A recent study by Gartner indicates that by 2025 the 10% of enterprises that establish Machine Learning (ML) or Artificial Intelligence (AI) engineering best practices will generate at least three times more value from their AI and ML efforts than the 90% of enterprises that don't. With such a high value estimated to be derived only from the adoption of ML/AI practices, it is difficult to not agree that the future of enterprises rests heavily on AI and ML technologies with other digital technologies. The pandemic has unveiled a world that embraced technology at a pace that would have otherwise taken ages to evolve. Traditional practices that saw monolithic systems, lack of flexibility and manual processes were all blocking innovation. However, mass new-age technology acceptance induced by the pandemic has helped enterprises overcome these challenges.

In 1961, a young Clive Sinclair was developing and selling pocket calculators, digital wristwatches, and mail-order radio kits through his own company, Sinclair Radionics. In 1975, he founded the company that would become Sinclair Research and began development of the electronics he would best be known for. The Sinclair ZX80 personal computer debuted in 1980. True to his radio-building background, Sinclair marketed the computer in both kit form for £80 ($108) or preassembled for £100 ($135). It was one of the first computers available at that price point, especially compared to the likes of the Apple II Plus, released a year earlier for $1,195.

I want to start off with a quick question – can you recognize the two personalities in the below image? I'm certain you got one right. For most of us early age math enthusiasts, the movie "A Beautiful Mind" is inextricably embedded into our memory. Russell Crowe plays the role of John Nash in the movie, a Nobel prize winner for economics (and the person on the left-hand side above). Now, you would remember the iconic scene often regarded as: "Don't go after the blonde". "….the best outcome would come when everyone in the group is doing what's best for himself and the group."

In this special issue we are reprinting our top stories of the past year. This article first appeared on Nautilus in our "Universality" issue in April, 2021. It all started with an odd pile of shells: a pile that, upon closer inspection, fell apart like a flower losing its petals, introducing a burned-out nature documentarian named Craig Foster--and, in time, the world--to the octopus hiding cleverly inside. Known simply as "her," she would become the star of My Octopus Teacher, the Oscar-nominated Netflix documentary and surprise pandemic hit that told the story of Foster's unlikely relationship with that eight-armed mollusk. Released in September 2020, it arrived at the perfect moment. Audiences exhausted by lockdowns and unrelenting 2020-ness were primed for escape into the undersea fantasia of South Africa's kelp forests, where Foster met her. Best-selling books like The Soul of an Octopus and Other Minds: The Octopus, the Sea, and the Deep Origins of Consciousness had whetted public curiosity about these uncannily intelligent creatures with whom humans last shared a common ancestor 600 million years ago. Yet while most writing about octopuses emphasizes their ostensibly alien, unknowable nature,1 and serious, science-minded nature documentaries elevate concern about biodiversity over sentiment for a single animal, My Octopus Teacher defied convention. It embraced Foster's feelings for the octopus, which over the course of a year evolved from curiosity to care--even to love. And though her own feelings were left for viewers to interpret, the film's indelible impression was of nature populated by species who are not only beautiful and exquisitely evolved and ecologically important, but highly sentient, too.

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With the success of Peter Jackson's Get Back, the documentary streaming on Disney Plus, Beatlemania is back. Watching Paul McCartney create the eponymous song out of seemingly nothing, as George Harrison stands nearby yawning, is one of 2021's cinematic pleasures. The Beatles are arguably the most successful pop group in history and, in the years since their heyday, countless artists, producers and songwriters, not to mention record companies and now music streaming services, have tried to recreate the same magic. The latest tool for capturing elusive pop music gold is artificial intelligence. Usually when we think of artificial intelligence creating art, it's making something bizarre or unintentionally hilarious. Take Google's horrifying Deep Dream with its thousands of dog eyes, or Sunspring, a movie written by an AI that was fed hundreds of sci-fi scripts.

Ever wondered what would happen if we made an artificial intelligence programme question its own merits and demerits? Wonder no further, for scientists have made it happen. Since AI is built by humans and thrives on data fed to it by human calculations, the creators' bias has a tendency to seep into the programme, regardless of the intention. This is evident in how AI programmes recreate real inequalities in what is called "coded bias". This bias may stem from discrimination based on race, gender, etc. The "Megatron Transformer", built by the Applied Deep Research team at Nvidia was invited by the researchers to self-assess the merits of artificial intelligence.

Self-driving cars and autonomous driving research has been receiving considerable attention as major promising prospects in modern artificial intelligence applications. According to the evolution of advanced driver assistance system (ADAS), the design of self-driving vehicle and autonomous driving systems becomes complicated and safety-critical. In general, the intelligent system simultaneously and efficiently activates ADAS functions. Therefore, it is essential to consider reliable ADAS function coordination to control the driving system, safely. In order to deal with this issue, this paper proposes a randomized adversarial imitation learning (RAIL) algorithm. The RAIL is a novel derivative-free imitation learning method for autonomous driving with various ADAS functions coordination; and thus it imitates the operation of decision maker that controls autonomous driving with various ADAS functions. The proposed method is able to train the decision maker that deals with the LIDAR data and controls the autonomous driving in multi-lane complex highway environments. The simulation-based evaluation verifies that the proposed method achieves desired performance.

Entrepreneur, business magnate and billionaire Elon Musk believes Neuralink's sophisticated implantable brain-machine interfaces and not Mark Zuckerberg's VR-driven metaverse could soon put humans "fully into virtual reality." Neuralink co-founder Musk took a dig at Zuckerberg and other proponents of virtual reality and metaverse in an interview with the conservative and Christian satire site Babylon Tree on Tuesday. During the interview, the billionaire revealed his lack of support for the metaverse and Web3, two trends believed to radically change the tech world. For the Time Magazine's 2021 Person of the Year, his neurotechnology company, Neuralink, is more capable of providing a better environment for people to fully immerse in virtual reality. "In the long term, a sophisticated Neuralink could put you fully into virtual reality," Musk noted.

I'm guessing that using an artificial intelligence computer program to write part of a review may be a first in the 125-year history of the Book …