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While the world of AI, including major players like?DALL.E 2,?Stable Diffusion, and the most recent?ChatGPT, is gunning on?Generative AI,?DeepMind?is laying low on the creative front and is focusing on some ‘real’ and breakthrough innovations.
These includes developing AI agents for games like?AlphaGo,?AlphaStar,?DeepNash, and more, to the revolutionary protein folding model,?AlphaFold, and the most recent 'matrix multiplication algorithms' discovery platform,?AlphaTensor?and auto-code generator?AlphaCode, which beat close to 50 percent of human coders at CodeContest, a highly competitive programming competition.?
All of these suggest DeepMind's focus on solving intelligence, a tangible path towards artificial general intelligence (AGI). DeepMind told?AIM?that it is not averse to?Generative AI.?
Citing?Flamingo?– a visual language model for few-shot learning – the head of research for AI for science and reliability,?Pushmeet Kolhi, in a recent interaction with?AIM, said that they have made some valuable scientific contributions that can not be ignored. He said that they have?done a lot of work on this?and published research papers. Besides Flamingo, DeepMind has also built generative models like?Gato?that can be taught to perform 604 tasks, including image captioning, playing Atari games, stacking blocks with a robot arm, and engaging in a conversation.?
DeepMind seems ahead of most research institutes as it looks at safety as one of the key parameters before releasing its technology to the community or public. As opposed to?Meta’s Galactica, which was pulled down three days after its launch, or a bunch of text-to-image models, which are hurting?artists' sentiments?alongside?biases?based on gender, race and others.?
ALPHAFOLD
The Biggest AI Breakthrough Ever
The man behind one of the greatest AI breakthroughs,?AlphaFold, Pushmeet Kolhi, shared with us some of the learnings and efforts that goes into developing such models. "AlphaFold is a great example of how we can leverage AI," said Kolhi. He said everything in this world is made up of proteins, and?AlphaFold?helps the scientific community understand proteins much better.?
"Understanding how protein will fold into shapes is crucial to understanding how organisms function and, eventually, how life itself works," said Kolhi. Previously, only 17 percent of the roughly 20,000 proteins in the human body had their 3D structures, but now, thanks to?AlphaFold, it gives us access to almost all the proteins known to humans – i.e. close to 98.5 percent of the human proteome.?
This is a giant leap, considering its role in accelerating drug discovery, developing new medical care solutions and more.?Read more here.
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AIM FIRESIDE CHAT
Google Cloud's Data Leaders Exchange
Google Cloud, alongside Analytics India Magazine, recently organised a fireside chat on 'Building a Data-Driven Organisation with Modern Business Intelligence,' led by Google's customer engineer, Raghu Vansh Dubey, alongside Purplle.com's head of engineering, Vivek Parihar.?
The data leaders discussed at length some of the business and technical challenges organisations face while making data-driven decisions, alongside solutions on how to harness the data to generate meaningful insights that drive value. Check out the session below.?
IBM
India's Future Relies on Data Engineering, Not Data Models
IBM's country leader of data, AI and automation, Siddhesh Naik, told AIM that 'India has no dearth of data' and lauded the central government's initiative to solve data challenges across sectors, particularly in healthcare and others.?
Emphasising the AI governance aspects, he said that most companies are moving to multi-cloud and hybrid environments, pushing teams to work in a unison across all departments within the organisation. "This has led to data democratisation being an essential asset to enterprises," said Naik.?
Read more?here.
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