures for illnesses

Daily Mail - Science & tech

As DeepMind, the British artificial intelligence (AI) firm owned by Google, claims to have solved one of science's toughest and most enduring mysteries, the'protein folding problem', you can't help but think what sort of genius must be the driving forced behind such a triumph. 'Thrilled to announce our first major breakthrough in applying AI to a grand challenge in science,' writes Demis Hassabis, the company's 44-year-old founder says in reaction to the news. But was it really a surprise that Hassabis' firm had achieved such a feat? Thirty years ago, Hassabis was the world's second best 12-year-old chess player, his career as a future grandmaster set out before him. 'Thrilled to announce our first major breakthrough in applying AI to a grand challenge in science,' writes Demis Hassabis, the company's 44-year-old founder says in reaction to the news But while he loved the game and what it taught him about his own thought processes that brought such success, the youngster realised the game of chess was not what actually interested him. 'It got me into thinking about the process of thought: what is intelligence, how is my brain coming up with these ideas?' Hassabis finished his A-levels at 15, and although he was accepted into Cambridge he would have to wait until he was old enough to enrol.

Deepmind: Is "Gato" a precursor for general artificial intelligence?


Deepmind's Gato solves many tasks, but none of them really well. Does the new AI system nevertheless lead the way for general artificial intelligence? Hot on the heels of OpenAI's DALL-E 2, Google's PaLM, LaMDA 2, and Deepmind's Chinchilla and Flamingo, the London-based AI company is showing off another large AI model that outperforms existing systems. Yet Deepmind's Gato is different: The model can't text better, describe images better, play Atari better, control robotic arms better, or orient itself in 3D spaces better than other AI systems. But Gato can do a bit of everything. Deepmind trained the Transformer-based multi-talent with images, text, proprioception, joint moments, keystrokes, and other discrete and continuous observations and actions.

Google Says It's Closing in on Human-Level Artificial Intelligence


Artificial intelligence researchers are doubling down on the concept that we will see artificial general intelligence (AGI) -- that's AI that can accomplish anything humans can, and probably many we can't -- within our lifetimes. Responding to a pessimistic op-ed published by TheNextWeb columnist Tristan Greene, Google DeepMind lead researcher Dr. Nando de Freitas boldly declared that "the game is over" and that as we scale AI, so too will we approach AGI. Greene's original column made the relatively mainstream case that, in spite of impressive advances in machine learning over the past few decades, there's no way we're gonna see human-level artificial intelligence within our lifetimes. But it appears that de Freitas, like OpenAI Chief Scientist Ilya Sutskever, believes otherwise. "Solving these scaling challenges is what will deliver AGI," the DeepMind researcher tweeted, later adding that Sutskever "is right" to claim, quite controversially, that some neural networks may already by "slightly conscious."

Google-owned DeepMind cracks 50-year-old 'protein folding problem'

Daily Mail - Science & tech

DeepMind, the British artificial intelligence (AI) company owned by Google, has solved a 50-year-old problem in biology. DeepMind's AI system, AlphaFold, cracked the so-called'protein folding problem' – figuring out how a protein's amino acid sequence dictates its 3D atomic structure. A protein's structure is closely linked with its function, and the ability to predict its structure unlocks a greater understanding of what it does and how it works. AlphaFold's neural network was trained with 170,000 known protein sequences and their different structures. The system registered an average accuracy score of 92.4 out of 100 for predicting protein structure, and a score of 87 in the category for most challenging proteins. Because almost all diseases, including cancer and Covid-19, are related to a protein's 3D structure, the AI could pave the way for faster development of treatments and drug discoveries by determining the structure of previously-unknown proteins.