First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors present a hierarchical extension of the IRM for network modelling using the key ideas from the Bayesian rose tree paper: 1) that the hierarchy is used to specify a mixture over consistent partitions of the nodes 2) that this hierarchy can be learnt using an efficient greedy agglomerative procedure. Qualitative results on the Sampson's monks dataset, and full NIPS dataset, and quantitative results on the NIPS-234 dataset are presented. The proposed inference is computational much cheaper than the IRM, whilst obtaining similar predictive performance. The paper is very well written and the exposition of the key ideas is clear.

In medieval Europe, barber-surgeons might cut your hair, shave your face, do a bit of blood-letting and tend to a broken limb. They might also pull a tooth out with a "pelican" – a crude beak-like shank – or lever it out with an iron "tooth key". By the 17th century they might just knock it out with a steel punch elevator. It's a winding, gruesome road from these early practitioners of dentistry to today's world of 3D printing, artificial intelligence and robots that can create dental implants. Wayne Sampson, a dental historian and emeritus professor at the University of Adelaide, says the history of dental work goes back much further than the barber-surgeons.

The recently-departed watchdog in charge of monitoring facial recognition technology has joined the private firm he controversially approved, paving the way for the mass roll-out of biometric surveillance cameras in high streets across the country. In a move critics have dubbed an "outrageous conflict of interest", Professor Fraser Sampson, former biometrics and surveillance camera commissioner, has joined Facewatch as a non-executive director. Sampson left his watchdog role on 31 October, with Companies House records showing he was registered as a company director at Facewatch the following day, 1 November. Campaigners claim this might mean he was negotiating his Facewatch contract while in post, and have urged the advisory committee on business appointments to investigate if it may have "compromised his work in public office". It is understood that the committee is currently considering the issue.

Ministers are calling for facial recognition technology to be "embedded" in everyday policing, including potentially linking it to the body-worn cameras officers use as they patrol streets. Until now, police use of live facial recognition in England and Wales has been limited to special operations such as football matches or the coronation. Prof Fraser Sampson, the biometrics and surveillance camera commissioner, said the potential expansion was "very significant" and that "the Orwellian concerns of people, the ability of the state to watch every move, is very real". The government's intentions were revealed in a document produced for the surveillance camera commissioner, discussing changes to the oversight of technology and surveillance. It said: "This issue is made more pressing given the policing minister [Chris Philp] expressed his desire to embed facial recognition technology in policing and is considering what more the government can do to support the police on this. Such embedding is extremely likely to include exploring integration of this technology with police body-worn video."

In statistical classification, machine learning, social and other sciences, a number of measures of association have been developed and used for assessing and comparing individual classifiers, raters, and their groups. Among the measures, we find the weighted kappa, extensively used by psychometricians, and the monotone and supremum correlation coefficients, prominently used by social scientists and statisticians. In this paper, we introduce, justify, and explore several new members of the class of functional correlation coefficients that naturally arise when comparing classifiers. We illustrate the performance of the coefficients by reanalyzing a number of confusion matrices that have appeared in the literature.

Faraday Future, the mysterious Chinese electric car poised to take on Tesla, unveiled its first production vehicle at CES yesterday. Dubbed the FF91, the self-driving car was described by the firm as representing an entirely'new species' of vehicle. But the company was left red-faced when it tried to demo the car's self-parking feature at its unveiling in Las Vegas. Before the car malfunctioned, the crowd at CES had watched a camouflaged prototype parking itself outside of the venue. It wasn't until the car had to perform the same manoeuvre on stage that events started taking a turn for the worse.

Faraday Future took the wraps off a long-awaited production car this week at CES in Las Vegas just as circumstances grow ever more challenging for the Los Angeles-based automotive startup backed by Chinese entrepreneur Jia Yueting. The company showed off the FF 91 crossover-style car late Tuesday that it says combines supercar performance with ultra-luxury ride and comfort, has advanced web-enabled entertainment features for passengers and even parks itself in crowded lots using autonomous driving technology. It tested the latter feature before a live audience on Monday, as well as clocking its acceleration on stage against high-end luxury vehicles from Bentley, Ferrari and Tesla. "The FF 91 will usher in a new age of connected vehicles," Nick Sampson, the company's senior vice president of engineering and R&D and a former Tesla engineer, said at the unveiling that was webcast, noting that interested buyers can reserve one at the company's website with a $5,000 deposit. Jia, who is also founder and CEO of LeEco, the so-called Netflix of China, joined Sampson and other Faraday executives at the Las Vegas event to mark the FF 91's unveiling.

Start-up Faraday Future has unveiled a self-driving electric car that it says can accelerate from zero to 60mph (97km/h) in 2.39 seconds. Faraday says the FF91 accelerates faster than Tesla's Model S or any other electric car in production. It was shown off at the CES tech show in Las Vegas. But Faraday Future has faced financial difficulties and one analyst said it had to challenge "scepticism" following last year's CES presentation. The FF91 was introduced via a live demo, in which it drove itself around a car park and backed into an empty space.

Electric car company Faraday Future unveiled "a new species" of car in Las Vegas on Tuesday night: an electric sedan that will have the acceleration of a Formula One car and the ability to learn and adapt to the driver. The FF 91, which the company says will go into production in 2018, would see Faraday Future compete with Tesla for the electric sports car market. The FF 91 has 1,050hp and can accelerate 0-60mph in 2.39 seconds, while the Tesla Model S P100D can reach 60mph in 2.5 seconds. The launch came ahead of the annual Consumer Electronics Show, which starts on Thursday. Nick Sampson, senior vice president at Faraday Future, said the car would feature a "driverless valet" system – where the driver can leave the car and order it to park itself – and two "aerodynamic antennas", which will enable the car to essentially act as a big wireless router.

Here it is, finally: the highly connected, ultra-luxury Faraday Future FF91 electric car. It's not just a car but "the first of a new species" that combines green transportation, autonomous mobility and top-flight digital entertainment, the company announced at an unveiling event in Las Vegas on Tuesday night. It features three electric motors, facial recognition software that will open the doors for you, seats that massage your body and outlets that provide aromatherapy for the harried commuter. The car looks like something out of science fiction. Faraday's finances carry a whiff of fiction too.