Vulnerable elephant populations are now being tracked from space using Earth-observation satellites and a type of artificial intelligence (AI) called machine learning. As part of an international project, researchers are using satellite images processed with computer algorithms, which are trained with more than 1,000 images of elephants to help spot the creatures. With machine learning, the algorithms can count elephants even on'complex geographical landscapes', such as those dotted with trees and shrubs. Researchers say this method is a promising new tool for surveying endangered wildlife and can detect animals with the same accuracy as humans. Elephants in woodland as seen from space.
A swimming robot that mimics the super-effective way that jellyfish move about underwater could soon be used to explore coral reefs and archaeological sites. Experts use a measure called the'cost of transport' to compare the movement efficiency of different species from across the animal kingdom. Such studies have show that nature's more efficient mover -- easily beating out running and flying animals and bony fish -- is the moon jellyfish, Aurelia aurita. These soft-bodied creatures move by squeezing their bodies in order to expel a jet of water that propels them forward. Inspired by this, engineers from Southampton and Edinburgh built a jet-driven robot that is around 10–50 times more efficient that its propeller-driven peers.
People tend to make snap judgments on each other in a single look and now an algorithm claims to have the same ability to determine trustworthiness for obtaining a loan in just two minutes. Tokyo-based DeepScore unveiled its facial and voice recognition app last week at the Consumer Electronics Show that is touted as a'next-generation scoring engine' for loan lenders, insurance companies and other financial institutions. While a customer answers 10 question, the AI analyzes their face and voice to calculate a'True Score' that can be help companies with the decision to deny or approve. DeepScore says its AI can determine lies with 70 percent accuracy and a 30 percent false negative rate, and will alert companies that fees need to be increased if dishonesty is detected. However, scientists raise concerns about bias saying the app is likely to discriminate against people with tics or anxiety, resulting in these individuals not receiving necessary funds or coverage, Motherboard reports.
Combining living tissue with cold metal robots may sound like a plot from the James Cameron film'Terminator,' but the idea is being developed for real-world machines at the Army Research Laboratory (ARL). The US military group is working on a series of'biohybrid robotics' that integrates living organisms into mechanical systems that'produces never-seen-before agility and versatile.' The team envisions growing muscle tissue in a lab that would be added to robotic joints in place of traditional actuators – components responsible for moving and controlling mechanisms. The project aims to give robots the same agility and precision that muscles offer biological systems, allowing these futuristic machines to venture into spaces too risky for human soldiers. The US military group is working on a series of'biohybrid robotics' that integrates living organisms into mechanical systems that'produces never-seen-before agility and versatile.'
Eyesight tests could be used to identify which people with Parkinson's disease are likely to suffer from cognitive impairment and possible dementia 18 months later. UK researchers have found that people with Parkinson's who perform less well in eye tests show worse cognitive performance a year and a half later. The study is one of two by University College London (UCL) published this month looking at people with Parkinson's – the progressive nervous system disorder that causes shakiness and stiffness. The second study found structural and functional connections of brain regions become'decoupled' throughout the entire brain in people with Parkinson's disease, particularly among people with vision problems. The findings support previous evidence that vision changes precede the cognitive decline that occurs in many, but not all, people with Parkinson's.
While face masks were once rare sightings, they're now compulsory in a range of settings across the UK. The face coverings play a key role in stopping the spread of Covid-19, yet many iPhone users have been frustrated that their masks have prevented them from unlocking their iPhones using Apple's facial recognition technology, Face ID. Now, a report indicates that Apple could be bringing back its Touch ID technology in its 2021 iPhone, in the form of an in-screen fingerprint reader, to help users unlock their smartphones without having to remove their masks. Rather than being a replacement for Face ID, Touch ID would be an additional method of unlocking the iPhone, according to the report. Many iPhone users have been frustrated that their masks have prevented them from unlocking their iPhone using Apple's facial recognition technology, Face ID (stock image) The report, by Bloomberg, indicates that changes to this year's iPhone will be minor.
Tesla has given the first look at its new tabless battery cell, dubbed 4680, and Roadrunner production line that, according to CEO Elon Musk, 'will make full-size cars in the same way to cars are made.' The tabless battery was first unveiled in September during the firm's Battery Day, but was only shown by Musk via a PowerPoint presentation. Now, the time has come for Musk to show the world what Tesla has been working on at its pilot battery factory in Fremont, Texas. The one-minute clip shows the white and blue battery moving through different assembly stages with the help of armed and wheeled robots. Tesla also used this opportunity to announce it is taking applications for manufacturing jobs at its planned battery facilities in Berlin and Texas.
Images showing the internal structure of the Christ the Redeemer statue in Rio de Janeiro, Brazil, have been revealed for the first time thanks to a 3D scan. Geospatial mapping specialist GeoSLAM produced the never-before-seen digital images of the inside of the famous statue ahead of its 90th birthday on October 12. Emblematic of the city of Rio de Janeiro and the nation of Brazil, the concrete clad statue stands 98 feet tall and spans a mammoth 92 feet wide. The digital re-creation of the iconic statue involved more than 180 million points of data - taken from a drone-mounted laser scanner and someone walking up and down the staircases inside the statue using the same scanner. The new digital images will allow people to virtually explore this world-famous monument in ways never before been possible - inside and out. In 2019, the statue was visited over two million times, with people from all over the globe travelling to admire the monument, which soars 2,320 feet above the city.
The Stanford research who made headlines in 2017 for designing an AI that uses'facial landmarks' to determine a person's sexual preference is back with what may be another controversial system. Dr. Michal Kosinski claims to have a facial recognition algorithm capable of identifying if a person is a liberal or conservative based on a single photo – and with over 70 percent accuracy. The technology, which builds on the 2017 AI, was trained with more than a million images from dating websites and Facebook and programmed to focus in on expressions and posture. Although Kosinski and his team were unable to pin down exact characteristics the algorithm associated with a political preference, but they did find some trends like head orientation and emotional expression in pictures. Some examples include people who looked directly at the camera were labeled as liberal and those showing disgust were judged as more conservative.
A school of robotic fish that are able to coordinate their movements underwater - just like real fish - have been created by a team of engineers. Harvard University experts created the fish-inspired bots to work without any external control, mimicking the collective behaviours groups of fish demonstrate. Schools of fish exhibit complex, synchronised behaviours that help them find food, migrate and evade predators with no one fish coordinating the movements. The robotic fish can synchronise their movements like a real school of fish, without any external control - the first time this complex behaviour has been show in robots. The team say in future a similar swarm of robotic fish could be deployed to perform environmental monitoring and search in fragile environments like coral reefs.