As AI drives layoffs at companies like Lufthansa Airlines and JPMorgan Chase, workers can navigate career transitions by identifying their transferable Working Genius skills.

Has AI made Creativity a Thing of the Past? Recently, there has been an avalanche of interest in generative AI: programs that can produce text, speech, images, designs, music, and even computer code in an uncanny resemblance to human creations. AI systems, such as GPT-3, which mostly produces text, but can also produce images and computer code, or Dall-E, Stable Diffusion, or Midjourney, which produce images, are the tip of the iceberg in an expanding field that is attracting millions of users and billions of dollars in investments. The outputs of these systems can rival the quality of human products and work faster and cheaper than human writers, artists, and composers. Industries such as animated images for television and film are choosing AI artists over human ones to save time and money.

Since people invented writing, communications technology has become steadily more high-bandwidth, pervasive and persuasive, taking a commensurate toll on human attention and cognition. In that bandwidth war between machines and humans, the machines' latest weapon is a class of statistical algorithm dubbed "deep AI." This computational engine already, at a stroke, conquered both humankind's most cherished mind-game (Go) and our unconscious spending decisions (online). This month, finally, we can read how it happened, and clearly enough to do something. But I'm not just writing a book review, because the interaction of math with brains has been my career and my passion. Plus, I know the author. So, after praising the book, I append an intellectual digest, debunking the hype in favor of undisputed mathematical principles governing both machine and biological information-processing systems. That makes this article unique but long. "Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World" is the first book to chronicle the rise of savant-like artificial intelligence (AI), and the last we'll ever need. Investigative journalist Cade Metz lays out the history and the math through the machines' human inventors. The title, "Genius Makers," refers both to the genius-like brilliance of the human makers of AI, as well as to the genius-like brilliance of the AI programs they create. Of all possible AIs, the particular flavor in the book is a class of data-digestion algorithms called deep learning. Metz's book is a ripping good read, paced like a page-turner prodding a reader to discover which of the many genius AI creators will outflank or outthink the others, and how. Together, in collaboration and competition, the computer scientists Metz portrays are inventing and deploying the fastest and most human-impacting revolution in technology to date, the apparently inexorable replacement of human sensation and choice by machine sensation and choice. This is the story of the people designing the bots that do so many things better than us.

By the time Aelita Andre turned three, she had more art-world accolades than many professional artists. She started painting at nine months old, and galleries were showing her work when she was just two. Now 14 years old, the Australian abstract artist is still going strong; she just closed her most recent solo show in South Korea this month. Most children are innately creative and curious. But some are obsessively so and as adults end up transforming their field--or the world.

But then there was the Chinese game of go (pictured), estimated to be 4000 years old, which offers more "degrees of freedom" (possible moves, strategy, and rules) than chess (2 10170). As futurist George Gilder tells us, in Gaming AI, it was a rite of passage for aspiring intellects in Asia: "Go began as a rigorous rite of passage for Chinese gentlemen and diplomats, testing their intellectual skills and strategic prowess. Later, crossing the Sea of Japan, Go enthralled the Shogunate, which brought it into the Japanese Imperial Court and made it a national cult." Then AlphaGo, from Google's DeepMind, appeared on the scene in 2016: As the Chinese American titan Kai-Fu Lee explains in his bestseller AI Super-powers,8 the riveting encounter between man and machine across the Go board had a powerful effect on Asian youth. Though mostly unnoticed in the United States, AlphaGo's 2016 defeat of Lee Sedol was avidly watched by 280 million Chinese, and Sedol's loss was a shattering experience. The Chinese saw DeepMind as an alien system defeating an Asian man in the epitome of an Asian game.

Ready-to-use OCR with 70 languages supported including Chinese, Japanese, Korean and Thai. We are currently supporting 70 languages. See list of supported languages. Note 1: for Windows, please install torch and torchvision first by following the official instruction here https://pytorch.org. On pytorch website, be sure to select the right CUDA version you have.

Once you're called a "genius," what's left? No, getting called a "genius" is the final accolade, the last laudatory label for anyone. At least that's how several members of Mensa, an organization of those who've scored in the 98th percentile on an IQ test, see it. "I don't look at myself as a genius," LaRae Bakerink, a business consultant and a Mensa member, said. "I think that's because I see things other people have done, things they have created, discovered, or invented, and I look at those people in awe, because that's not a capability I have."

People too often forget that IQ tests haven't been around that long. Indeed, such psychological measures are only about a century old. Early versions appeared in France with the work of Alfred Binet and Theodore Simon in 1905. However, these tests didn't become associated with genius until the measure moved from the Sorbonne in Paris to Stanford University in Northern California. There Professor Lewis M. Terman had it translated from French into English, and then standardized on sufficient numbers of children, to create what became known as the Stanford-Binet Intelligence Scale. The original motive behind these tests was to get a diagnostic to select children at the lower ends of the intelligence scale who might need special education to keep up with the school curriculum. But then Terman got a brilliant idea: Why not study a large sample of children who score at the top end of the scale?

Unlike recipients James P. Allison and Tasuku Honjo, most of us are unlikely to accept such an award in Stockholm. Neither are our beloved pet dogs, even though owners will swear their four-legged companions are geniuses. Sure, dogs are smart--at least when it comes to working with humans. But pigs, for instance, are smarter than you think. That's the contention of a new paper out today in the journal Learning & Behavior, which asks, "in what sense are dogs special?"

All analytics were done with databases. All data were stored in databases. It was a well-known anti-pattern to store data worthy of a database in a flat file. Google did not like databases. Maybe they tried it, and it did not work.