Recently DeepMind, a unit of Google that is dedicated to developing AI-based systems, announced that they have achieved a very high score in a standardized test for protein folding. Basically, they solved the 50-year old problem of how to predict the shape of a protein molecule, starting from the amino acids that compose them. This […]
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The rate of acceleration is increasing! Are you ready? Of course not. No one can really be ready for the jolting times. But we can prepare, and start to be ready. We can acquire a new ability to interpret the world, understand the phenomena around us, applying the lens of the Jolting Technologies paradigm. With
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We take advantage every day of our collective intelligence in order to keep pace with the evolution of a complex world, using the tools that civilization has built over thousands of years. These tools allowed us to organize ever larger groups of people in ways that increasingly leverage their best abilities, instead of just ordering
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At a recent conference on the future of electronics manufacturing, the Chief Architect of Intel, Raja Koduri, presented a compelling picture for delivering a 1000 times increase in the power of AI systems by 2025. He counts on the ecosystem of third parties, as well as Intel’s engineering prowess, to achieve a 4x improvement in
Jolting Technologies are those characterized by an increasing rate of acceleration. When I formulated the paradigm of Jolting Technologies, I had very few data points to start from. I looked at the increasing acceleration in the power of AI applications. In particular I criticized Stanford University’s approach which used a linear interpolation on a logarithmic
NVIDIA Proves that AI Is Jolting Read More »
Flooded by increasing amounts of data, we need ever more evolved tools to be able to interpret them and to act upon them. Artificial Intelligence tools, based on natural language processing, image recognition using neural networks, and via many other approaches, are assisting us to understand the information, including what we ourselves produce. Today computer
Between 2012 and 2018 the power of the infrastructure available for applications in artificial intelligence increased over three hundred thousand times. If it followed Moore’s law, it would have been much less, around 7 times or so. Stanford University in its 2019 report on AI, and in a blog post OpenAI analyzed and illustrated this
The ecosystems of islands, whether biological or economical, allow for unprecedented experimentation, supported by their natural isolation. I’m in Malta, where Artificial Intelligence and Blockchain technologies are being actively supported by the local regulator, giving a clear platform, and sandboxes to try to see what works. Malta has a history of resilience, a small nation
Originally very close to the machine, now computer programming languages take advantage of multiple layers of abstraction and make developers very productive. Various approaches that reflect the needs of the time are developed and adopted. Object oriented programming, integrated development environments, testing and deployment suits. With time, through the decades, we’ve become able to produce
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We are convinced, through the collective narrative leveraging our scientific understanding, that we think with our brains. While that is true, there is much more: some of us think with our stomach, an sculptor will think with her hands, a ballet dancer with her entire body. Our proprioception extends feedback loops outside of the body,
