Fujita Health University in Toyoake, Aichi Prefecture, is partnering with Toyota Motor Corp. to open a Robotic Smart Home -- a base for nursing robots at the Toyoake apartment complex -- next spring. As the nation approaches a "superaging" society when the baby boomer generation turns 75 years old and above, the project aims to develop small robots that can be easily installed in small Japanese houses, with the cooperation of residents. The Toyoake housing complex opened in 1971 and currently has some 4,500 residents. But 45 years after its completion, the facility's occupants are now predominantly elderly with 26.2 percent aged over 65. In 2014, the university signed a comprehensive agreement on nursing care and medical services with the city of Toyoake and the Urban Renaissance Agency.

Machine learning, the artificial intelligence technology behind Tesla's self-driving cars and Amazon's Alexa, has great potential to put big data to work. But the growing field may have another bonus: providing new pathways for women to get into tech. "Not everyone has to have that PhD in computer science," senior machine learning recruiter at Microsoft Amanda Papp mentioned to me in conversation at the International Machine Learning Conference in New York. "We have folks that have more physics backgrounds or biomathematics or permutational biology. As machine learning teams grow, it could lead to more job opportunity at tech companies for women with majors in physical science, biology, and math.

As artificial intelligence gains popularity, designers will need to adapt. Here's how to get started. It seems like everyone wants to invest in artificial intelligence (AI). And it's not just the tech giants: USAA is using AI to protect its users from identity theft and Under Armour has connected its health app, MyFitnessPal, to IBM Watson so users can get a more thorough read of their health. AI is already a 15 billion dollar industry, according to the MIT Technology Review, with more than 2,600 companies developing their own tech, and the value of AI isreported to rise to over 70 billion by 2020.

Violence is everywhere in video games, but sex is still strangely taboo. On the off chance that sexual content is featured in a game, it tends to be weird, completely isolated from the rest of the gameplay and devoid of intimacy. But who says sex in games can't also be richly rewarding and even educational? For Robert Yang, indie developer and educator at the New York University Game Center, sex in video games can be a good thing. Yang's games have gone viral for their sophisticated, but lighthearted, approach to what happens between consenting adults.

Many people today can't resist snapping beautifully artistic photos of their meals, from the simple morning smoothie to that deliciously sinful sticky toffee pudding. But what if you could instantly find out how many calories you're about to consume as well? Boston-based startup AVA has launched an "intelligent eating" service that allows you to take a photo of your meal, send it to AVA via text and instantly receive nutritional and caloric information about your grub with the help of artificial intelligence and nutritionists. "We wanted to provide an easier way for people to track what they're eating and provide them with really personalised recommendations from a health coach based on what their specific needs are," co-founder and CMO of AVA, Jeanne Connon told IBTimes UK. "AVA uses artificial intelligence to assist nutritionists in estimating calories as well as making recommendations, factoring in historical eating habits, diet patterns, location and behavioural analysis against a database of roughly 50,000 meals." The team has not disclosed exactly how the AI-powered technology works since the service is still in private beta mode.

The artificial intelligence (AI) system is "based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explains Andrew Beck, an associate professor in pathology at Harvard Medical School, who heads the team developing the new system at Beth Israel Deaconess Medical Center (BIDMC), in Boston, MA. Prof. Beck and colleagues demonstrated the new AI system in a competition held at the annual meeting of the International Symposium of Biomedical Imaging (ISBI 2016) in Prague in April. He and his colleagues are developing AI methods that train computers to interpret pathology images to improve the accuracy of diagnoses. The approach they are using teaches computers to interpret the complex patterns seen in such images by "building multi-layer artificial neural networks," says Prof. Beck. The process is thought to be similar to the way learning takes place in the layers of neurons in the neocortex of the brain, the region where thinking occurs.

Remember the Jetsons' robot maid, Rosie? Massachusetts Institute of Technology researchers think her future real-life incarnations can learn a thing or two from Steve Carell and other sitcom stars. MIT says a computer that binge-watched YouTube videos and TV shows such as The Office, Big Bang Theory and Desperate Housewives learned how to predict whether the actors were about to hug, kiss, shake hands or slap high fives -- advances that eventually could help the next generation of artificial intelligence function less clumsily. "It could help a robot move more fluidly through your living space," lead researcher Carl Vondrick told The Associated Press in an interview. "The robot won't want to start pouring milk if it thinks you're about to pull the glass away."

We made it, space travelers. Ann Leckie's Ancillary Justice proved challenging in many ways--mentally, emotionally, grammatically. Find our concluding thoughts below (spoiler alert, needless to say), and follow up with responses of your own and questions for Leckie in the comments. We'll be talking to her next week. So, Did Breq Go Crazy Over the Death of Lieutenant Awn? Jay Dayrit, Editorial Operations Manager: I wouldn't say crazy, per se, maybe just an identity crisis.

Stress is actually a bit of a buzzword. The initial definition was "the reaction to changes", which is why you get stressed also when good things happen, hence the distinction between good stress, eustress, and bad stress, distress. Since the 90's, stress has become a synonym of the everyday hustling, describing a life style. We focus on the original definition, evaluating the user autonomic balance that can be estimated from heart rate variability (HRV). The autonomic nervous system (the sympathetic and parasympathetic systems) has a direct influence over most of our internal organs.

Artificial intelligence is expected to revolutionise the financial services industry with an unprecedented depth and breadth of insight and the ability to act on information and learn from its actions. However, many executives acknowledge a degree of risk surrounding the use of AI, according to a research from global law firm Baker & McKenzie. Trading, financial analysis and IT are expected to be changed the most over the next three years according to respondents, but the impact is expected to be wide ranging with machine learning to affect risk assessment, credit assessment and portfolio management. Survey respondents were clear that machine learning will have a positive impact on competitiveness in financial markets yet believe the most negative effects of AI will be in the makeup of the work force and market stability. Like with all technology, the introduction of AI in financial services will largely depend on how it is employed that will ultimately determine the risk and reward. It also raises important questions and concerns about the liability of a functioning AI platform.