We already know the destructive consequences on the individual and collective psyche of poverty, racism and systemic neglect. We don't need AI as targeting but as something that helps raise up whole populations. Computers are essentially just faster collections of vacuum tubes. How can they emulate human activities like recognising faces or assessing criminality? Think about a least squares fit; you're trying to assess the correlation between two variables by fitting a straight line to scattered points, so you calculate the sum of the squares of distances from all points to the line and minimise that.

Private one-to-one therapy can be prohibitively expensive; public waiting lists can be six months long and overprescription of antidepressants can become an unfortunate yet inevitable consequence of a mental healthcare system in crisis. It's a serious problem and, according to Minister of State for Mental Health Jim Daly, it's a problem that requires a "radical" solution. Last year Daly announced that the HSE are rolling out an eMental health strategy to address the mental health services staff shortage. The support project will include an instant messaging active listening service and the piloting of online therapy initiatives - and it can all be accessed from the comfort of your sitting room. Ireland isn't the first country to embrace eMental health.

A humanoid AI robot is set to open its own exhibition of artwork in Oxford, drawn independently using a robotic arm and an inbuilt camera. The robot, called Ai-Da after the mathematician Ada Lovelace, is said to be the first ultra-realistic robot capable of drawing people from life using her eye and a pencil in her hand, according to its creators. Ai-Da's solo exhibition Unsecured Futures, which opens at Oxford University from June 12, will showcase a selection of the robot's work, developed using AI processes and algorithms at the university. Ai-Da's solo exhibition Unsecured Futures, which opens at Oxford University from June 12, will showcase a selection of the robot's work, developed using AI processes and algorithms at the university The artwork will include drawing, painting, sculpture and video art, exploring the boundaries between AI, technology and organic life. The artwork will include drawing, painting, sculpture and video art, exploring the boundaries between AI, technology and organic life.

In 1888, the London-based accounting firm that became PricewaterhouseCoopers (PwC) faced a major technological upheaval thanks to the Burroughs adding machine. The first-ever mechanized calculator, an invention by William Seward Burroughs, cut the time to perform accounting tasks in half, and PwC's hundreds of workers had to quickly master the new system, or get left in the dust. Today, PwC isn't simply an accounting firm--now it's a global consultancy with 250,930 employees in 158 countries, raking in $43.1 billion in revenue in 2018--but once again it, along with thousands of other companies, faces a seismic technological shakeup with the advent of AI and other advanced technologies. It's rising to meet the challenge by preparing its workers to use digital technologies at all levels, from entry-level staff to C-suite executives. And it's not alone in its reskilling push--AT&T, IBM, Walmart and other forward-leaning companies also have major retraining programs underway.

NEW DELHI: A senior executive at a leading IT services company recently approached Sairee Chahal, founder of women career services portal SHEROES, to explore job options. The executive was worried there could be bad news for her at work. A patient of Samir Parikh at the department of mental health and behavioural sciences at Fortis Healthcare in New Delhi lost his job about two months ago. Along with the job, the patient lost complete self-confidence to face interviews. He used to get panic attacks and palpitations hours before an interview.

AI photography startup Meero may be the perfect example of how far the French Tech ecosystem has come in recent years. Founded in 2016, the company has already raised $63.4 million in venture capital, including a $45 million round last summer. It has almost 1,000 employees after the 400 it hired in just the past six months. And Meero was one of the few startups to stand out at the recent Viva Technology conference in Paris, an event largely organized around the digital transformation efforts of France's largest corporations. Meero's velocity and trajectory is the stuff that makes the hearts of French Tech boosters beat a little faster. Speaking on stage at VivaTech, cofounder and CEO Thomas Rebaud said he always dreamed about turning Meero into an international company and urged his employees to be ambitious.

It is a pleasure to announce ICAD 2019, the 25th International Conference on Auditory Display. The conference is hosted by the Department of Computer and Information Sciences, Northumbria University and will take place in Newcastle upon Tyne, UK on 23-27 June, 2019. The graduate student Think Tank (doctoral consortium) will be on Sunday, June 23, before the main conference. Digital technology and artificial intelligence are becoming embedded in the objects all around us, from consumer products to the built environment. Everyday life happens where People, Technology, and Place intersect.

In their paper "Drones and networks: Ensuring safe and secure operations", researchers Dr. Xingqin Lin, Henrik Rydén and Sakib Bin Redhwan describe how mobile networks are well suited to support low-altitude drone communication and to be integrated with drone traffic management systems to enhance the safety and security of drone operations. Many use cases require drones to transmit video feeds to their flight controllers, imposing heavy uplink traffic load on the networks. Therefore, it is important that mobile networks identify if a user equipment (UE) is a drone UE or a regular ground UE, in order to provide the right service optimization for drone UEs while ensuring the performance of ground UEs is not impacted. Aerial radio channels have a higher likelihood of line-of-sight propagation due to the absence of obstacles, so an uplink signal transmitted from a drone UE may reach multiple neighboring non-serving base stations and thus cause increased uplink interference. As soon as an uncertified drone is detected, interference mitigation techniques can then be initiated.

Deep learning has revolutionized the machine understanding of imagery. Yet today's image recognition models are still limited by the availability of large annotated training datasets upon which to build their libraries of recognized objects and activities. To address this, Google's Vision AI API expands its native catalog of around 10,000 visually recognized objects and activities with the ability to perform the equivalent of a reverse Google Images search across the open Web and tally up the top topics used to caption the given image everywhere it has previously appeared, lending unprecedentedly rich context and understanding, even yielding unique labels for breaking news events. What might this process yield for a week of television news? Google's Vision AI API represents a unique hybrid between traditional deep learning-based image labeling based on a library of previously trained models and the ability to leverage the open Web to annotate images based on the most common topics visually similar images are captioned with. Using its Web Entities feature, the Vision AI API performs what amounts to a reverse Google Images search over the open Web, identifying images across the entire Web that look most similar to the given image.

After enjoying years of steady growth, your business suddenly sees your customer satisfaction scores sinking. When you investigate, you find that your customer support team is simply not keeping up with the volume of requests that they're receiving. Customers have to wait two or more days for a first response, and they're voicing their discontent in growing numbers on social media. You don't have enough money in the budget to hire and train more support staff, so the only realistic solution is to use AI and automation. Which use cases should you try to automate, and which tools should you use?