Much has been written and discussed about the merging of the physical, digital and biological worlds with machines. Artificial intelligence has become a catch-all description for replicating something inherently human and embedding it in man-made systems that can perhaps function better, if not at least more efficiently, than our bodies and brains.
Unquestionably, progress has been made.
And, for better or worse, there is an unstoppable march toward the quest for mimicking human characteristics and capabilities in the ones and zeroes, the silicon and substrates that form the vital systems of modern machines. But, like the four-minute mile or conquering Mount Everest, there are certain inflection points – indeed, limitations bound by the laws of physics – that require a rethinking of computational paradigms.
We have reached such a point in taking the next steps toward making machines that do not just see, but truly sense the environments in which they exist and interact.
New types of machine vision hold the potential to revolutionize how we more safely and efficiently move about, work, communicate, and even, in an ironic paradox, in how bodies themselves can overcome natural limitations or deficiencies in our own ability to see.
From our perspective, we believe biologically-inspired vision technology could result in:
Seamless transportation with 100% accident-free autonomous vehicles
High-speed drones and delivery vehicles operating without risk of collision
Elimination of danger or risk through smart-device advanced warning systems
Symbiotic collaboration between humans and robots
The end of blindness and vision loss
read the full article here = https://www.forbes.com/sites/worldeconomicforum/2017/06/24/how-a-new-generation-of-machines-will-see-like-humans/3/#69a30fea3955