Breakthroughs, discoveries, and DIY tips sent every weekday. For some adventurers, scaling Mount Everest represents the ultimate test of grit and determination: a visual signifier of humanity's epic struggle to overcome the elements. For others, the peak can seem more like a really tall trash can. Every year, around 600 climbers make the trek from the mountain's base camp to the summit. During their time on Everest, each person produces an estimated 18 pounds of waste, most of which is left behind.

Would seminal Beatles classic Abbey Road have been so memorable if it had been called Everest - and featured George Harrison smoking a cigarette in front of a snow-covered volcano on the cover instead of the Fab Four crossing the street in London? That is one of several questions posed by digital experts today - who have re-imagined how some of the world's most iconic album covers might have looked if they had been released under their original working titles. The study, from digital agency WMG, has used image generation technology instead of the names by which they are now known the world over. An AI bot has predicted what iconic album covers might have looked like if world-famous artists including The Beatles and Queen had plumped for the original record names. Queen's studio album The Miracle was released in 1989 and was named after a song included on the album tracklist Using the working titles of some of music's most legendary albums, SEO and digital marketing experts WMG used AI tool Midjourney to visualise what their covers could have looked like.

As Rajan prepares for his second attempt to climb Mount Everest and wears his Oculus VR 108.1, he feels better prepared this time compared to his first climb two years ago. Having paid $20K to repair and upgrade his avatar from previous damages, he also had acquired the state of the art virtual gear recommended by the best AI Trainer available in the market -- The Nimbus 314 which he hired for $50K. With 80% of his biannual earnings invested in this attempt, Rajan feels he has left no stone unturned this time and he is all set to be the Everest climber 209,441 in the Metaverse 005 and will have rightfully earned the right to his first Everest summit peak flag NFT(whose current market value was going at $149K). However, as he rests in his rented NFT tent in the Everest Base camp, looking through his VR lens, he remembers his first failed attempt. It was the year 3008, and he had completed two years at his lucrative job as an AI Model for a top tech company specializing in building state-of-the-art AI avatars for humans and owner of one of the 5 most popular metaverses. As an employee, he was eligible for a 50% discount for his first avatar purchase which he utilized immediately by going for 14Trekker 89.0 avatar as he wanted to be an avid virtual trekker like his parents.

The modern world runs on software. However, there is a catch: computer code often contains programming errors--some small, some large. These glitches can lead to unexpected results--and systematic failures. "In many cases, software flaws don't make any difference. In other cases, they can cause massive problems," says Kathleen Fisher, professor and chair of the computer science department at Tufts University and a former official of the U.S. Defense Advanced Research Projects Agency (DARPA).

While most of China was quarantined and Mount Everest was closed to climbers due to COVID-19, a herd of nearly 50 yaks made their way up the snowy north slopes of the world's highest mountain in temperatures that dipped below zero degrees Fahrenheit. On their backs were loads of equipment--metal beams, cables, and solar panels strapped down with cord--that would be used to build 5G antennas on rocky moraines scattered across the mountainside. Chinese tech giant Huawei and state-owned network provider China Mobile teamed up for this project to bring the latest in wireless data to Everest, which previously had very little cell coverage above base camp. Now, data speeds in the "death zone" on Everest, where the altitude is too high and the air is too thin to support life, are faster than in most American neighborhoods. In a press release, Huawei stated that the new super-fast data speeds on Everest will be used for "smart tourism"--with high-definition video streaming and virtual reality experiences for digital tourists to "visit" Everest from anywhere in the world.

The architecture of this package has been designed by Xavier Glorot (https://github.com/glorotxa), Update (Nov 13): the code for Translating Embeddings (see https://everest.hds.utc.fr/doku.php?id en:transe) has been included along with a new version for Freebase (FB15k). You need to install Theano to use those scripts. It also requires: Python 2.4, Numpy 1.5.0, The experiment scripts are compatible with Jobman but this library is not mandatory.

Moore's Law, the principle that chips are supposed to get smaller and faster every few years, is faltering. But one company, Xilinx, thinks that's actually good news for a new type of flexible processors it expects to sell next year. You've heard of Intel, Apple and Samsung, some of the biggest chipmakers around. But you probably don't know Xilinx unless you're building things like high-end network equipment or self-driving cars. Xilinx's new chief executive, Victor Peng, hopes to change that.

As engineers and technologists, we should always be mindful that there are consequences to our work. It is fundamental to the design of a product that its use and potential be understood, even before you create it. Since AI is relatively new to all of us, we have to be especially diligent; there is not a lot of history demonstrating the different ways AI tools can or should be used. AI opens up whole new fields of potential value, such as doctors being able to use it to improve their cancer treatment decisions. But with that comes uncertainty about unexpected consequences that could be introduced.

As engineers and technologists, we should always be mindful that there are consequences to our work. It is fundamental to the design of a product that its use and potential be understood, even before you create it. Since AI is relatively new to all of us, we have to be especially diligent; there is not a lot of history demonstrating the different ways AI tools can or should be used. AI opens up whole new fields of potential value, such as doctors being able to use it to improve their cancer treatment decisions. But with that comes uncertainty about unexpected consequences that could be introduced.

Artificial intelligence is not a new concept. The underpinnings of AI have been kicked around, at times inadvertently, by an amazing series of mankind's most famous philosophers and thinkers, mathematicians and computer scientists, theoreticians and psychologists. AI has, in its own peculiar DNA, a neural network of the greatest thoughts and minds of humankind. Consider this star-runged ladder of human thought: Aristotle bestowed us logic and reason. Descartes declared "I think, therefore I am," proposing a duality of mind and body.