Facial recognition improving 'at breakneck speeds'
For all the news coverage of facial recognition technology, it's currently just not that good. “Traditionally, face recognition software has worked very well on what I would call highly controlled photos,” said Chris Boehnen, a program manager with the Intelligence Advanced Research Projects Activity. Those would include pictures where the subject is looking at the camera and where there is good lighting, like a drivers license, visa or mugshot picture.
Wanted: power-efficient cables to move fast data
U.S. government researchers are asking for industry's help in developing power-efficient cables to transmit fast data from cryogenic-temperature environments to room temperature without overburdening the system's demand for electrical energy. Officials of the Intelligence Advanced Research Projects Agency (IARPA) in Washington issued a draft broad agency announcement on Tuesday (IARPA-BAA-18-02) for the SuperCables project.
Quantum Communication and the Measure of a Paradox
Quantum computing and other technologies, which seek to exploit the bizarre behaviors of particles at the microscopic quantum level, have the potential to revolutionize computing, sensor systems, and a wide array of other information systems. As this theoretical field nears practical implementation...
IARPA Launches "Odin" Program to Harden Biometric Technology Against Attacks
WASHINGTON – The Intelligence Advanced Research Projects Activity, within the Office of the Director of National Intelligence, announces today a multi-year research effort to develop and evaluate biometric presentation attack detection technologies to ensure the integrity of biometric security systems.
Inside the Moonshot Effort to Finally Figure Out the Brain
Here’s the problem with artificial intelligence today," says David Cox. Yes, it has gotten astonishingly good, from near-perfect facial recognition to driverless cars and world-champion Go-playing machines. And it’s true that some AI applications don’t even have to be programmed anymore: they’re based on architectures that allow them to learn from experience. ... To overcome such limitations, Cox and dozens of other neuroscientists and machine-learning experts joined forces last year for the Machine Intelligence from Cortical Networks (MICrONS) initiative: a $100 million effort to reverse-engineer the brain. It will be the neuroscience equivalent of a moonshot, says Jacob Vogelstein, who conceived and launched MICrONS when he was a program officer for the Intelligence Advanced Research Projects Agency, the U.S. intelligence community’s research arm.