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It was the end of 2008, October, right before the holiday shopping season. Talk-show host Oprah Winfrey released her highly anticipated Favorite Things list, with the Amazon Kindle topping the gadget category. • This is the moment that the concept of electronic paper, or e-paper, went mainstream. • But this black-and-white, reflective display that always appeared to be on was invented well before the Amazon Kindle made it famous. Its story began a decade earlier, in 1997, at the MIT Media Lab, when it was created by two students, J.D. Albert and Barrett Comiskey, who were inspired by their professor Joseph Jacobson. [ABSTRACT FROM AUTHOR]

Bad things happen when demand outstrips supply. We learned that lesson too well at the start of the pandemic, when demand for toilet paper, disinfecting wipes, masks, and ventilators outstripped the available supply. Today, chip shortages continue to disrupt the consumer electronics, automobile, and other sectors. Clearly, balancing the supply and demand of goods is critical for a stable, normal, functional society. [ABSTRACT FROM AUTHOR]

Deep learning is now being used to translate between languages, predict how proteins fold, analyze medical scans, and play games as complex as Go, to name just a few applications of a technique that is now becoming pervasive. Success in those and other realms has brought this machine-learning technique from obscurity in the early 2000s to dominance today. • Although deep learning's rise to fame is relatively recent, its origins are not. In 1958, back when mainframe computers filled rooms and ran on vacuum tubes, knowledge of the interconnections between neurons in the brain inspired Frank Rosenblatt at Cornell to design the first artificial neural network, which he presciently described as a “pattern-recognizing device.” But Rosenblatt's ambitions outpaced the capabilities of his era—and he knew it. Even his inaugural paper was forced to acknowledge the voracious appetite of neural networks for computational power, bemoaning that “as the number of connections in the network increases…the burden on a conventional digital computer soon becomes excessive.” • Fortunately for such artificial neural networks—later rechristened “deep learning” when they included extra layers of neurons—decades of Moore's Law and other improvements in computer hardware yielded a roughly 10-million-fold increase in the number of computations that a computer could do in a second. So when researchers returned to deep learning in the late 2000s, they wielded tools equal to the challenge. [ABSTRACT FROM AUTHOR]

In 1960, Science published a paper by Heinz von Foerster predicting that on Friday, 13 November 2026, the “human population will approach infinity if it grows as it has grown in the last two millennia.” Just a few years after this preposterous doomsday alarm, the annual growth of global population peaked at about 2.1 percent and immediately began to decline. By 2020 the growth rate stood at just a bit more than 1 percent, the result of the steadily declining total fertility rate (TFR), the number of children born to a woman during her reproductive period. [ABSTRACT FROM AUTHOR]

The article provides information related to the functionality of robotic actuators, and mention the paper on "Harnessing Cascading Dominoes for Peristaltic Wave Motion" by Yichao Shi, Zhimin Jiang, and Pikul published in IEEE Robotics and Automation Letters.

Describes the above-named upcoming conference event. May include topics to be covered or calls for papers. [ABSTRACT FROM AUTHOR]

On 12 August 1981, at the Waldorf Astoria Hotel in midtown Manhattan, IBM unveiled its entrant into the nascent personal computer market: the IBM PC. With that, the preeminent U.S. computer maker launched another revolution in computing. Soon the world began embracing little computers by the millions, with IBM dominating those sales. Other companies, including Apple and Tandy Corp., were already making personal computers, but no other machine carried the revered IBM name. IBM's essential contributions were to position the technology as suitable for wide use and to set a technical standard. Rivals were compelled to meet a demand that they had all grossly underestimated. As such, IBM had a greater impact on the personal computer's acceptance than did Apple, Compaq, Dell, and even Microsoft. And yet IBM's lead in this new market would last only a few years, and the eclipse of the IBM PC came to mirror the decline of Big Blue. [ABSTRACT FROM AUTHOR]