If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Back in 2006 when I was competing to secure my place on the U.S. Olympic figure skating team, I often found my body working faster than my brain could think. I would spin at nearly 300 rotations per minute, feeling each of my 650-plus muscles engage. I remember wondering how I could overcome the inefficiencies of being human: pain, fear and disorientation. Apparently, I was asking the same question as the ancient Greeks, who envisioned thinking machines capable of out-performing the human brain. While the pursuit of machines with human-like intelligence is an ancient one, it wasn't until recently that artificial intelligence was actually possible.
Animals are capable of empathising and feeling the pain of others, a study has found. Researchers investigating how animal brains function found a region known as the cingulate cortex is activated when an animal is in physical pain and is also active when looking at another animal in discomfort. A team from the Netherlands studied this region of the brain in rats and found they empathise with others in much the same way as humans do. And when the region of the brain is removed, so is the ability to relate to another's suffering. Research in the area could provide insights into psychiatric disorders where a lack of empathy is a key factor, such as in those observed in psychopaths, the scientists claim.
It is probably safe to assume there is now a meme for every single human emotion. Here's one with a particularly broad scope: It's meant to be used for any scenario that makes your heart rate go up. Of course, this could be loads of things. Perhaps you're feeling anxious, or scared, or excited. Perhaps you are simply experiencing the natural physical effects of exercise.
Video games are one of the most misunderstood forms of entertainment. In one sense, it's easy to see why: if you haven't had much interaction with them, watching someone play one can be a pretty unsettling experience. Gamers can often give the impression that they're glued to the screen, absorbed in what feels like the digital equivalent of junk food. At best, it seems like a pointless thing to do; at worst, we worry that games are socially isolating, or actively harmful. One of the longest-standing tropes about video games is that violent ones – like Call of Duty or Fortnite – can cause players to become more aggressive in the real world.
A new artificial intelligence system that employs Google Glass may be a resource for helping children with autism spectrum disorder (ASD) improve socialization skills, according to a recent study published in JAMA Pediatrics. The small clinical trial found that children using the wearable technology at home showed significant improvements in socialization skills, compared to their counterparts that received only the standard of care. Named Superpower Glass, the new system was designed to "encourage facial engagement" and provide feedback on social situations. The program, which runs on Google Glass, helps kids classify the emotion of the person they are interacting with. Using machine learning, the tools is able to identify eight emotions, and then cue the child via a robotic audio clip and a visual emoticon.
Great people always have an assistant by their side. Through quick conversations, Youper helps you monitor and take control of your emotional health. Youper is a useful AI tool to help reformulate thought patterns, think through scenarios, emotions and arrive at healthier states of mind. AI is the way of the future. I really love this app.
We present Lemotif. Lemotif generates a motif for your emotional life. You tell Lemotif a little bit about your day -- what were salient events or aspects and how they made you feel. Lemotif will generate a lemotif -- a creative abstract visual depiction of your emotions and their sources. Over time, Lemotif can create visual motifs to capture a summary of your emotional states over arbitrary periods of time -- making patterns in your emotions and their sources apparent, presenting opportunities to take actions, and measure their effectiveness. The underlying principles in Lemotif are that the lemotif should (1) separate out the sources of the emotions, (2) depict these sources visually, (3) depict the emotions visually, and (4) have a creative aspect to them. We verify via human studies that each of these factors contributes to the proposed lemotifs being favored over corresponding baselines.
What did you think of the last commercial you watched? Would you buy the product? You might not remember or know for certain how you felt, but increasingly, machines do. New artificial intelligence technologies are learning and recognizing human emotions, and using that knowledge to improve everything from marketing campaigns to health care. These technologies are referred to as "emotion AI." Emotion AI is a subset of artificial intelligence (the broad term for machines replicating the way humans think) that measures, understands, simulates, and reacts to human emotions.
Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emotion into tractable computational models. To address this, we propose a probabilistic programming approach to affective computing, which models psychological-grounded theories as generative models of emotion, and implements them as stochastic, executable computer programs. We first review probabilistic approaches that integrate reasoning about emotions with reasoning about other latent mental states (e.g., beliefs, desires) in context. Recently-developed probabilistic programming languages offer several key desidarata over previous approaches, such as: (i) flexibility in representing emotions and emotional processes; (ii) modularity and compositionality; (iii) integration with deep learning libraries that facilitate efficient inference and learning from large, naturalistic data; and (iv) ease of adoption. Furthermore, using a probabilistic programming framework allows a standardized platform for theory-building and experimentation: Competing theories (e.g., of appraisal or other emotional processes) can be easily compared via modular substitution of code followed by model comparison. To jumpstart adoption, we illustrate our points with executable code that researchers can easily modify for their own models. We end with a discussion of applications and future directions of the probabilistic programming approach.
If we could shrink the entire history of our planet to one year, humans would have shown up roughly at 11pm on 31 Dec. In the grand scheme of things, we are insignificant. However, if we expand our thinking to the entire observable universe, our evolutionary success is a stroke of near-impossible luck that comprises all the biological conditions and chances required for us to become the dominant species on this planet. Of the 300 billion solar systems in the Milky Way, Earth is the only planet on which we know life exists. Out of the 8.7 billion known species on earth, we became the first general intelligence.