Lifeboat Foundation

LONDON: A humanoid robot took the stage at the Future Investment Initiative yesterday and had an amusing exchange with the host to the delight of hundreds of delegates.

Smartphones were held aloft as Sophia, a robot designed by Hong Kong company Hanson Robotics, gave a presentation that demonstrated her capacity for human expression.

Continue reading “Saudi Arabia becomes first country to grant citizenship to a robot” »

Pope Francis made a phone call to the International Space Station today (Oct. 26) to ask its six occupants deep questions about humanity’s place in the universe.

Calling from the Vatican in Rome, Pope Francis spoke with Italian astronaut Paolo Nespoli of the European Space Agency along with three NASA astronauts and two Russian cosmonauts.

“Your little glass palace in totality is greater than the sum of its parts, and this is the example that you give us,” Pope Francis said through a translator. [Space Station Photos: The Expedition 53 Crew in Orbit].

Continue reading “Hello to the Heavens: Pope Francis Phones the Space Station” »

Neat!

Continue reading “A sneak peak at radical future user interfaces for phones, computers, and VR” »

Robots, smartphones, computational cameras, and a true pop culture phenomenon round out the list.

Driverless cars need superhuman senses. And for the most part they seem to have them, in the form of lidar, radar, ultrasound, near-infrared, and other sensors. But regular cameras, often forgotten about in favor of more exotic technologies, are incredibly important given they’re used to collect data that’s used to, say, read the messages on road signs. So Sony’s new image sensor is designed to give regular camera vision a boost, too.

The new $90 IMX324 has an effective resolution of only 7.42 megapixels, which sounds small compared to your smartphone camera. But with about three times the vertical resolution of most car camera sensors, it packs a punch. It can see road signs from 160 meters away, has low-light sensitivity that allows it to see pedestrians in dark situations, and offers a trick that captures dark sections at high sensitivity but bright sections at high resolution in order to max out image recognition. The image above shows how much sharper the new tech than its predecessor from the same distance.

Don’t expect a beefed-up camera to eliminate the need for other sensors, though: even with strong low-light performance, cameras don’t work well in the dark, and they can’t offer the precise ranging abilities of other sensors. That means lidar and radar will remain crucial complements to humble optical cameras, however fancy they get.

Continue reading “Sony’s New Autonomous Car Camera Sees Road Signs at 160 Meters” »

White-collar automation has become a common buzzword in debates about the growing power of computers, as software shows potential to take over some work of accountants and lawyers. Artificial-intelligence researchers at Google are trying to automate the tasks of highly paid workers more likely to wear a hoodie than a coat and tie—themselves.

In a project called AutoML, Google’s researchers have taught machine-learning software to build machine-learning software. In some instances, what it comes up with is more powerful and efficient than the best systems the researchers themselves can design. Google says the system recently scored a record 82 percent at categorizing images by their content. On the harder task of marking the location of multiple objects in an image, an important task for augmented reality and autonomous robots, the auto-generated system scored 43 percent. The best human-built system scored 39 percent.

Such results are significant because the expertise needed to build cutting-edge AI systems is in scarce—even at Google. “Today these are handcrafted by machine learning scientists and literally only a few thousands of scientists around the world can do this,” said Google CEO Sundar Pichai last week, briefly namechecking AutoML at a launch event for new smartphones and other gadgets. “We want to enable hundreds of thousands of developers to be able to do it.”

Continue reading “Google’s AutoML Project Teaches AI To Write Learning Software” »

The Google, Apple and Facebook workers who helped make technology so addictive are disconnecting themselves from the internet. Paul Lewis reports on the Silicon Valley refuseniks who worry the race for human attention has created a world of perpetual distraction that could ultimately end in disaster.

Most of us aren’t going to shell out for an iPhone X, but we can still log in with our faces.

Have you ever had the perfect photo ruined by someone with their eyes closed in the shot? You could fix the problem with a bit of cloning from an alternate shot using a photo editing app—but Adobe is making the process much easier in the new 2018 version of Photoshop Elements with a dedicated ‘Open Closed Eyes’ feature.

You can spend an entire career using Photoshop and still not master the software’s every last feature, but that complexity can be intimidating to the millions of amateur photographers born from the advent of affordable digital-SLRs, and even smartphones. That’s where Photoshop Elements comes in. It’s a lighter version of Photoshop with training wheels that simplifies many popular photo editing techniques. A better way to describe it might be as a version of Photoshop your parents could stumble their way through with minimal phone calls to you.