After a semi-painless injection between the thumb and index finger, a microchip is implanted in another employee. A cyborg is now created, and this human/machine mashup runs off to buy a smoothie using his or her new sub-dermal implant.
If that sounds futuristic, it’s because we’re conditioned to this as a sort of science fiction trope: human gets implanted, its overlords are now in control. For a Swedish company, however, the practice of implanting microchips into its employees has become routine, popular even.
A YouTube collection of grainy video clips highlights the progress Gravity founder Richard Browning has made toward his outlandish dream over the past year. Each seems more terrifying than the last, with multiple jet engines attached to his limbs in various configurations, as he hovers a few feet from the ground.
The press material attached to the announcement heralds the oil trader turned entrepreneur as a real life Iron Man, but it’s hard to shake the feeling that you’re watching some sort of backyard mad scientist, a few moments away from the world’s most dangerous Jack Ass stunt. Browning acknowledges how downright alarming the footage of the Daedelus rig appears, but shakes off any notion that he’s actually in danger at any point during the three-and-a-half minute package.
When “little green men” invaded Crimea in early 2014, they left a data trail that went largely unnoticed by the U.S. Intelligence Community (IC). Distracted by a large Russian exercise to the west, the IC did not connect the digital dots that indicated the impending invasion. In the Information Age, the “dots” are more plentiful and glaring as everyone now leaves a data trail. Given that, how can intelligence analysts better gather, share, organize, and view data to reveal intent, more accurately predict behavior, and make better decisions with limited resources?
In 2012, Futurist Thomas Frey predicted that 2 billion jobs would disappear by 2030, roughly half of all jobs that exist today. Oxford University researchers reinforced this with their estimates that 47 percent of U.S. jobs could be automated within the next two decades. But which ones will robots take first?
First, we should define “robots” as technologies, such as machine learning algorithms running on purpose-built computer platforms, that have been trained to perform tasks that currently require humans to perform.
Swedish scientists are taking the futuristic idea of plant cyborgs and making the leap from science fiction to real-world science. They have been working on ways to regulate plant growth, using electronic wires grown inside the plants own nutrient channels to host sensors and drug-delivery systems. The aim is to provide just the right amount of plant hormones at just the right time. Such efforts could provide even more precise human control over plant production and agriculture.
One of the most impressive complex cognitive processes is the ability to learn and creatively use language. It’s those processes that continue to set humans apart from even the most advanced machines. However, a team of scientists has now created an artificial system of neurons that is capable of learning words, phrases and syntax with no prior programming, thereby sustaining a dialog using processes that resemble mental actions.
A team of scientists from Imperial College London have proposed a laser model that can could heat materials to temperatures hotter than the center of the Sun in just 20 quadrillionths of a second. That’s 10 million degrees Celsius almost instantaneously.
Blade is the world’s first 3D printed supercar. The beautiful car in the photo above has a chassis that’s made up entirely of 3D printed aluminum nodes and carbon fiber connectors. Kevin Czinger, is the man who built this. (Video)