How far are we from achieving true AGI?

AGI solutions are being continuously investigated, though the current most promising mainstream technology, neural networks, while contributing to some extraordinary results, are still running short of achieving them. This criticism is not new, and, most recently Gary Marcus, in “Deep Learning: A Critical Appraisal”, arXiv:1801.00631v1, has outlined many issues with current deep learning architectures, in particular…

Continuous intelligence for business decisions

The recent AI revolution is based on a few important pillars: faster computing speed, distributed computing, abundance of data and lower storage costs. To date, however, there still are some critical steps that are missing to achieve true continuous intelligence. Continuous intelligence refers to a design in which real-time analytics is seamlessly integrated within a…

Can machines be conscious if they are not alive?

For centuries philosophers and later psychologists have debated what consciousness is, without reaching a consensus. With the progress made in neural networks, deep learning and artificial intelligence, the debate is now reaching technologists and artificial intelligence experts. Consciousness has been debated for centuries, though there is no unique definition. While we humans make a claim to…

The Big Bang vs. The Kluge: perturbing our learnome

Connectome (http://www.humanconnectomeproject.org) is a term often used to indicate the set of connections between the neurons in our brain, a sort of highway mapping of the brain. The quest for a connectome is still eluding the scientific community, but more importantly, perhaps, it is the search for a ‘learnome’ or an ‘algorithm-ome’ i.e. the set of…