Wirelessly powered, biomimetic spybots…

A new contest seeks flight systems inspired by Mother Nature and powered by directed-energy beams.

Tired: multi-rotor copters and fixed-wing drones. Wired: flying robots that move like living animals, are crafted of next-generation materials, and draw their power not from batteries but energy beamed from nearby aircraft.

On Wednesday, the Defense Enterprise Science Initiative, or DESI, announced a competition for basic science grants to build “new paradigms for autonomous flight, with a focus on highly-maneuverable platforms and algorithms for flight control and decision making.” An accompanying Broad Agency Announcement gets more specific: basically, they’re looking for bat-like drones that can be powered with directed-energy beams.

The military wants to “network everything to everything,” which sounds a bit like the setup for the Terminator franchise.

Service chiefs are converging on a single strategy for military dominance: connect everything to everything.

Leaders of the Air Force, Navy, Army and Marines are converging on a vision of the future military: connecting every asset on the global battlefield.

That means everything from F-35 jets overhead to the destroyers on the sea to the armor of the tanks crawling over the land to the multiplying devices in every troops’ pockets. Every weapon, vehicle, and device connected, sharing data, constantly aware of the presence and state of every other node in a truly global network. The effect: an unimaginably large cephapoloidal nervous system armed with the world’s most sophisticated weaponry.

Trying to outrun the expiration of Moore’s Law.

As conventional microchip design reaches its limits, DARPA is pouring money into the specialty chips that might power tomorrow’s autonomous machines.

The coming AI revolution faces a big hurdle: today’s microchips.

It’s one thing to get a bunch of transistors on an integrated circuit to crunch numbers, even very large ones. But what the brain does is far more difficult. Processing vast amounts of visual data for use by huge, multi-cellular organism is very different from the narrow calculations of conventional math. The algorithms that will drive tomorrow’s autonomous cars, planes, and programs will be incredibly data-intensive, with needs well beyond what conventional chips were ever designed for. This is one reason for the hype surrounding quantum computing and neurosynaptic chips.