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) …
And why should we care if they do? SAPIENS host Jen Shannon meets Pepper the robot, and host Chip Colwell goes on a quest to find out how the robotics industry is (re)shaping intimacy in Japan. He speaks with anthropologists Jennifer Robertson, Daniel White, and Hirofumi Katsuno, all researchers who investigate the field of robotics, to learn more about what artificial emotion can teach us about what it means to be human. Our theme song and music for this episode are by Matthew Simonson. Special thanks to composer Scott Ampleford for use of the original score from 2026: Musik Inspired by Metropolis, which was featured in this episode.
The Chicago Cubs won the US Major League Baseball World Series title in 2016, its first win in 108 years. The LA Dodgers reached the 2017 World Series final, before losing in a game tainted by a cheating scandal. What the two teams shared in their dream runs was use of AI. Florida-based Kinatrax had high-speed cameras installed at strategic points on baseball grounds for synchronized motion-capture videos of pitchers. These were annotated, tagged and analysed to create the 3D anatomical models that fine-tuned pitching mechanics for each player.
Dublin start-up Ubotica has brought its AI technology into orbit aboard a next-gen ESA satellite. Dublin-based Ubotica Technologies has announced that its AI tech has gone into orbit aboard the Earth observation satellite PhiSat-1, which was launched along with 52 other satellites on a European Space Agency (ESA) Vega rocket yesterday (3 September). The satellite is part of a programme funded by ESA and supported by Enterprise Ireland, in which deep-learning technology for the in-orbit processing of Earth observation data is being deployed on a European satellite for the first time. Ubotica's CVAI technology, built on the Intel Movidius Myriad 2 vision processing unit, will allow the satellite to make its own decisions rather than relying on humans down on the planet's surface, resulting in faster, more efficient applications being deployed on the satellite. In this instance, Ubotica's AI tech is being tasked with automatic cloud detection on images captured by the satellite's advanced hyperspectral sensor.
Plug-and-play automation systems can be rapidly set up to meet sudden surges in demand -- and quickly reconfigured when needs change. Whether you turn to news outlets, tech magazines, or academic sources for insight, you're likely to hear that the COVID-19 pandemic is going to drive massive growth in automation, especially via robots.1 The arguments in favor of this view seem reasonable: Main Street might look dead, but companies that provide shippable goods have been facing double, triple, or even 10 times their previous demand. Robots, the thinking goes, should be able to reliably do that repetitive physical work when many workers aren't safely able or willing to set foot in the building. What's more, access to the technology is getting less expensive, with "robots as a service" models allowing companies to pay per touch rather than dipping into precious capital reserves.
In the last few years, there has been a dramatic shift, from industry to industry, capturing trends and successfully sustaining culture, as the world unlocked the digital age. Technology, with it, brought a global change which led to a transformation in business, society and lifestyle. This, despite as suggested by many, is not a product of the pandemic. COVID-19, however, fueled the process. We, as humans, are committed to a growth-driven society and with technology, we aim to succeed and prosper. Digitization might be going down as one of the biggest innovations in human, something that has caused us to reconsider how we interact and process.
Baidu's autonomous vehicle platform, Apollo, gets an upgrade. The Chinese IT firm, which started out ... [ ] as a Google imitator, is now going toe-to-toe with Google subsidiary Waymo, as well as Samsung and Intel. Baidu wants to one up Google on its AI powered car platform called Apollo. They might pull just pull it off. In any event, they at least have to be considered in the same league.
Python, the general-purpose coding language has gained much popularity over the years. Speaking of web development, app designing, scientific computing or machine learning, Python has it all. Due to this favourability of Python in the market, python developers are also in high demand. They are required to be competent and out of the box thinkers- undoubtedly a race to win. Are you one of those python developers?
You can find my code on my Github here. Here are the links to my previous posts on blackjack. I used a modified version of my old blackjack simulator (discussed in detail in the linked posts). One thing that perplexed me last year when I trained a neural net to play blackjack was why my neural net didn't do better when I provided card counting information to it. Doesn't card counting confer a significant advantage to the player?
Every person inherits some stock of intelligence. But without an investment strategy, intelligence will not carry dividends. Financial gurus ranging from Warren Buffet to Ray Dalio will tell you that the secret to investing is diversification. As a civilization, we take this advice to heart and to a whole other level: we diversify by inventing artificial intelligence that can assist, augment, or automate. Can we invent artificial intelligence ex nihilo, without peeking at human intelligence for inspiration?
Last month, Elon Musk's Neuralink demonstrated that it is possible to monitor brain activity from our phones. There were speculations around Neuralink of what potential it has for the future generations. Decoding brain signals has great implications in medicine. A disabled person can be assisted, can understand what a speechless person is feeling and more. So, can we know what someone is thinking?