Collaborating Authors


New startup shows how emotion-detecting AI is intrinsically problematic


In 2019, a team of researchers published a meta-review of studies claiming a person's emotion can be inferred from their facial movements. They concluded that there's no evidence emotional state can be predicted from expression – regardless of whether a human or technology is making the determination. "[Facial expressions] in question are not'fingerprints' or diagnostic displays that reliably and specifically signal particular emotional states regardless of context, person, and culture," the coauthors wrote. "It is not possible to confidently infer happiness from a smile, anger from a scowl, or sadness from a frown." Alan Cowen might disagree with this assertion.

Artificial intelligence can detect our inner emotions via 'invisible signals'


Can't get your partner to ever tell you how they really feel? There may be an app for that…one day. Scientists can now predict how someone is feeling using radio waves to measure heart rate and breathing. The wireless signals can detect a person's feelings even in the absence of any other visual cues such as facial expressions. This AI technology could be used to help reveal our inner emotions.

Human Perception of Visual Information


Recent years have witnessed important advancements in our understanding of the psychological underpinnings of subjective properties of visual information, such as aesthetics, memorability, or induced emotions. Concurrently, computational models of objective visual properties such as semantic labelling and geometric relationships have made significant breakthroughs using the latest achievements in machine learning and large-scale data collection. There has also been limited but important work exploiting these breakthroughs to improve computational modelling of subjective visual properties. The time is ripe to explore how advances in both of these fields of study can be mutually enriching and lead to further progress. This book combines perspectives from psychology and machine learning to showcase a new, unified understanding of how images and videos influence high-level visual perception - particularly interestingness, affective values and emotions, aesthetic values, memorability, novelty, complexity, visual composition and stylistic attributes, and creativity.

Sponsored post: Should robots have a voice in society?


For the past few decades, robots have been confined to the factory floor. Robotic arms, concealed in big industrial buildings, weld cars, inspected items on conveyor belts and build complicated things. This is all well hidden behind closed doors. And for good reason -- industrial robots are bulky, limited, and sometimes dangerous. As robot tech and AI have advanced, robots have exploded into pedestrian spaces.

What are the types of artificial intelligence?


The artificial intelligence is a science, and like all examples has its subdivisions. See below, which are the types of artificial intelligence according to their capabilities and functionalities within the spectrum of approximation between the functioning of machines and the human brain. Since AI research aims to make machines "emulate" human-like functioning, the degree to which an AI system can replicate human capabilities is used as the criterion for determining the types that exist. Depending on how a machine compares to humans in terms of versatility and performance, artificial intelligence can be classified into one or several types of AI. The greater the ability to perform more human-like functions with equivalent levels of proficiency will be considered a more evolved type of artificial intelligence, while those with limited functionality and performance is considered a simpler and less evolved type.

Emotion Detection using Python - Geeky Humans


In this tutorial, we'll see how we can create a python program that will detect emotion on a human face. This might be interesting if you want to do things like emotion detection using python, or if you're training machine learning systems to read human emotions. We're going to create a program that takes an image as an input and outputs a list of human emotions that the image invokes. To do this, we're going to use a package called Deepface. Deepface is an open-source face recognition attribute analysis framework that was created for python.

How is Affectiva Using Artificial Intelligence to Build Better Products


Artificial intelligence is an on-demand technology that is booming like never before. And so many big tech companies are adopting and using it in various modes to provide their users with great products and services. Affectiva is one such company that is based in Boston that builds artificial intelligence which is capable of understanding human emotions, activities, cognitive states, and objects people use, by analysing facial and vocal expressions. The company was spun out of MIT Media Lab and created the new technology category of artificial emotional intelligence. Affectiva builds its artificial intelligence with various other technologies such as deep learning, speech analytics, computer vision, and other large amounts of data that have been collected in real-world scenarios.

10 Takeaways from the Harvard Business Review on Artificial Intelligence


There have been Kondratiev waves throughout history, commonly referred to as innovation waves, including the invention of electricity, the printing press, and the steam engine. All of these technologies spurred a paradigm shift which resulted in transforming the way the world operated. Today, many believe AI is the next Kondratiev wave and that it will be responsible for transforming how businesses create value, how people work, and ultimately how people live. For businesses to survive the era of AI, they must prepare to abandon legacy technology and invest in new ways of doing things, sometimes reasonably quickly in order to stay relevant. This phenomenon is called the "burning platform" effect, based on the idea that in order to stay competitive, businesses must adopt a radical change strategy as if their current way of doing things was on fire.

Tetris Helps My Stress and Anxiety Fall Away


Until last winter, I hadn't played video games since my parents let me combine allowance and birthday money to buy an original Nintendo Entertainment System, the old 8-bit home video game console with two buttons and a gray flip-top lid. Back then, I could take or leave Mario and his green-trousered brother, but I would have traded my allowance for uninterrupted time to lose myself in Tetris. The premise of the game was simple: arrange geometric pieces known as Tetriminos as they descend onto the screen. Always build with Tetris, the point-maximizing simultaneous clearance of four lines at once, in mind. Lying in bed at night, I used to stare at the dark shapes in my bedroom, mentally nudging a dresser or nightstand left or right to fit, Tetris-style, with adjacent shapes.

"The Meaning Of Life, But It's In Estonian": Leading In The Age Of AI


SHANGHAI, CHINA - JUNE 18: Cutting edge applications of Artificial Intelligence are seen on display ... [ ] at the Artificial Intelligence Pavilion of Zhangjiang Future Park during a state organized media tour on June 18, 2021 in Shanghai, China. Choosing well requires understanding your options – and the advice you're given about which one to pick. But in the world that's coming, AI will help leaders make choices. They might even make choices for them. What does that mean for leaders?