General AI, the "holy grail" of AI, demonstrated for the first time – Fanatical Futurist by International Keynote Speaker Matthew Griffin

Recently we saw a new "Master algorithm" that could be used to create the first generation of super intelligent machines, and now a team of researchers from Maryland, USA, announced this week that they've invented a general Artificial Intelligence (AI) way for machines to identify and process 3D images that doesn't require humans to go through the tedium of inputting specific information that accounts for each and every instance, scenario, difference, change and category that could crop up, and they claim it's a world first, even though it follows on from a not too dissimilar breakthrough from Google DeepMind whose own platform, Alpha Zero, recently taught itself a mix of board games including chess to a grand master level, in just four hours. All that said though it's important to say here that while doing away with huge volumes of training data used to train today's AI's is a staggering breakthrough of potential epic proportions this announcement doesn't yet herald the emergence of fabled Artificial General Intelligence (AGI) which is still a little way off and which Google Deepmind published an architecture for last year. However, this new development, albeit a distant cousin of AGI for now, will no doubt have an influence on the speed at which the first AGI's now emerge. This is actually a huge deal for the technology sector, and it's a massive step for the case of general AI versus specific AI, and once fine tuned, this development will have the power to shape and change how everyone, from police and intelligence officials, to retail marketers and medical professionals, go about their daily business. Currently, neural networks, defined as those computing systems that are aimed at mimicking how humans think and make decisions, are only as good as the information that's inputted.