Lifeboat Foundation

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We’ll also be posting a weekly calendar of upcoming robotics events for the next few months; here’s what we have so far (send us your events!):

Let us know if you have suggestions for next week, and enjoy today’s videos.

Continue reading “Video Friday: Africa’s Lake Kivu Drone Challenge” »

Affetto has been fitted with synthetic skin, which enables it to react to being touched. It is hoped such developments will allow robots to have a deeper interaction with humans.

https://www.youtube.com/watch?v=oFvj379MI0o&t=441s

I recently interviewed Professor David J. Gunkel, an expert in robot ethics at Northern Illinois University about the future of AI and the transhumanist movement. If this is your thing please do subscribe to the channel — lots more coming up smile

I interview Professor David J. Gunkel (@David_Gunkel), an expert in AI and robot ethnics at Northern Illinois University and author of ‘The Machine Question: Critical Perspectives on AI, Robots, and Ethics’. We discuss whether robots should have rights, if human and artificial intelligence are likely to merge and whether the transhumanist movement could become a serious political force. Hope you enjoy!

Sobyanin said last month that the city had begun using facial recognition as part of its city security surveillance programme.

Kremlin spokesman Dmitry Peskov said he had not seen details of the actions being taken in Moscow but that measures to curb the spread of the coronavirus should not be discriminatory.

The clamp down on quarantine rules comes after a woman in St. Petersburg staged an elaborate escape from a hospital where she said she was being kept against her will.

Martin Luther King Jr. Community Hospital in Los Angeles is using biometric facial recognition technology from Alcatraz AI to replace or augment badges for physical security and access control, the company has revealed to Biometric Update.

The Alcatraz AI 3D Rock Facial Authentication Platform was integrated with MLKCH’s access control system to strengthen identity verification procedures for its 70 security department employees. The hospital, which employs more than 2,000 people, considered biometric card reader options, and selected Alcatraz Rock to secure access to its security center.

“The security department was a natural place to start with coverage from the Alcatraz Rock and facial recognition access control,” says MLKCH Director of Support Services Mark Reed in a case study by Alcatraz 3D. “Our security department obviously has a huge role in maintaining a safe and secure hospital environment for patients, staff, and guests and therefore houses important employees and information. Controlling access to this security area is key and we wanted to ensure that only those individuals that are supposed to be coming and going are the ones that are actually coming and going. What better way is there to verify identity than with facial recognition?”

A machine learning algorithm implemented on a quantum annealer—a D-Wave machine with 1,098 superconducting qubits—is used to identify Higgs-boson decays from background standard-model processes.

A digital map of rocks, cavities, and utility pipes underground creates a unique signature. Cars can follow it, at speed, in snow, and be within 2 inches of the road center, says WaveSense.

JAXA, Japan’s national space agency, has just approved a robotic mission to visit the Martian moons Phobos and Deimos and retrieve a small sample from the former to bring back to Earth.

The mission plan: It’s called Martian Moon eXploration, or MMX. JAXA currently plans to launch MMX in 2024 and make it to the Martian system the following year. MMX will spend three years in the system studying and mapping the moons. The mission will make use of 11 different instruments, including a NASA-funded instrument called MEGAE that will measure the elemental composition of both bodies (perhaps revealing signs of ancient water).

The mission will also deploy a small rover to zip around the surface of Phobos, not unlike what JAXA’s Hayabusa2 mission deployed on the surface of the asteroid Ryugu.

Researchers at MIT reported Thursday that they have harnessed artificial intelligence to identify a completely new antibiotic compound that killed all but one of the antibacterial-resistant pathogens they tested it on. Drug-resistant bacteria are a large and growing problem, causing 2.8 million infections and 35,000 deaths in the U.S. each year and more in developing countries, STAT News reports. The computer learning model developed at MIT, described in the journal Cell, has the potential to identify many new types of antibiotics.

The researchers named the compound halicin, after HAL, the initially useful, eventually murderous sentient computer in 2001: A Space Odyssey. They also discovered eight more promising antibacterial compounds, two of which appear very powerful. They tried out halicin on mice and plan to work with a nonprofit or drugmaker to see if it’s effective and safe in humans.

The MIT team’s machine-learning model independently looked for certain properties — in this case, the ability to kill E. coli and not harm humans — among about 2,500 molecules in a drug repurposing database. Halicin was originally considered as a treatment for diabetes.