Patient notes contain a wealth of information of potentially great interest to medical investigators. However, to protect patients' privacy, Protected Health Information (PHI) must be removed from the patient notes before they can be legally released, a process known as patient note de-identification. The main objective for a de-identification system is to have the highest possible recall. Recently, the first neural-network-based de-identification system has been proposed, yielding state-of-the-art results. Unlike other systems, it does not rely on human-engineered features, which allows it to be quickly deployed, but does not leverage knowledge from human experts or from electronic health records (EHRs). In this work, we explore a method to incorporate human-engineered features as well as features derived from EHRs to a neural-network-based de-identification system. Our results show that the addition of features, especially the EHR-derived features, further improves the state-of-the-art in patient note de-identification, including for some of the most sensitive PHI types such as patient names. Since in a real-life setting patient notes typically come with EHRs, we recommend developers of de-identification systems to leverage the information EHRs contain.

Rai said that his AI system shows that the candidate in each election who had leading engagement data ended up winning the election. "If Trump loses, it will defy the data trend for the first time in the last 12 years since Internet engagement began in full earnest," Rai wrote in a report sent to CNBC. Currently most national polls put Clinton and the Democrats ahead by a strong margin. Rai said his data shows that Clinton should not get complacent. But the entrepreneur admitted that there were limitations to the data in that sentiment around social media posts is difficult for the system to analyze.

Introduction: In the first blog, we decided on the predictors. We knew that different predictive models have different assumptions about their predictors. Random Forest has none, but Logistic Regression requires normality of the continuous variables, and assumes the probability between 2 consecutive unit levels in a series of numbers to stay constant. K Nearest Neighbors requires the predictors to be at least on the same scale. SVM, Logistic Regression, and Neural Networks tend to be sensitive to outliers.

The BoniRob is a multipurpose robotic platform for agricultural applications featuring independently steerable drive wheels and adjustable track width. Field farming is "the world's oldest profession," and not just because food plants have been cultivated for over 10,000 years. Its individual practitioners are old as well, the median age rising rapidly as young people abandon the farming lifestyle (the U.S. Department of Agriculture reports a median age of 58 in 2012, up from 55 in 2002, with other countries showing similar data). Those who remain face the same repetitive work of seeding, weeding, feeding, and harvesting, the tedium of each task increasing as farms grow ever larger. However, today's agricultural robots excel at repetitive tasks, letting farmers tend to more strategic matters.

Super-statistician Nate Silver has a rival - and it's not human. An Indian artificial intelligence system which correctly predicted the primaries as well as the last three U.S. presidential elections has forecast a win for Donald Trump. MoglA scans and analyzes internet information from sites including Google, Facebook, Twitter and YouTube to make its predictions, CNBC reported. The technology is named after Mowgli, Rudyard Kipling's character in The Jungle Book, because it learns from its environment. Part of the technology's calculations is the amount of engagement a candidate gets online from the general population.

The new MacBook Pro was always going to be expensive. But it is very expensive indeed in the UK, after the prices were shifted because of the falling pound. The computers are as much as £500 more expensive than previous models, because of a combination of the currency changes and the upgrades introduced by Apple. Buying the cheapest version of the MacBook Pro with Touch Bar that was released yesterday will cost customers £1,749. Customers can spend as much as £2,699 on stock models of the computer, if they buy the 15-inch version.

The New York businessman with a penchant for celebrity television may suddenly find himself in love with artificial intelligence developed in India. The polls and simulations that involve the skills and insight of human beings suggest Donald Trump could be heading for something of a pasting. But an artificial intelligence (AI) system developed in Mumbai, and which correctly predicted the last three US presidential elections, puts the Republican nominee ahead of his rival Hillary Clinton in the battle to secure the keys to the White House. MogIA was developed by Sanjiv Rai, the founder of Indian start-up Genic.ai. It has taken 20 million data points from public platforms such as Google, Facebook and Twitter and analysed the information to create predictions, CNBC reported.

European privacy experts have sent letters to WhatsApp telling it to stop sharing people's data with Facebook. WhatsApp announced in recent weeks that it would start handing over information about the people who use it to Facebook, so that its parent company could use that data to better target ads. But the company didn't give a very easy way of opting out of it, and the deal has drawn the attention of customers and regulators. Now EU privacy watchdogs have told WhatsApp and Facebook that the deal must be stopped until it can be checked whether it is legal or not. Presumably if the deal is found to be illegal then it will be forced to stop.

Apple has launched its latest products in its headquarters in Cupertino, California. In the 24 hours since, I've been trying out the new MacBook Pro for size. First of all, I should point out that this is the entry-level MacBook Pro, not the more expensive MacBook Pro with TouchBar. TouchBar is the ground-breaking innovation where the top row of function keys is replaced with a long, touch-sensitive display strip. I tried this briefly and it's frankly pretty amazing. But I'll be reviewing that and the sapphire-crystal power and Touch ID button also found on the MacBook Pro with TouchBar in due course.

If you're inclined to think of cybersecurity as lending itself to clean, elegant, better-than-human, extremely secure solutions, you probably don't work in the field. But one bias held by many in information security is that much of the mess is because humans -- not hackers, shoddy software or poorly-built devices -- are the source of the vast majority of our digital vulnerabilities. Why extend the time and energy to hack into a heavily-guarded system, security experts might opine, if you can simply trick a user into clicking a link laden with malware? If businesses didn't have to deal with the "end user" (that is, you and I), this reasoning goes, all our problems would be solved. This represents a quiet bias against users in nearly every conversation about cybersecurity.