Lifeboat Foundation

Researchers at the California Institute of Technology (Caltech) have built a bipedal robot that combines walking with flying to create a new type of locomotion, making it exceptionally nimble and capable of complex movements.

Part walking robot, part flying drone, the newly developed LEONARDO (short for LEgs ONboARD drOne, or LEO for short) can walk a slackline, hop, and even ride a skateboard. Developed by a team at Caltech’s Center for Autonomous Systems and Technologies (CAST), LEO is the first robot that uses multi-joint legs and propeller-based thrusters to achieve a fine degree of control over its balance.

“We drew inspiration from nature. Think about the way birds are able to flap and hop to navigate telephone lines,” explained Soon-Jo Chung, Professor of Aerospace and Control and Dynamical Systems. “A complex yet intriguing behaviour happens as birds move between walking and flying. We wanted to understand and learn from that.”

Sophia’s Artificial Intelligence technology gives you the ability to increase your knowledge and language through sensors and cameras. This ‘sensitivity’ system captures all the information it receives from the outside and replicates human behaviors in the most natural way possible, even gestures. Therefore, her ‘desire’ to have a baby and start a family would only be a programming of her system to imitate social behaviors.

This is not the first time that Sophia has starred in a controversy. In 2,017 when she was named a citizen of Saudi Arabia 0 many people protested that, even though she is a robot, she has more rights than human women in that country.

Continue reading “Sophia, the first android with citizenship, now wants to have a robot baby” »

It’s piloting the new delivery model in Logan, Queensland.

Alphabet subsidiary Wing has launched a pilot program that will have its drones fly products from the rooftops of shopping centers. In fact, it has already started the program in its biggest market, Logan, Australia. The subsidiary has teamed up with Australian retail property group, Vicinity Centres, to test the new model at Logan’s Grand Plaza, where Wing’s drones have been flying orders to customers from businesses directly below their launching pad.

Wing has been operating in Logan over the past two years, but up until now, businesses have had to co-locate their products at the company’s delivery facility. This is the first time the subsidiary is conducting deliveries from participating merchants’ existing location instead. Wing has been flying its drones from the rooftop of Grand Plaza since mid-August, delivering sushi, bubble tea, smoothies and other products from merchants in the shopping center. Starting today, the drones will also deliver over-the-counter medicine and personal care and beauty products.

Continue reading “Alphabet’s Wing tests drone deliveries from shopping center rooftops in Australia” »

Effort to scan the entire Human Brain continues.

Summary: A new, non-invasive neuroimaging technique allowed researchers to investigate the visual sensory thalamus, a brain area associated with visual difficulties in dyslexia and other disorders.

Source: TU Dresden

Continue reading “Charting Hidden Territory of the Human Brain” »

New potential drug combo for kids with brain cancer found using BenevolentAI.

This week, The European Parliament, the body responsible for adopting European Union (EU) legislation, passed a non-binding resolution calling for a ban on law enforcement use of facial recognition technology in public places. The resolution, which also proposes a moratorium on the deployment of predictive policing software, would restrict the use of remote biometric identification unless it’s to fight “serious” crime, such as kidnapping and terrorism.

The approach stands in contrast to that of U.S. agencies, which continue to embrace facial recognition even in light of studies showing the potential for ethnic, racial, and gender bias. A recent report from the U.S. Government Accountability Office found that 10 branches including the Departments of Agriculture, Commerce, Defense, and Homeland Security plan to expand their use of facial recognition between 2020 and 2023 as they implement as many as 17 different facial recognition systems.

Commercial face-analyzing systems have been critiqued by scholars and activists alike throughout the past decade, if not longer. The technology and techniques — everything from sepia-tinged film to low-contrast digital cameras — often favor lighter skin, encoding racial bias in algorithms. Indeed, independent benchmarks of vendors’ systems by the Gender Shades project and others have revealed that facial recognition technologies are susceptible to a range of prejudices exacerbated by misuse in the field. For example, a report from Georgetown Law’s Center on Privacy and Technology details how police feed facial recognition software flawed data, including composite sketches and pictures of celebrities who share physical features with suspects.

When urban development takes place, a traffic impact assessment is often needed before a project is approved: What will happen to auto traffic if a new apartment building or business complex is constructed, or if a road is widened? On the other hand, new developments affect foot traffic as well — and yet few places study the effects of urban change on pedestrians.

A group of MIT researchers wants to alter that, by developing a model of pedestrian activity that planners and city officials can use in much the same way officials evaluate vehicle traffic. A study they have conducted of Melbourne, Australia, shows that the model works well when tested against some of the most comprehensive pedestrian data available in the world.

“Our model can predict changes in pedestrian volume resulting from changes in the built environment and the spatial distribution of population, jobs, and business establishments,” says Andres Sevtsuk, an associate professor in MIT’s Department of Urban Studies and Planning (DUSP) and lead author of a newly published paper detailing the results. “This provides a framework to understand how new developments can affect pedestrian flows on city streets.”

A virtual army of 4,000 doglike robots was used to train an algorithm capable of enhancing the legwork of real-world robots, according to an initial report from Wired. And new tricks learned in the simulation could soon see execution in a neighborhood near you.

While undergoing training, the robots mastered the up-and downstairs walk without too much struggle. But slopes threw them for a curve. Few could grasp the essentials of sliding down a slope. But, once the final algorithm was moved to a real-world version of ANYmal, the four-legged doglike robot with sensors equipped in its head and a detachable robot arm successfully navigated blocks and stairs, but had issues working at higher speeds.

Continue reading “New Virtual Obstacle Courses Are Teaching Real Robots How to Walk” »

The semiconductor shortage has curtailed the choices available to designers and caused some inventive solutions to be found, but the one used by [djzc] is probably the most inventive we’ve yet seen. The footprint trap, when a board is designed for one footprint but shortages mean the part is only available in another, has caught out many an engineer this year. In this case an FTDI chip had been designed with a PCB footprint for a QFN package when the only chip to be found was a QFP from a breakout board.

For those unfamiliar with semiconductor packaging, a QFN and QFP share a very similar epoxy package, but the QFN has its pins on the underside flush with the epoxy and the QFP has them splayed out sideways. A QFP is relatively straightforward to hand-solder so it’s likely we’ll have seen more of them than QFNs on these pages.

There is no chance for a QFP to be soldered directly to a QFN footprint, so what’s to be done? The solution is an extremely inventive one, a two-PCB sandwich bridging the two. A lower PCB is made of thick material and mirrors the QFN footprint above the level of the surrounding components, while the upper one has the QFN on its lower side and a QFP on its upper. When they are joined together they form an inverted top-hat structure with a QFN footprint below and a QFP footprint on top. Difficult to solder in place, but the result is a QFP footprint to which the chip can be attached. We like it, it’s much more elegant than elite dead-bug soldering!