Faces play a magnificent role in human robot interaction, as they do in our daily life. The inherent ability of the human mind facilitates us to recognize a person by exploiting various challenges such as bad illumination, occlusions, pose variation etc. which are involved in face recognition. But it is a very complex task in nature to identify a human face by humanoid robots. The recent literatures on face biometric recognition are extremely rich in its application on structured environment for solving human identification problem. But the application of face biometric on mobile robotics is limited for its inability to produce accurate identification in uneven circumstances. The existing face recognition problem has been tackled with our proposed component based fragmented face recognition framework. The proposed framework uses only a subset of the full face such as eyes, nose and mouth to recognize a person. It's less searching cost, encouraging accuracy and ability to handle various challenges of face recognition offers its applicability on humanoid robots. The second problem in face recognition is the face spoofing, in which a face recognition system is not able to distinguish between a person and an imposter (photo/video of the genuine user). The problem will become more detrimental when robots are used as an authenticator. A depth analysis method has been investigated in our research work to test the liveness of imposters to discriminate them from the legitimate users. The implication of the previous earned techniques has been used with respect to criminal identification with NAO robot. An eyewitness can interact with NAO through a user interface. NAO asks several questions about the suspect, such as age, height, her/his facial shape and size etc., and then making a guess about her/his face.

The detention in Canada of Meng Wanzhou, Huawei's CFO and the daughter of its founder, is further inflaming tensions between the US and China. Her arrest is linked to a US extradition request on undisclosed charges, but China says it's a human rights violation and is demanding her swift release. Behind this very public drama is a long-running, behind-the-scenes one centered on western intelligence agencies' fears that Huawei poses a significant threat to global security. Among the spooks' biggest concerns are: The Chinese firm is the world's largest manufacturer of things like base stations and antennae that mobile operators use to run wireless networks. And those networks carry data that's used to help control power grids, financial markets, transport systems, and other parts of countries' vital infrastructure.

President Trump briefly joined the meeting, which marked an easing of tensions between Washington and Silicon Valley. Tech-industry executives have been critical of Mr. Trump's policies on immigration and climate change since his election. Other notable attendees included U.S. Trade Representative Robert Lighthizer and former Secretary of State Henry Kissinger. The summit's theme was "Industries of the Future." It was intended to be a listening session for tech leaders to share policy ideas, a senior administration official said.

Brad Smith, Microsoft's president and chief legal officer, dialed up the urgency on Thursday, arguing that delays to enacting new rules could "exacerbate societal issues." Society is ill-served "by a commercial race to the bottom, with tech companies forced to choose between social responsibility and market success," he wrote in a blog post. Mr. Smith also was scheduled to speak about Microsoft's position Thursday at the Brookings Institution in Washington, D.C., the same day a group of tech leaders from Microsoft and other companies visited the White House for a summit on issues including artificial intelligence. Microsoft's advocacy of regulation underlines the ambivalence over powerful new technologies enabled by advances in AI. Adoption of facial recognition is proceeding quickly--especially in China, where the government uses it extensively for surveillance--stirring concerns about potential misuse.

In 1988, the US and other nations formed the Intergovernmental Panel on Climate Change to study and respond to consequences of greenhouse gas emissions. In Montreal Thursday, the governments of France and Canada said they will establish a similar group to study and respond to the global changes being wrought by artificial intelligence technology. They say the panel is needed to rein in unethical uses of AI, and minimize the risk of economic disruption such as job losses caused by automation. Canadian Prime Minister Justin Trudeau announced plans for the International Panel on Artificial Intelligence with the French minister for digital affairs, Mounir Mahjoubi. Trudeau has launched several programs to advance Canadian investment in AI in recent years, and said he also wants to lead in considering the technology's potential downsides.

The head of the NHS in England, Simon Stevens, is in the news this morning. According to the Times, five million patients a month are waiting more than three weeks to see their GP. And the paper says 1,000 fewer family doctors are in post than when ministers pledged to recruit an extra 5,000 in 2015. Mr Stevens' plan for joined up care to keep patients out of hospital "relies on beefed-up GP surgeries offering more treatment and co-ordination locally, but despite extra money, £20,000 'golden hellos' and overseas recruitment drives, numbers continue to fall", the Times adds. Meanwhile, Mr Stevens is said to be at loggerheads with Downing Street, the Treasury and Department of Health and Social Care about how much his long-term plan for the health service can promise to boost care.

In July, we shared our views about the need for government regulation and responsible industry measures to address advancing facial recognition technology. As we discussed, this technology brings important and even exciting societal benefits but also the potential for abuse. We noted the need for broader study and discussion of these issues. In the ensuing months, we've been pursuing these issues further, talking with technologists, companies, civil society groups, academics and public officials around the world. We've learned more and tested new ideas. Based on this work, we believe it's important to move beyond study and discussion.

The Latest: On Tuesday November 6, Greg Clark, Secretary of State for Business, Energy and Industrial Strategy, announced that the national funding agency UK Research and Innovation (UKRI) will invest GBP50mn (USD64mn) in five new AI centres under Wave 2 of the Industrial Strategy Challenge Fund as part of the Data to Early Diagnosis and Precision Medicine initiative. Each centre will receive GBP10mn (USD12.8mn) in public funding augmented by investment from commercial partners, including Canon, GE Healthcare, Philips, Roche Diagnostics and Siemens. The investment marks a significant step in delivering on a major commitment in the Life Sciences Sector Deal agreed in December 2017, following publication of Sir John Bell's Life Sciences Industrial Strategy in August 2017. Implications: The AI centres will partner doctors and academics with leading medical device companies and innovative start-ups to develop new AI-based applications to improve early diagnosis of diseases, including cancer and cardiovascular diseases. As well as enhancing patient treatment, the initiative aims to achieve cost reductions for the NHS and free up resources for direct patient care.

You don't usually find companies asking for regulation on the technology that they're developing, but Microsoft is doing just that. The company wants Congress to write laws for its facial recognition technology in 2019. Microsoft is positioning itself as an outspoken elder statesman while still trying to beat its competitors. ALINA SELYUKH, BYLINE: For Silicon Valley, this has been a troubled year. UNIDENTIFIED REPORTER #3: Facebook just had what might be the biggest wipeout in stock market history.

Twenty-four employees at an Amazon warehouse in New Jersey were taken to hospital after a robot accidentally punctured a can of bear repellant. The 255g can containing concentrated capsaicin, a compound in chilli peppers, was punctured by an automated machine after it fell off a shelf, according to local media. The incident happened on Wednesday at a warehouse in Robbinsville, New Jersey, on the outskirts of Trenton. Amazon said: "All of the impacted employees have been or are expected to be released from hospital within the next 24 hours. The safety of our employees is always our top priority and a full investigation is already under way."