BEDFORD, MASSACHUSETTS - Robot vacuums have now been around long enough that you might watch one bump around a living room and think, why isn't there a robot that could mow my lawn? Turns out, it's not for lack of trying. For more than a decade, iRobot, the company behind the Roomba vacuumbot, has been working -- and working -- on robotic lawn mowers. Now it finally has something to show for the effort, though it's come at a cost. "Honestly, this robot drove me insane," said iRobot CEO Colin Angle after showing off Terra, the company's long-awaited first lawn mower.

Zhavoronkov says AI can speed up and reduce costs for drug development which – involving several phases of clinical trials, government approval and licensing – can last more than a decade. "Moving to Hong Kong [which is a special administrative region of China] is the first step for us to go to China. The future for AI is in China as AI is about data and China has more data than any other country. The [Chinese] government also supports AI more than any other country," he says. "Hong Kong also has a great banking system and a great airport for you to fly pretty much everywhere in the world."

When evaluating artificial intelligence (AI) solutions for a health system, cybersecurity may not be one of the first considerations. In an age of increasing security threats, data management by outside parties opens the door to additional risk. How can health system executives ensure that their AI and machine learning endeavors protect patient data, meet HIPAA compliance, and minimize security threats? HealthLeaders spoke to representatives at Clearwater and Digital Reasoning about this issue. The two Nashville-based companies announced a three-year cyber risk partnership today, which fortifies Digital Reasoning's artificial intelligence- (AI) powered solutions with Clearwater's cybersecurity and HIPAA compliance program.

IRobot eventually won permission from the Federal Communication Commission to use ultra-wide bandwidth for wireless robotic lawn mowers -- though not before Harvey Liszt, spectrum manager for the National Radio Astronomy Observatory, argued to the FCC that "there is already a competitive market for robotic lawn mowers using wire loops, which has somehow failed to stanch the stream of ghastly accidents and spilt gasoline that iRobot associates with the mundane practice of lawn-mowing."

Transportation systems serve the people in essence, in this study we focus in traffic information related to violation events to respond to safety requirements of the cities. Traffic violation events have an important role in city safety awareness and secure travel. In this work, we describe the use of knowledge discovery from traffic violation reports in combination with demographics approach using inductive logic programming to automatically extract knowledge about traffic violation behavior and their impact on the environment.

Gene expression profiles have been widely used to characterize patterns of cellular responses to diseases. As data becomes available, scalable learning toolkits become essential to processing large datasets using deep learning models to model complex biological processes. We present an autoencoder to capture nonlinear relationships recovered from gene expression profiles. The autoencoder is a nonlinear dimension reduction technique using an artificial neural network, which learns hidden representations of unlabeled data. We train the autoencoder on a large collection of tumor samples from the National Cancer Institute Genomic Data Commons, and obtain a generalized and unsupervised latent representation. We leverage a HPC-focused deep learning toolkit, Livermore Big Artificial Neural Network (LBANN) to efficiently parallelize the training algorithm, reducing computation times from several hours to a few minutes. With the trained autoencoder, we generate latent representations of a small dataset, containing pairs of normal and cancer cells of various tumor types. A novel measure called autoencoder node saliency (ANS) is introduced to identify the hidden nodes that best differentiate various pairs of cells. We compare our findings of the best classifying nodes with principal component analysis and the visualization of t-distributed stochastic neighbor embedding. We demonstrate that the autoencoder effectively extracts distinct gene features for multiple learning tasks in the dataset.

In the past few years, there's been a dramatic rise in the adoption of face recognition, detection, and analysis technology. You're probably most familiar with recognition systems, like Facebook's photo-tagging recommender and Apple's FaceID, which can identify specific individuals. Detection systems, on the other hand, determine whether a face is present at all; and analysis systems try to identify aspects like gender and race. All of these systems are now being used for a variety of purposes, from hiring and retail to security and surveillance. Many people believe that such systems are both highly accurate and impartial.

NASA's asteroid-chasing spacecraft has released the most detailed views yet of its oddly-shaped target from more than 1.4 billion miles away from home. Since OSIRIS-REx reached orbit around asteroid Bennu at the beginning of this year, its snapshots have brought us closer and closer to the nearby asteroid. At just 1,600 feet across, Bennu is the smallest object ever to be orbited by a spacecraft. The latest batch of images shows Bennu in staggering new detail from when OSIRIS-REx was just one mile above the surface. NASA's asteroid-chasing spacecraft has released the most detailed views yet of its oddly-shaped target from more than 1.4 billion miles away from home.

A Justice Department indictment unsealed on Monday details an alleged conspiracy by the Chinese device maker Huawei to steal the details of a T-Mobile robot. Here, a woman uses her smartphone outside a Huawei store in Beijing on Tuesday. A Justice Department indictment unsealed on Monday details an alleged conspiracy by the Chinese device maker Huawei to steal the details of a T-Mobile robot. Here, a woman uses her smartphone outside a Huawei store in Beijing on Tuesday. But only one of them reads like the script of a slapstick caper movie.

The twin criminal indictments against Huawei unveiled by US authorities on Monday are packed with emails and financial transactions allegedly showing how the Chinese technology giant carried out criminal conspiracies. But the finer points of the 23 charges are less important than the overall shot they deliver across China's bows. The US considers Huawei to be an arm of the Chinese state – and their devices to be potential spying equipment for Beijing. Charges that Huawei illegally violated US sanctions on Iran hold the most symbolic significance. They allowed Kirstjen Nielsen, the homeland security secretary, to stress the company's activities had been "detrimental to the security of the United States".