You keep on hearing about AI is bad and once AGI is around, it will kill us off - paperclip maximization principle is a telling example? Check the below tidbits pushing the envelop. Music Historically, people line up to attend concerts of famous artists. Now, there is AI that generates pure gold jazz or what … Continue reading Creepy or cool? some AI breakthroughs and formula of life
How do you know how well an industry/technology/product/.. does? One way to check is to find out the two contextual (from economic, technological, social, ...other perspectives) extremes of that industry/technology/product/... Let's have a go at Bitcoin/blockchain. If you go to Etherscan, click on top menu item Tokens and then View Tokens, and if you search … Continue reading Two extremes in blockchain-sphere illustrate current state
Deep learning models can already achieve state-of-the-art results in some applications, but their capabilities are still limited. Unlike humans, deep learning models are unable to handle minor changes, and hence can only be applied for specific and narrowly defined tasks. Consider this conversation of what might be the most sophisticated negotiation software on the planet, which occurred … Continue reading How GANs can turn AI into a massive force
As you know, goal of AI learning is generalisation, but one major issue is that data alone will never be enough, no matter how much of it is available. AI systems need both data and they need to learn based on data in order to generalise. So let's look at how AI systems learn. But … Continue reading How AI systems learn: approaches and concepts
Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. New AI startups pop up every day - especially in China - and claim to solve all your personal and business problems with machine learning. Ordinary objects like juicers and wifi routers suddenly advertise themselves … Continue reading Limits of deep learning and way ahead
As outlined in my previous post, blockchain faces number of fundamental - technological, cultural, and business - issues before it becomes mainstream. However, potential of blockchain, especially if it were coupled with AI, cannot be ignored. The potent combination of blockchain and AI can revolutionise healthcare, science, government, autonomous driving, financial services, and a number of … Continue reading Survival of blockchain and Ethereum vs. alternatives
What happens when two major technological trends see an synergy or overlap in usage or co-development? We have blockchain's promise of near-frictionless value exchange and AI’s ability to conduct analysis of massive amounts of data. The joining of the two could mark the beginning of an entirely new paradigm. We can maximize security while remaining … Continue reading Blockchain + AI = ?