A new study from Accenture says just 12% of firms have figured out how to deploy AI to "achieve superior growth and business transformation." In other words, there's quite a bit of work yet to be done when it comes to AI success. The correlation between AI use and business achievement is still positive. As far back as 2019, Accenture noted that top AI achievers see 50% better revenue growth than their peers who are not AI experts. No one is calling for an AI rethink, yet progress seems to be coming painfully slowly in the real-world branch of the AI discussion.

Similarly, retail companies will evolve in their AI Maturity from 38 today to 54 in 2024. Notably, many retail companies show a deeper commitment to AI transformation than other industries. Walgreens Boots, as part of its efforts to create a more data-driven organization that can offer customers highly personalized digital service, migrated from legacy databases to advanced cloud databases and analytics. The company also built more than 100 high-value AI products that create detailed customer profiles and help it better optimize inventory and prices.

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A naturally grown brain works quite differently than an ordinary computer program. It does not use code consisting of clear logical instructions, it is a network of cells that communicate with each other. Simulating such networks on a computer can help to solve problems which are difficult to break down into logical operations. At TU Wien (Vienna), in collaboration with researchers at Massachusetts Institute of Technology (MIT), a new approach for programming such neural networks has now been developed, which models the time evolution of the nerve signals in a completely different way. It was inspired by a particularly simple and well-researched creature, the roundworm C. elegans.

Max Tegmark's Life 3.0: Being Human in the Age of Artificial Intelligence stretches one's mind and imagination on how life could be, not just a few decades from now, but billions of years ahead. By Life 1.0, the scientist refers to our biological evolution based on DNA. Life 2.0 is about our current'cultural development' stage where we can remodel much of our'software,' e.g. The main focus of the book is of course "Life 3.0" where artificial general intelligence may someday, in addition to being able to learn, be able to redesign its own hardware and software. I strongly recommend the book if you have not read it already.

IMAGE: This is the neural net with different layers of interconnected neurons. A naturally grown brain works quite differently than an ordinary computer program. It does not use code consisting of clear logical instructions, it is a network of cells that communicate with each other. Simulating such networks on a computer can help to solve problems which are difficult to break down into logical operations. At TU Wien (Vienna), in collaboration with researchers at Massachusetts Institute of Technology (MIT), a new approach for programming such neural networks has now been developed, which models the time evolution of the nerve signals in a completely different way.

Computer scientists at TU Wien (Vienna) are improving artificial intelligence by drawing inspiration from biology. The new approaches achieve amazing results with surprisingly little effort. A naturally grown brain works quite differently than an ordinary computer program. It does not use code consisting of clear logical instructions, it is a network of cells that communicate with each other. Simulating such networks on a computer can help to solve problems which are difficult to break down into logical operations.