From automated to autonomous and now cognitive, a paradigm shift is taking place in the design principles of machines, matter, methods and more. So, what are the principles of cognitive design? And are they centered around the future of humanity? From tabulating systems to programmable systems and now with cognitive systems, the evolution in computing allows humans to move beyond numbers and data to knowledge and intelligence. It is no longer about the replacement of man with machine, but rather about intelligence augmentation.

Mail resume to Airspace Systems, Inc., Attn: Guy Bar-Nahum, 1933 Davis St., #229, San Leandro, CA 94577.

San Leandro-based Airspace Systems is making a business out of solving the toughest problems facing the emerging drone industry. The company designed a drone of its own, jam-packed with sensors and machine intelligence, to autonomously intercept threatening drones at high speeds and carry them away from large crowds. If you think this sounds difficult, you would be right. The company employs myriad technologies for its unmanned flying dogfighters that include computer vision, physics and some pretty serious engineering grit. To not only detect enemy drones, but predict where they will be in the future, CTO Guy Bar-Nahum, and a team of machine learning and computer vision experts, devised a creative method of training their machine learning frameworks using simulated test-flights.

San Leandro based Airspace Systems is making a business out of solving the toughest problems facing the emerging drone industry. The company designed a drone of its own, jam packed with sensors and machine intelligence, to autonomously intercept threatening drones at high speeds and carry them away from large crowds. If you think this sounds difficult, you would be right. The company employs a myriad of technologies for its unmanned flying dogfighters that include computer vision, physics, and some pretty serious engineering grit. To not only detect enemy drones, but predict where they will be in the future, CTO Guy Bar-Nahum, and a team of machine learning and computer vision experts, devised a creative method of training their machine learning frameworks using simulated test-flights.