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As IEEE Spectrum editors, we delight ourselves on recognizing promising applied sciences and following them from the analysis part by means of growth and in the end deployment. In each January difficulty, we deal with the applied sciences that at the moment are poised to attain vital milestones within the new yr.
This difficulty was curated by Senior Editor Samuel K. Moore, our in-house professional on semiconductors. So it’s no shock that he included a narrative on Intel’s plan to roll out two momentous chip applied sciences within the subsequent few months.
For “Intel Hopes to Leapfrog Its Competitors,” Moore directed our editorial intern, Gwendolyn Rak, to report on the danger the chip large is taking by introducing two applied sciences without delay. We started monitoring the primary expertise, nanosheet transistors, in 2017. By the point we gave all the main points in a 2019 feature article, it was clear that this gadget was destined to be the successor to the FinFET. Moore first spotted the second expertise, back-side power delivery, on the IEEE Worldwide Electron Units Assembly in 2019. Lower than two years later, Intel publicly committed to incorporating the tech in 2024.
Talking of dedication, the U.S. army’s Protection Superior Analysis Tasks Company has performed an infinite half in bankrolling a few of the basic advances that seem in these pages. A lot of our readers will likely be accustomed to the robots that Senior Editor Evan Ackerman covered during DARPA’s humanoid challenge virtually 10 years in the past. These robots had been primarily analysis initiatives, however as Ackerman reviews in “Year of the Humanoid,” a number of firms will begin up pilot initiatives in 2024 to see if this technology of humanoids is able to roll up its metaphorical sleeves and get right down to enterprise.
Extra not too long ago, absolutely homomorphic encryption (FHE) has burst onto the scene. Moore, who’s been protecting the Cambrian explosion in chip architectures for AI and different various computing modalities because the mid-teens, notes that, just like the robotics problem, DARPA was the preliminary driver.
“You’d count on the three firms DARPA funded to give you a chip, although there was no assure they’d commercialize it,” says Moore, who wrote “Chips to Compute With Encrypted Data Are Coming.” “However what you wouldn’t count on is three extra startups, independently of DARPA, to come back out with their very own FHE chips on the identical time.”
Senior Editor Tekla S. Perry’s story about phosphorescent OLEDs, “A Behind-the-Screens Change for OLED,” is definitely a deep reduce for us. One of many first characteristic articles Moore edited at Spectrum approach again in 2000 was Stephen Forrest’s article on organic electronics. His lab developed the primary phosphorescent OLED supplies, that are vastly extra environment friendly than the fluorescent ones. Forrest’s analysis led to the founding of Common Show Corp., which, after greater than 20 years, is lastly about to commercialize the final of its trio of phosphorescent colours—blue.
Then there’s our cowl story about deepfakes and their potential impression on dozens of nationwide elections later this yr. We’ve been monitoring the rise of deepfakes since mid-2018, once we ran a narrative about AI researchers betting on whether or not or not a deepfake video about a politician would obtain greater than 2 million views through the U.S. midterm elections that yr. As Senior Editor Eliza Strickland reviews in “This Election Year, Look for Content Credentials,” a number of firms and trade teams are working laborious to make sure that deepfakes don’t take down democracy.
Greatest needs for a wholesome and affluent new yr, and revel in this yr’s expertise forecast. It’s been years within the making.
This text seems within the January 2024 print difficulty.
This put up was corrected on 2 January. Stephen Forrest was concerned within the creation of Common Show, however he was not a cofounder.
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