Genetic Network Programming (GNP) is an evolutionary algorithm that extends Genetic Programming (GP). It is typically used in agent control problems. In contrast to GP, which employs a tree structure, GNP utilizes a directed graph structure. During the evolutionary process, the connections between nodes change to discover the optimal strategy. Due to the large number of node connections, GNP has a large search space, making it challenging to identify an appropriate graph structure. One way to reduce this search space is by utilizing simplified operators that restrict the changeable node connections to those participating in the fitness function. However, this method has not been applied to GNP structures that use separate graphs for each agent, such as situation-based GNP (SBGNP). This paper proposes a method to apply simplified operators to SBGNP. To evaluate the performance of this method, we tested it on the Tileworld benchmark, where the algorithm demonstrated improvements in average fitness.

The Mabu robot, with its small yellow body and friendly expression, serves, literally, as the face of the care management startup Catalia Health. The most innovative part of the company's solution, however, lies behind Mabu's large blue eyes. Catalia Health's software incorporates expertise in psychology, artificial intelligence, and medical treatment plans to help patients manage their chronic conditions. The result is a sophisticated robot companion that uses daily conversations to give patients tips, medication reminders, and information on their condition while relaying relevant data to care providers. The information exchange can also take place on patients' mobile phones.

Catalia Health and Pfizer today announced they have launched a pilot program to explore patient behaviors outside of clinical environments and to test the impact regular engagement with artificial intelligence (AI) has on patients' treatment journeys. The 12-month pilot uses the Mabu Wellness Coach, a robot that uses artificial intelligence to gather insights into symptom management and medication adherence trends in select patients. The Mabu robot can interact with patients using AI algorithms to engage in tailored, voice-based conversations. Mabu "talks" with patients about how they are feeling and helps answer questions they may have about their treatment. The Mabu Care Insights Platform then delivers detailed data and insights to clinicians at a specialty pharmacy provider to help human caregivers initiate timely and appropriate outreach to the patient.

Rayfield Byrd knows when it's time to wake up every morning. The 68-year-old Oakland, Cal., resident hears a voice from the living room offering a cheery good morning. A little after 8 a.m. each day, a small yellow robot named Mabu asks Byrd how he's doing. Byrd has Type 2 diabetes and congestive heart failure, and about three years ago, he had surgery to implant a microvalve in his heart to keep his blood flowing properly. To stay healthy, he takes four medications a day and needs to exercise regularly.

There is an unprecedented growth in the percentage of aging population throughout the world, particularly in growing economies such as Europe, Japan and China. Form 2000 to 2050, the percentage of the world's population who is 60 years of age and older will approximately double from about 12% to 22% (from 605 million to 2 billion). During the same period, the number of people aged 80 years and older will quadruple. In the USA, 14.5% of the population is 65 years or older, but by 2030 these number is anticipated to grow to 20%. This rapid aging demographic will directly affect social, economic and health outcomes for these growing economies.

Slowly and silently, they glide across the floor wearing bright yellow dresses that look like they were plucked from a haunted 1920s boarding school. No, you haven't encountered some Mothman-like terror entombed inside a department store mannequin, the byproduct of a twisted, futuristic fever dream. You've merely stepped inside Mongkutwattana General Hospital in Bangkok, where a team of robot nurses has been unleashed to make life easier. Their job: ferrying documents between eight stations inside the health-care facility, a job that used to be carried out busy human nurses, hospital director Reintong Nanna told Newsflare last year. "These robotic nurses help to improve the efficiency and performance of working in the hospital," he said.

This September, a study by the Stanford University School of Medicine and Unanimous AI found that a combination of human and machine intelligence could offer more accurate diagnoses than human doctors alone. Here's the interesting part: the swarm was also more accurate than intelligent software alone by a significant 22 per cent. So, instead of replacing medical professionals, AI can act as a helpful assistant. As well as more accurate diagnoses, how else can AI augment healthcare services? Every two years, the amount of available data in the world doubles.

Founded in 2014, Catalia Health has raised $7.8 million, with most of the money coming from two Seed rounds and a grant last year. The company is developing an interactive robotic "coach" called Mabu, which seems similar to the AI-driven robots being marketed toward elderly populations we covered recently. In this case, Mabu is intended to work with all sorts of patients but targeted for those living with chronic diseases such as diabetes to help manage their medical conditions. Mabu ensures medications are taken regularly but also collects information related to daily health based on a Q&A with the patient. Data collected is then sent to a care team for analysis and action.

In conversation, mitsuku admits she does not know if her name has any meaning; this is simply what her father called her. Actually, she does not really have a father. She has a Mouse-breaker, which is technically not a person, either, but a team of programmers who like beer and curry and share a fear of Daleks (the evil alien robots from Doctor Who). Mitsuku is quick-witted, occasionally confusing, and strangely engaging. She is also a chatbot, built from the A.L.I.C.E.

Justin Sullivan/GettyEatsa is San Francisco's fully automated fast food restaurant where orders appear in a cubby. At San Francisco's first fully automated restaurant, meals appear in little glass cubbies, just 90 seconds after customers order and pay on wall-mounted iPads. It's a human-less experience – no waitstaff, no cashier, no one to get your order wrong and no one to tip. The moment before the meal appears, the see-through display screen that fronts the cubbies goes black for the few seconds when you might catch sight of the hand that feeds you. Eatsa has not yet achieved total automation.