The first article in this series was on how the success of ChatGPT indicates personal AI assistants are the next wave. This part discusses the difficulties of making a PAI assistant, means to overcome these obstacles, and why self-driving carmakers must jump on the PAI bandwagon.

Seldom in the swiftly evolving tech world does one get to say: ‘I told you so.’ With Dall-E, LaMDA, ChatGPT-type AI systems in 2022, The Yuan contributor Satyen K. Bordoloi says just that as - in a three-part series - he outlines how AI personal assistants will storm and transform the world, leading to the next trillion-dollar business.

The USA spends trillions of dollars a year on healthcare paperwork. Automated solutions made possible by ML and AI not only mean much of this money can be saved, but also makes largescale adoption of AI more likely before highly regulated medical AI reaches critical mass, finds Satyen K. Bordoloi.

Medical AI is revolutionizing global healthcare, even reengineering human genes, but it cannot do so without data. This generation’s data may be the last to record ‘pure’ medical data, which will be tainted by humans with altered genes in future, so today's will be priceless for posterity, says Satyen K. Bordoloi as he marks the 110th anniversary of Alan Turing’s birth to push for open access.

The tech breakthroughs needed to make a fully functioning autonomous vehicle render it among the hardest problems in artificial intelligence. China’s lead in granting licenses to fully driverless robot taxis is a step in the right direction and will benefit the world, thanks to the attendant tech that will emerge from it, writes Satyen K. Bordoloi.

The needless gendering of AI caused by humans anthropomorphizing everything is both a threat and a small opportunity, says Satyen K. Bordoloi as he explores the bizarre phenomenon of making AI applications male or female and delves into its root causes, from bad data to AI’s depiction on the silver screen.

Talking machines are not simply good for films, they can save millions of lives argues Satyen K. Bordoloi, recounting both the history and, more importantly, the future of cognitive computing.

Pioneer, visionary and technical wizard are just three of the many things said about Apple Inc. co-founder Steve Jobs. Unfortunately, his death a decade ago left a gaping hole in technological advancement and robbed us of his genius, especially in the artificial intelligence domain. Satyen K. Bordoloi takes us on a ‘What If?’ tour and discusses how AI could have evolved had Jobs still been with us today and what the industry can still learn from such speculation.

Facebook founder Mark Zuckerberg is betting big on metaverse in the hopes of riding the next technological wave. But is augmented reality the indispensable future he hopes it will be, or will the future’s large corporations crack the personal artificial intelligence assistant code - a super-app that will make life easier and more productive for everyone on the planet - before he does?

On the 10th anniversary of artificial intelligence’s first successful applications, Satyen K. Bordoloi trawls through the history of computing and AI, explains the resistance to the technology in the past, and predicts that every company once hostile to AI will have embraced it in the next few years.

Satyen K. Bordoloi examines the conceptions and misconceptions of the Middle East and North Africa regions to reveal how they have funded global artificial developments over the past decade, and how a growing AI ecosystem could change the region for the better, despite constraints.

"WHO is late to the party with AI in healthcare. But Satyen goes cover to cover with their report for The Yuan and despite its misses, comes out impressed wishing anyone with anything to do with Artificial Intelligence to read it. He urges WHO to update and expand it regularly & to use it as a springboard to guide the inevitable i.e. mass deployment of AI in medicine and healthcare."

After much delay WHO finally joins the Medical AI debate with a seminal report 'Ethics and Governance of Artificial Intelligence for Health'. The document is a must-read for anyone dealing with AI. Despite its brilliance, does it go far enough? Bordoloi reads it cover to cover and examines its strengths and more importantly, crucial weaknesses.

Poor nations cannot fund Medical AI companies but, what they lack in finances, they more than make up for in a good range and quantity of data. If data are the new oil, then the potential poor nations offer for learning about human diseases and biology is unadulterated gold.