Andrew Meieran is about to reopen the doors of one of L.A.'s legendary restaurants in a bid to once again make it an offbeat dining and entertainment destination. Meieran is the proprietor of Clifton's Republic, the kitschy, forest-themed restaurant on Broadway in downtown's Historic Core that for nearly a century served up comfort food such as pot roast, mashed potatoes and Jell-O. The five-story restaurant and bar complex has been closed for the last year after a burst water pipe caused a flood that destroyed the kitchen and collapsed the ceilings on three floors. Clifton's is scheduled to reopen next month after extensive repairs and renovations. Among the changes patrons will find is a basement venue several years in the making that Meieran said is "dedicated to innovation and the magic of experiences" with "entertainment, cocktails and culinary offerings." Andrew Meieran has ambitious vision for Clifton's Cafeteria Meieran is keeping details under wraps for now, but he has demonstrated a knack for creating provocative entertainment and dining venues through an obsessive attention to offbeat details, as well as a willingness to spend more money than most real estate developers to realize his vision and preserve the historic integrity of his projects.

Drugs are a cornerstone of medicine, but sometimes doctors make mistakes when prescribing them and patients don't take them properly. A new AI tool developed at Oxford University aims to tackle both those problems. DrugGPT offers a safety net for clinicians when they prescribe medicines and gives them information that may help their patients better understand why and how to take them. Doctors and other healthcare professionals who prescribe medicines will be able to get an instant second opinion by entering a patient's conditions into the chatbot. Prototype versions respond with a list of recommended drugs and flag up possible adverse effects and drug-drug interactions.

Have you ever slammed on your brakes for a squirrel? When you drive your car, you make decisions which impact your life and the lives of those around you. In the case of the squirrel, you decided in a split second. "Do I risk a collision, costing myself and others time, pain, and money, or do I mow down the foolhardy animal?" Now imagine that the squirrel was a child on a bicycle and that your car was making the decision for you.

Would you care if a story you read in a newspaper or online was "written" by a machine rather than a stressed-out hack? Would you even be able to tell the difference? Welcome to the world of "robo journalism" - and it's coming faster than you think. Squirrelled away at the Press Association's (PA) headquarters in London is a small team of journalists and software engineers. They're working on a computer system that can do the work of multiple human beings, picking out interesting local data trends - everything from crime statistics to how many babies are being born out of wedlock.

In this paper, we introduce a novel task for machine learning in healthcare, namely personalized modeling of the female hormonal cycle. The motivation for this work is to model the hormonal cycle and predict its phases in time, both for healthy individuals and for those with disorders of the reproductive system. Because there are individual differences in the menstrual cycle, we are particularly interested in personalized models that can account for individual idiosyncracies, towards identifying phenotypes of menstrual cycles. As a first step, we consider the hormonal cycle as a set of observations through time. We use a previously validated mechanistic model to generate realistic hormonal patterns, and experiment with Gaussian process regression to estimate their values over time. Specifically, we are interested in the feasibility of predicting menstrual cycle phases under varying learning conditions: number of cycles used for training, hormonal measurement noise and sampling rates, and informed vs. agnostic sampling of hormonal measurements. Our results indicate that Gaussian processes can help model the female menstrual cycle. We discuss the implications of our experiments in the context of modeling the female menstrual cycle.

Google is giving British journalists over €700,000 to help them incorporate artificial intelligence into their work. Google awarded the grant to The Press Association (PA), the national news agency for the UK and Ireland, and Urbs Media, a data driven news startup. It's one of the largest handed out by Google's €150 million Digital News Initiative (DNI) Innovation Fund. Peter Clifton, editor-in-chief of PA, explained that humans would still be involved in producing AI-assisted stories. "Skilled human journalists will still be vital in the process, but RADAR allows us to harness artificial intelligence to scale up to a volume of local stories that would be impossible to provide manually," Clifton said in a statement.

Robots will help a national news agency to create up to 30,000 local news stories a month, with the help of human journalists and funded by a Google grant. The Press Association has won a €706,000 (£621,000) grant to run a news service with computers writing localised news stories. The national news agency, which supplies copy to news outlets in the UK and Ireland, has teamed up with data-driven news start-up Urbs Media for the project, which aims to create "a stream of compelling local stories for hundreds of media outlets". It won one of the largest grants to date from Google's Digital News Initiative (DNI), which is aimed at supporting innovation in European digital journalism. PA and Urbs Media will set up Radar – Reporters And Data And Robots – to produce thousands of stories each month.

It's no secret that Google has broad ambitions in healthcare. But a document obtained by New Scientist reveals that the tech giant's collaboration with the UK's National Health Service goes far beyond what has been publicly announced. The document – a data-sharing agreement between Google-owned artificial intelligence company DeepMind and the Royal Free NHS Trust – gives the clearest picture yet of what the company is doing and what sensitive data it now has access to. The agreement gives DeepMind access to a wide range of healthcare data on the 1.6 million patients who pass through three London hospitals run by the Royal Free NHS Trust – Barnet, Chase Farm and the Royal Free – each year. This will include information about people who are HIV-positive, for instance, as well as details of drug overdoses and abortions.

We develop a personalized real time risk scoring algorithm that provides timely and granular assessments for the clinical acuity of ward patients based on their (temporal) lab tests and vital signs. Heterogeneity of the patients population is captured via a hierarchical latent class model. The proposed algorithm aims to discover the number of latent classes in the patients population, and train a mixture of Gaussian Process (GP) experts, where each expert models the physiological data streams associated with a specific class. Self-taught transfer learning is used to transfer the knowledge of latent classes learned from the domain of clinically stable patients to the domain of clinically deteriorating patients. For new patients, the posterior beliefs of all GP experts about the patient's clinical status given her physiological data stream are computed, and a personalized risk score is evaluated as a weighted average of those beliefs, where the weights are learned from the patient's hospital admission information. Experiments on a heterogeneous cohort of 6,313 patients admitted to Ronald Regan UCLA medical center show that our risk score outperforms the currently deployed risk scores, such as MEWS and Rothman scores.

Details of Google's DeepMind data-sharing agreement with the UK NHS revealed that the AI system would have access to millions of patient records. The agreement, according to the NHS, is for direct clinical use only. Google's deal with the National Health Service (NHS) will allow artificial intelligence units to access as many as 1.6 million private patient records, a new report has revealed. The data-sharing agreement, according to New Scientist, which first unmasked its true nature, would give Google's DeepMind unrestricted access to sensitive data that the Royal Free NHS Trust has. As early as 2014, Google has partnered with several scientists to understand human health.