This article was featured in the One Story to Read Today newsletter. Every day or two for the past seven months, I've received a "personalized" email containing a bunch of recent, user-generated questions from the website Quora. "I caught my son playing his Xbox at 12:00 in the morning on a school night. As a result, I broke his console and now he won't talk to me. How can I tell him that it is his fault?"

By now, it's probably clear to most people that artificial intelligence is going to have a fairly large impact on our lives. A few years ago, you might have been forgiven for wondering whether it was just another fad. But recent advances – such as the emergence of generative AI tools like ChatGPT – have left most of us in no doubt that we're witnessing the dawn of a new era. An era that's likely to see our lives change just as dramatically as we saw with the arrival of personal computers, the internet, or smartphones. Perhaps even more so – Google CEO Sundar Pichai famously stated back in 2016 that it would have a bigger impact than fire or electricity.

Thank you for reading my latest article Beyond The Hype: What You Really Need To Know About AI In 2023. Here at LinkedIn and at Forbes I regularly write about management and technology trends. To read my future articles simply join my network here or click'Follow'. Also feel free to connect with me via Twitter, Facebook, Instagram, Slideshare or YouTube. By now, it's probably clear to most people that artificial intelligence is going to have a fairly large impact on our lives.

But no amount of amateur water drumming arranged in GarageBand could be even half as weird--and fun--as some of the music that AI can make these days. Welcome back to Science, Quickly.

By now, it's probably clear to most people that artificial intelligence is going to have a fairly large impact on our lives. A few years ago, you might have been forgiven for wondering whether it was just another fad. But recent advances – such as the emergence of generative AI tools like ChatGPT – have left most of us in no doubt that we're witnessing the dawn of a new era. An era that's likely to see our lives change just as dramatically as we saw with the arrival of personal computers, the internet, or smartphones. Perhaps even more so – Google CEO Sundar Pichai famously stated back in 2016 that it would have a bigger impact than fire or electricity.

I've yet to walk the entire floor at Mobile World Congress in Barcelona this year (that's the goal for this afternoon), but my sense is the majority of the robots present fit into one of two categories: robot vacuums or greeter robots. The two Xiaomi robots -- CyberOne and CyberDog -- may well have been the most prominent of the show, and neither were especially inspiring. It was fun finally seeing the Cyber One in person after writing about it seven months ago. The humanoid robot's stilted locomotion screamed "research prototype" in the first demo, and I'm plenty wary about phone makers getting "serious" about robotics. There was no demo in the booth this year, rendering it more of an expensive mechanical mannequin. CyberDog was moving, at least.

We've been hearing so much about the amazing future of autonomous and self-driving cars for several years. And while I do believe the future will be filled with a wide variety of self-driving technologies that today we only see today in sci-fi movies, getting to that place is a long and sticky process. So, where are we now? Today, we fool ourselves into thinking that we are there. Consider the Tesla driver who trusts the car to ferry them around in the city or on the highway without paying attention to the roads themselves or keeping their hands on the steering wheel.

Become part of a very successful Medtech startup that has operated for over 5 years and is on its way to skyrocket in the field of analyzing human psychology and developing an AI engine that helps psychologists to make better diagnoses. Starting in gaming, optimized for human potential and health:…

Bill Smart, Professor of Mechanical Engineering and Robotics at Oregon State University, helped start competitions as part of ICRA. In this episode, Bill dives into the high-level decisions involved with creating a meaningful competition. The conversation explores how competitions are there to showcase research, potential ideas for future competitions, the exciting phase of robotics we are currently in, and the intersection of robotics, ethics, and law. Dr. Smart does research in the areas of robotics and machine learning. In robotics, Smart is particularly interested in improving the interactions between people and robots; enabling robots to be self-sufficient for weeks and months at a time; and determining how they can be used as personal assistants for people with severe motor disabilities.

A recent survey of over 225 enterprise Data Scientists, AI technologists and business stakeholders involved in active AI and machine learning (ML) projects, suggests that for most organizations, it's still early days for AI technology. The AI market is projected to become a $190 billion industry by 2025 ( according to Markets and Markets), and global spending on cognitive and AI systems is expected to reach $35.8 billion in 2029, an increase of 44.0% over the amount spent in 2018 (according to IDC). This research suggests AI is advanced and on the move, already being undertaken by large enterprises and ready to make an impact on how we live and work. But it is still early days for AI when it comes to the implementation of AI in organisations and there are reasons for that. An AI system requires meticulous training before it can perform its intended function. When that function involves something as complex as making human-like judgments about images or videos – "seeing," in other words – the system must be exposed to enormous volumes of accurately labeled and annotated training data.