Fears of AI sentience are a distraction
Instead of conjuring sci-fi horror stories, we need to embrace powerful computing like artificial intelligence to improve our lives.
‘I am, in fact, a person’: can artificial intelligence ever be sentient?
Controversy over Google’s AI program is raising questions about just how powerful it is. Is it even safe? By Amelia Tait
Why conversational AI needs to feel more human, not sound more human
Conversational AI at scale doesn’t require sci-fi packaging — even small brands can get it right. Brands should focus on technology that powers substantive interactions and authenticity over theatricality.
Identity crisis: Artificial intelligence and the flawed logic of ‘mind uploading’
It is theoretically feasible that through 'mind uploading,' simulated minds could coexist inside a rich simulation of physical reality.
How Does the Brain Decide in Chaos?
The brain uses data compression while making decisions. If you grew up in the 1980s or like playing old video games, you might be familiar with Frogger. The game can be quite difficult. To succeed, you must first make it through a busy traffic flow a
AI model recommends personalized fonts to improve digital reading, accessibility
A UCF readability researcher worked with an Adobe team on a machine learning model to provide personalized font recommendations that improve the accessibility of digital information and enhance individual reading experiences.
Jason Steer, Recorded Future: On building a ‘digital twin’ of global threats
Recorded Future combines over a decade (and counting) of global threat data with machine learning and human expertise to provide actionable insights to security analysts.
How synthetic data and AI analyze human movement
Can AI-driven fitness apps, developed with synthetic data, pump-up your workout?
Report: 76% of consumers would stop doing business with a company after just one bad customer experience
A customer experience study from Invoca shows that as inflation increases, so do expectations for great customer service.
Epilepsy: how an AI algorithm detects related brain abnormalities – new research
AI algorithm that detects brain abnormalities could help cure epilepsy.
Nearly 70% of Premier League footballers are abused on Twitter – we used an AI to sift through millions of tweets
One in 14 Premier League footballers receives online abuse every day.
Will strong and fast-switching artificial muscle be feasible?
A research team has developed a bifunctional polymer electrolyte with enhanced mechanical strength and ionic conductivity. The new technology can be applied to producing strong artificial muscles with fast switching speeds.
Why Airbus is betting on AI to fix pilot shortage, flight safety
Airbus, is developing autonomous flight and machine learning solutions for the next generation of aircraft.
How artificial intelligence could lower nuclear energy costs
Nuclear power plants provide large amounts of electricity without releasing planet-warming pollution. But the expense of running these plants has made it difficult for them to stay open. If nuclear is to play a role in the U.S. clean energy economy, costs must come down.
AI chatbots offer a way to connect with and engage customers
As your first level of customer engagement and support, AI chatbots provide an opportunity for responsiveness and efficient problem-solving.
Busting anti-queer bias in text prediction
Modern text prediction is far from perfect—take, for instance, when a search query suggests something completely different from your intention. But the trouble doesn't end at inaccuracy. Text prediction can also be extremely exclusive or biased when it comes to predicting results related to marginalized communities.
Opinion | Should Merrick Garland Reveal More About the Mar-a-Lago Search?
Readers discuss the Justice Department’s silence amid much speculation. Also: Democrats’ tactics; the robot therapist; family planning.
The daily grind of the rumor mill: Machine learning deciphers fake news
Research published in the International Journal of Cloud Computing looks at how machine learning might allow us to analyze the nature and characteristics of social media updates and detect which of those updates are adding grist to the rumor mill rather than being factual.