Facebook has stopped working, with Android users in particular reporting major problems opening the app. The issue appears to have arrived after a new update was pushed out to users through the Google Play Store. There were hundreds of reports of issues, with problems spread across the world, according to the website Down Detector. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Twitter users are set to see a dip in their followers, as the firm prepares a major purge of locked accounts. Tens of millions of suspicious accounts will be removed in the cull, with up to 6 per cent of all accounts potentially deleted. Locked accounts are restricted from posting by the social media site when it detects activity such as tweeting a large volume of unsolicited replies or mentions, and must be verified by owners before they can be unlocked. The firm said the removal of locked accounts – believed to number in the millions – is part of effort to "improve the health" of conversation on the platform by deleting suspicious and inactive accounts. Twitter's dark blue Night Mode is a lot easier on your eyes than its regular, vibrant theme. On the site, you can enable it by clicking your profile photo (on the right-hand side of the bar at the top of the screen) and selecting Night Mode.

Computer programs can, in some cases, predict chemical toxicity as well as tests done on rats and other animals.Credit: Coneyl Jay/SPL Machine-learning software trained on masses of chemical-safety data is so good at predicting some kinds of toxicity that it now rivals -- and sometimes outperforms -- expensive animal studies, researchers report. Computer models could replace some standard safety studies conducted on millions of animals each year, such as dropping compounds into rabbits' eyes to check if they are irritants, or feeding chemicals to rats to work out lethal doses, says Thomas Hartung, a toxicologist at Johns Hopkins University in Baltimore, Maryland. "The power of big data means we can produce a tool more predictive than many animal tests." In a paper published in Toxicological Sciences1 on 11 July, Hartung's team reports that its algorithm can accurately predict toxicity for tens of thousands of chemicals -- a range much broader than other published models achieve -- across nine kinds of test, from inhalation damage to harm to aquatic ecosystems. The paper "draws attention to the new possibilities of big data", says Bennard van Ravenzwaay, a toxicologist at the chemicals firm BASF in Ludwigshafen, Germany.

With a new generation quickly entering the modern workforce, it is never been more important for public-sector agencies to take a thoughtful, strategic approach to human capital management. It is hard to imagine a better time to start down that road, with state-of-the-art IT systems taking the guesswork out of human resources decisions and delivering a level of management insight that would have been unimaginable even a decade ago. That technology is certainly the cornerstone of government's efforts to stay ahead of a rapidly shifting workforce. Yet it is worth remembering that this is not the first massive wave of transformation the U.S. public service has faced. We have been here before, and it is useful to draw insight and inspiration from another memorable moment when America had to surmount an overwhelming HR challenge to achieve a fundamentally important objective.

Thanks to software developed by Neural Concept, an EPFL spin-off, bicycle engineers can quickly calculate the most aerodynamic shape for a bike. The software – which is being presented in Stockholm today at the International Conference on Machine Learning – applies artificial intelligence to a set of user-defined specifications. Engineers have already used the program to design a bike that they hope will break the world speed record this fall in Nevada. The current record for a bicycle travelling across flat road is 133.78 km/h, set in 2012 by a Dutch team at the World Human Powered Speed Challenge, which takes place every year in the Nevada desert. But this September, a team from IUT Annecy aims to beat that record.

Hospitals are still reliant on "archaic" fax machines with thousands still in use, a survey shows. Senior doctors said the continued use of the outdated technology was "ludicrous", and modern forms of communication were urgently needed. The poll, by the Royal College of Surgeons using freedom of information laws, revealed nearly 9,000 fax machines were in use across England. Newcastle upon Tyne NHS Trust topped the list, relying on 603 machines. "Alongside innovation like artificial intelligence and robot-assisted surgery, NHS hospital trusts remain stubbornly attached to using archaic fax machines for a significant proportion of their communications. This is ludicrous," said Richard Kerr, chair of the Royal College of Surgeons' Commission on the Future of Surgery.

A new leak of the Galaxy Note 9 suggests Samsung has settled on a design for its premium device and is sticking with it. An image that appears to show the front of the smartphone reveals an almost identical design to its predecessor, the Samsung Galaxy Note 8. The latest leak, courtesy of AndroidHeadlines, comes less than a month before the expected release date of the Galaxy Note 9, which is expected to be unveiled at an event on 9 August. Full specs will be revealed at the launch, though many have already surfaced in previous leaks. It is expected to feature an upgraded Qualcomm Snapdragon 845 processor, 6GB or RAM and a minimum of 64GB of storage.

UK company Babylon Health is testing an artificially intelligent medical chatbot in Rwanda.

As commerce and society feel the impact of digitization, automation proliferates along assembly lines and deployment of robotics gathers pace, an influential U.K. academic at the operating helm of the country's engineering academy says the time has come to ditch old clichés and have an apolitical holistic dialogue about future engineering skills. Meet Dr Hayaatun Sillem, Chief Executive of the Royal Academy of Engineering, who reckons such broader changes make it a "very interesting time" for engineers with the so-called Industry 4.0 or the next industrial revolution now firmly among us. "People should look at the ongoing transformation from a prism of not how many jobs will go, but rather at the changing nature and scope of roles and tasks. We should be optimistic that there would be many new jobs created partly through the fact that technology would enable us to do things we could not previously do." Dr Hayaatun Sillem, Chief Executive of the Royal Academy of Engineering, says the broader societal changes we are witnessing make it a "very interesting time" for engineers.Calum McCarron Looking at the size of the opportunity in a global context, engineers are not only among those feeling the first effects of Industry 4.0 but are also the drivers of a shift towards a technologically astute low carbon economy, she adds.

Researchers from Nvidia, MIT, and Aalto University are using artificial intelligence to reduce noise in photos. The team used 50,000 images from the ImageNet dataset to train its AI system for reconstructing photos, and the system is able to remove noise from an image even though it has never seen the image without noise. Named Noise2Noise, the AI system was created using deep learning and draws its intelligence from 50,000 images from the ImageNet database. Each came as a clean, high-quality image without noise but was manipulated to add randomized noise. Computer-generated images and MRI scans were also used to train Noise2Noise.