Independent French developer Ocelot Society has announced their new game, Event[0]. The sci-fi game is focused on both narrative and exploration, only the focus is on building a relationship with a lonely artificial intelligence and not just walking down hallways. Featured above, you can view the game's announcement trailer. Clearly inspired by sci-fi classes like 2001: A Space Odyssey, players will be tasked with building exploring dialogue as they slowly build a relationship with the AI known as Kaizen. As you explore the ship and talk with the AI, you'll eventually uncover the situation and hopefully return to earth.

It's not easy to be healthy. And it's even harder to be healthy at work, where chances are--despite the vogue for standing desks and the like--you're parked in a chair for most of the day, focused on a screen. The average workweek, by one recent measure, is now 47 hours and counting. By and large, more time spent at the office means more time hunched over a computer, probably eating lunch at a desk. Stress--which has been linked to increased risk of stroke, heart disease, and other health issues--is just about inevitable as a result.

The worry is that new industries and occupations that will potentially be created won't come in time and won't be enough to provide jobs and incomes for the millions of workers displaced by new technologies. In the past few weeks, I had the opportunity to visit a handful of centers of innovation and speak with some of the world's leading experts in technology information and robotics. As is usual in this environment, there was an air of contagious optimism. But there was also a lot of worry about the impact new technologies would have and many doubts about the societal, economic and political capability to adapt to it.

Brain function is made possible by an interconnected structure of neurons, glia and microvessels relying on exchange of information with one another as well as with the extracellular compartment. This communication engenders the phenomenon of the mind, frequently referred to as the mental trilogy: cognition (thinking), emotion (assigning value to stimuli), and motivation (setting and achieving goals) (1). In order to accomplish these tasks the brain utilizes over 100 billion cells and 600 km of microvessels (2) embedded in an extracellular matrix (ECM) of proteins, polysaccharides and interstitial fluid (ISF) (3). As we are getting well into the 21st century, it has become clearer that the mind is the product of the brain, just as the body movement is the product of the musculoskeletal system. With the same token, it is clearer and clearer that psychiatric disorders are disruptions of cellular or molecular communication in brain networks.

Artificial intelligence is usually associated with futuristic sci-fi movies and the rise of the machines against humanity. What many people don't realise is that it's commonplace today, and something you've probably not noticed has become a critical part of your life. The intelligence Facebook uses to make friends suggestions or how Google photos recognises faces and places are both examples of AI, and machine learning, in action. AI is also being used in organisations worldwide to augment and assist human employees to do their jobs better and smarter. In South Africa, Stellenbosch-based CLEVVA has developed an AI platform that enables companies to rapidly and easily deploy Virtual Advisors across every aspect of their businesses.

The media interest surrounding deep learning has grown exponentially in the last few years. But what does it actually mean, and how will it change business and society? Deep learning is a subset of machine learning that refers to mapping artificial neural networks to recreate some of the same processes that the human brain performs, and using algorithms with speech, images and text, to recognise, identify and understand patterns in the data. Although this sounds simple, it involves complex processes and functions - but once trained, the application of deep learning algorithms could be world changing. For instance, a machine that learns like a human, but can rapidly process thousands of images and recognise patterns, is already showing promise for applying deep learning to medical imaging.

Major landmarks around the world are Lighting It Up Blue on April 1 and 2 to raise awareness about Autism Spectrum Disorders (ASD) for World Autism Awareness Day at Forte Sangallo on April 02, 2016 in Nettuno, Italy. In recent months, artificial intelligence (AI) has been making its presence known in different fields of sciences. In fact, AI is deemed as a valuable asset in precision medicine. But now, a team of researchers is exploring the possibilities if machine learning could play a vital part in autism screening, diagnostics and intervention. Before delving deeper into the latest research on the importance of artificial intelligence in autism screening and diagnostics, let's first define the two most relevant subjects on the study - autism and machine learning. According to Autism Speaks, autism refers to the "general term used for group of complex disorders of brain development," which are marked by social interaction, verbal and nonverbal communication difficulties, as well as repetitive behaviors.

When Liz Jurcik of Seattle felt a sharp pain in her side and back in January of 2013, she didn't think much about it. Jurcik, a 31-year-old human resources professional at Boeing, ran regularly and was in good shape. She thought it was probably a strained muscle from a workout. But the pain got worse, and by early February she could barely stand up. "I had the absolutely worst pain in my life," she said.

In a discovery that raises fundamental questions about human behavior, researchers at the University of Virginia School of Medicine have found that the immune system directly affects -- and even controls -- our social behavior, such as our desire to interact with others. That finding could have significant implications for neurological diseases such as autism-spectrum disorders and schizophrenia, the researchers suggest. "The brain and the adaptive immune system were thought to be isolated from each other, and any immune activity in the brain was perceived as sign of a pathology. And now, not only are we showing that they are closely interacting, but some of our behavior traits might have evolved because of our immune response to pathogens," explained Jonathan Kipnis, chair of UVA's Department of Neuroscience. "It's crazy, but maybe we are just multicellular battlefields for two ancient forces: pathogens and the immune system. Part of our personality may actually be dictated by the immune system."

About 12% of women in the US will develop invasive breast cancer over the course of their lifetime, and there are expected to be close to 250,000 new cases of breast cancer in 2016 alone. With a breast cancer diagnosis comes fear, anxiety, stress, added expenses and--sometimes--a missed diagnosis. Approximately 5% to 17% of breast cancers are missed by a radiologist. Mammograms can also result in a false positive or an overdiagnosis, which leads to additional and unnecessary cancer treatment for the patient. According to a study by Health Affairs, between 22% and 31% of all diagnosed breast cancers are overdiagnosed, resulting in an additional 4 billion in health-care spending annually.