At 2 a.m. in February, I found myself speaking with the family of a dying man. We had never met before, and I had only just learned of the patient. As an ICU doctor, I have been in this situation on many occasions, but there was something new this time. The family was 200 miles away, and we were talking through a video camera. I was staffing the electronic intensive care unit, complete with a headset, adjustable two-way video camera, and six screens of streaming data. The eICU at Emory University in Atlanta provides care by physicians trained in critical care medicine to a number of hospital locations within the large Emory system.

For the Defense Department, last month's executive order on artificial intelligence was the starting gun, and the department doesn't mean to lose the race it's been preparing for for some time. Air Force Lt. Gen. Jack Shanahan, director of the DoD's new Joint Artificial Intelligence Center, told lawmakers that he's already trying to stand up a small office around robotic process automation, a specific type of AI aimed towards improving business practices. He said he's already met with the department's chief management officer and chief data officer to discuss the matter, which he's convinced will yield many opportunities to help augment people currently doing those jobs. It's early in the process; he said the department wasn't concentrating on RPA a few months ago. But he's already prioritizing, and he thinks finance will be the first place to apply the new technology.

China has committed to becoming the world leader in AI by 2030, with goals to build a domestic artificial intelligence industry worth nearly $150 billion (according to this CNN article). Prompted by these efforts, the Semantic Scholar team at the Allen AI Institute analyzed over two million academic AI papers published through the end of 2018. Our analysis shows that China has already surpassed the US in published AI papers. If current trends continue, China is poised to overtake the US in the most-cited 50% of papers this year, in the most-cited 10% of papers next year, and in the 1% of most-cited papers by 2025. Citation counts are a lagging indicator of impact, so our results may understate the rising impact of AI research originating in China.

China has committed to becoming the world leader in AI by 2030, with goals to build a domestic artificial intelligence industry worth nearly $150 billion (according to this CNN article). Prompted by these efforts, the Semantic Scholar team at the Allen AI Institute analyzed over two million academic AI papers published through the end of 2018. Our analysis shows that China has already surpassed the US in published AI papers. If current trends continue, China is poised to overtake the US in the most-cited 50% of papers this year, in the most-cited 10% of papers next year, and in the 1% of most-cited papers by 2025. Citation counts are a lagging indicator of impact, so our results may understate the rising impact of AI research originating in China.

Given a set of data points $\{x {(1)}, ..., x {(m)}\}$ associated to a set of outcomes $\{y {(1)}, ..., y {(m)}\}$, we want to build a classifier that learns how to predict $y$ from $x$. Hypothesis ― The hypothesis is noted $h_\theta$ and is the model that we choose. For a given input data $x {(i)}$ the model prediction output is $h_\theta(x {(i)})$. Loss function ― A loss function is a function $L:(z,y)\in\mathbb{R}\times Y\longmapsto L(z,y)\in\mathbb{R}$ that takes as inputs the predicted value $z$ corresponding to the real data value $y$ and outputs how different they are. Remark: Stochastic gradient descent (SGD) is updating the parameter based on each training example, and batch gradient descent is on a batch of training examples.

Mentors have a pivotal role to play in education. Whether you are enrolled in a pre-service teacher program, working as an intern in a school, new to teaching or to a new school, you often have a mentor to help guide you through any transitions along the way. Most of the time the "mentorship" is formed between a more veteran teacher and a newer teacher, to help to lessen any feelings of being overwhelmed when starting the teaching journey. Mentors can help newer teachers find their place in the school, establish their classroom presence and get into a daily teaching practice. While I believe that mentoring for new teachers is critical, I think that an area that is often overlooked is that veteran teachers need mentors as well.

Tidying guru Marie Kondo believes that if it doesn't spark joy, you should get rid of it. In our AI business, we get little joy out of unnecessary expenses, so we make it a habit to declutter them on a regular basis. Any artificial intelligence (AI) or machine learning (ML) business owner will tell you that AI can be an expensive habit. Left unchecked, the costs of those pet projects, support services and data-storage needs can take over your profit & loss (P&L) statement with all the exuberance of a pile of unread New Yorkers. This is especially true as your business starts to rapidly scale, and the result can leave you sitting less than pretty.

Lord Burnett of Maldon, the current Lord Chief Justice, has set up a new Advisory Body with the aim of ensuring that the Judiciary of England and Wales is fully informed about developments in artificial intelligence (AI). Professor Richard Susskind, President of the Society for Computers & Law, has been named chair of the body, and in a recent interview stated that AI has taken off in the last six or seven years, to the point where it has become "affordable and practical". Professor Susskind believes that the new group will start a dialogue among the judiciary about "one of the most influential technologies that there is", and recognises the importance of judges being open to the opportunities that AI technology could offer to the court system (with "practical tasks" cited as an example). The 10-person team will be made up of both senior judges (including Lord Neuberger, past President of the UK Supreme Court, and Lady Justice Sharp, Vice-President of the Queen's Bench Division), as well as leading experts on AI and law (such as Professor Katie Atkinson, past President of the International Association for AI and Law). There is little doubt that automation already plays an essential role for the legal profession, for example, in large disclosure exercises.

It's always cool to see lionfish while snorkeling or scuba diving. They're spectacular-looking, and because they're covered in flamboyant spines, they're usually secure enough in their invincibility that they'll mostly just sit there and let you get close to them. Lionfish don't make for very good oceanic neighbors, though, and in places where they're an invasive species and have few native predators (like most of the Atlantic coast of the United States), they do their best to eat anything that moves while breeding almost continuously. A single lionfish per reef reduced young juvenile fish populations by 79 percent in only a five-week period. Many species were affected, including cardinalfish, parrotfish, damselfish, and others.

NEW YORK - Microsoft Corp. on Thursday said it is combining elements of its video gaming and Azure cloud computing businesses to court game developers, an action designed to use the strength of its XBox gaming franchise to gain ground on cloud services leader Amazon.com. Microsoft said it will start rolling out "Microsoft Game Stack," a group of services that lets game developers do things like host multiplayer games and match players of similar skill levels. The services are designed to work for titles played on any device -- including those with operating systems from Microsoft's onetime rivals like Apple and Google. Microsoft competes against Amazon Web Services division to sell those cloud services. But it has been in the console gaming business with its XBox device since 2001 and had 64 million users for its XBox Live online gaming service.