Toyota has revealed its third generation humanoid robot, the T-HR3, which can be controlled and synchronised with the operator’s movements. The user wears data gloves and an HTC Vive VR headset that’s linked to cameras to show the robot’s perspective. T-HR3 stands 1.54 meters tall and weighs 75kg ( 5 feet, 1 inches / 165 pounds) and was developed to explore the possibility of assisting humans in the home, medical facilities, construction sites, disaster areas, and even in space, Toyota says.
The operator can control the robot’s entire body using what’s called the Master Maneuvering System (MMS) — 16 torque servo modules in the chair, motion and force sensors at the feet, and 29 more torque servo modules located in the robot’s joints.
Hundreds of chat bots now aim to spread social good. Here are five from TechRepublic that offer users help with mental health, legal advice, getting a raise, adopting an animal, and sharing their voice.
Detecting art forgeries is hard and expensive. Art historians might bring a suspect work into a lab for infrared spectroscopy, radiometric dating, gas chromatography, or a combination of such tests. AI, it turns out, doesn’t need all that: it can spot a fake just by looking at the strokes used to compose a piece.
In a new paper, researchers from Rutgers University and the Atelier for Restoration & Research of Paintings in the Netherlands document how their system broke down almost 300 line drawings by Picasso, Matisse, Modigliani, and other famous artists into 80,000 individual strokes. Then a deep recurrent neural network (RNN) learned what features in the strokes were important to identify the artist.
Check out this great piece from the BMJ (British Medical Journal) Opinion. The authors discuss the great promise of the GP at Hand programme (in partnership between the NHS and Babylon) and the pitfalls and problems involved, such as the exclusion of certain types of patients.
Democratising healthcare is a noble goal. Destabilising an equitable care system is not. The long-heralded arrival of digital health, like the biomedical revolution before it, has the potential to increase the quality and quantity of patients’ lives. We should continue to strive for a system which balances the promotion of innovation with the protection of both individuals and the population from harm.
An experiment by University College London (UCL) found that applying computer intelligence to data from people who had suffered a stroke allowed researchers to see what effect drugs had on brains with varying patterns of damage. For the study, a machine learning algorithm was applied to CT and MRI scans of 1172 stroke patients and mapped the anatomical pattern of damage throughout the brain of each individual. The researchers then simulated the effects of certain hypothetical drugs, to see if any reactions that would have been missed by conventional methods could be identified.
Dr Parashkev Nachev, UCL Institute of Neurology and the study’s lead author, said: “Conventional statistical models will miss an effect even if the drug typically reduces the size of the lesion by half, or more, simply because the complexity of the brain’s functional anatomy – when left unaccounted for – introduces so much individual variability in measured clinical outcomes.”
“If we’re going to protect our way of life, we need to better understand our home water: How we use it, where we need it, and where it is needlessly wasted. That’s why we created Buoy: To give homeowners the tools they need to protect their water and their quality of life,” said Keri Waters, CEO and co-founder of Buoy
In cases of emergency, the Buoy gives users the option of shutting down all household water with just one tap. Otherwise, homeowners can constantly monitor their water usage habits, getting periodic reports, and seeing where problem areas may lie.
China-based search engine Baidu plans to cooperate with the government of Xiongan New Area, northern China, to create a city featuring smart transportation in line with its ambition to develop self-driving vehicles, company chairman and CEO Robin Li revealed at a recent company event in Beijing.
Close to the south of Beijing, Xiongan was designated in April 2017 by the China government as the 19th new area of national level. Such new areas are mostly rural regions to be developed into new cities. Xiongan is
positioned to absorb urban development in excess of normal load in Beijing.Baidu hopes that the new city in Xiongan New Area will be clean, green, and free of traffic congestion.
Chinese autonomous truck driving technology firm TuSimple, backed by American semiconductor company Nvidia, has raised US$55 million in a series C round led by Fuhe Capital and participated in by existing investors Sina Corp. and Zhiping Capital.
Founded in 2015, TuSimple is working to integrate computer vision, algorithms, mapping, and artificial intelligence to create a commercially viable autonomous truck driving platform with level-four automation, meaning the trucks are fully autonomous and can perform all safety-critical driving functions and monitor roadway conditions for an entire trip. The funding will be used for further research and development and road testing, TuSimple’s CEO Mo Chen told local media.