Lifeboat Foundation

By David Hambling

A robot pilot is learning to fly. It has passed its pilot’s test and flown its first plane, but it has also had its first mishap too.

Unlike a traditional autopilot, the ROBOpilot Unmanned Aircraft Conversion System literally takes the controls, pressing on foot pedals and handling the yoke using robotic arms. It reads the dials and meters with a computer vision system.

The video uploaded by Logan LeGrand today shows a modified 2019 Toyota Corolla hatchback easily maintaining its 40 mph speed throughout a heavy downpour.

CEO Elon Musk said the electric pickup truck will rival both the Porsche 911 sports car and the standard bearer Ford F-150 pickup.

Magnetically controlled device could deliver clot-reducing therapies in response to stroke or other brain blockages.

Anousheh Ansari, the chief executive of the XPrize Foundation, says that storing data and growing human organs would be easier off Earth—but moon vacations are a ways off.

Black holes are some of the most powerful and fascinating phenomena in our Universe, but due to their tendency to swallow up anything nearby, getting up close to them for some detailed analysis isn’t possible right now.

Instead, scientists have put forward a proposal for how we might be able to model these massive, complex objects in the lab — using holograms.

While experiments haven’t yet been carried out, the researchers have put forward a theoretical framework for a black hole hologram that would allow us to test some of the more mysterious and elusive properties of black holes — specifically what happens to the laws of physics beyond its event horizon.

New ability gives biologists tool to rework bacterial genomes in many ways.

This week a collaborative effort among computer scientists and academics to safeguard data is winning attention and it has quantum computing written all over it.

The Netherlands’ Centrum Wiskunde & Informatica (CWI), national research institute for mathematics and computer science, had the story: IBM Research developed “quantum-safe algorithms” for securing data. They have done so by working with international partners including CWI and Radboud University in the Netherlands.

IBM and partners share concerns that data protected by current encryption methods may become insecure within the next 10 to 30 years.

A team of researchers at Yonsei University and École Polytechnique Fédérale de Lausanne (EPFL) has recently developed a new technique that can recognize emotions by analyzing people’s faces in images along with contextual features. They presented and outlined their deep learning-based architecture, called CAER-Net, in a paper pre-published on arXiv.

For several years, researchers worldwide have been trying to develop tools for automatically detecting human emotions by analyzing images, videos or audio clips. These tools could have numerous applications, for instance, improving robot-human interactions or helping doctors to identify signs of mental or neural disorders (e.g.„ based on atypical speech patterns, facial features, etc.).

So far, the majority of techniques for recognizing emotions in images have been based on the analysis of people’s facial expressions, essentially assuming that these expressions best convey humans’ emotional responses. As a result, most datasets for training and evaluating emotion recognition tools (e.g., the AFEW and FER2013 datasets) only contain cropped images of human faces.