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Study explains why the brain can robustly recognize images, even without color

New research offers a possible explanation for how the brain learns to identify both color and black-and-white images. The researchers found evidence that early in life, when the retina is unable to process color information, the brain learns to distinguish objects based on luminance, rather than color.

CU Boulder researchers are building an 'Eye Of Sauron', whose gaze pierces harmful gasses

Research: Brain Can Recognize Images Without Color Robustly

Government Aims to Build a 'Data Eye in the Sky' - Innovation Toronto

The defense agency argues that its analysis can expose terrorist cells and other stateless groups by tracking their meetings, rehearsals and sharing of material and money transfers.

Hybrid Memory Device for Superconducting Computing

Spies to use Twitter as crystal ball - Innovation Toronto

Taking Complexity and Uncertainty Seriously: Increasing Evidence Use in the Conflict Stabilization Sector

MEL practitioners—and knowledge producers more generally—should adopt an approach that is attuned to a realistic model of the stages of the policy process and be ready to seize windows of opportunity to apply evidence. This may require navigating competing demands, recognizing tradeoffs, and making hard choices. They should also embrace methods more appropriate for situations of deep uncertainty and complexity.

ARPA-H leaders to participate in Johns Hopkins Health Policy Forum discussion

Renee Wegrzyn, director of the Advanced Research Projects Agency for Health, and Kimberley Steele, ARPA-H program manager, join Medicine Dean Theodore DeWeese for a conversation on April 30

ARPA-H Chiefs Join Johns Hopkins Health Policy Forum Talk

Computer vision researcher develops privacy software for surveillance videos