The use of computer algorithms to differentiate patterns from noise in data is now commonplace due to advances in artificial intelligence (AI) research, open-source software such as scikit-learn, and large numbers of talented data scientists streaming into the field. There is no question that competency in computer science, statistics, and information technology can lead to a successful AI project with useful outcomes. However, there is a missing piece from this recipe for success which has important implications in some domains. It’s not enough to teach humans to think like AI. We need to teach AI to understand the value of humans.
As we roll through 2022, it’s time for our annual ritual of synthesizing the lessons from recent history and formulating the outlook for the near term. The past year has been action-packed for spatial computing as the world gradually emerges from the grips of a pandemic.
The past year was also marked by the emergence of metaverse mania. Though it has legitimate principles and promise, the term has been ambiguated through overuse. It’s also been overhyped in terms of the timing of its arrival. A fully-actualized metaverse is decades away.
Sandbox AQ, a new spinoff from Alphabet (Google), is looking to use AI and quantum technologies to solve today's problems in cybersecurity, sensing, and communications.
🌙 NASA - Best Photo from Last Week NASA’s Exoplanet Superheroes
A superhero team of space telescopes has been working tirelessly to discover exoplanets and unveil their secrets. Now, a new superhero joins the team—the James Webb Space Telescope. What will it find? Over the past few decades, a team of now legendary space telescopes has been on a mission of exploration. Hubble, Chandra, Spitzer, Kepler, TESS and now, the Webb telescope all have powers to discover exoplanets or to tell us more about them. Many of their “super powers,” of course, go far beyond detecting exoplanets. Hubble can look deep into the cosmic past, seeing light from the early universe and some of the most distant stars and galaxies ever observed. The Chandra X-ray Observatory, like Hubble one of NASA’s “Great Observatories,” examines the universe in X-rays. That has allowed it to peer into the tatters of exploded stars and the edges of our galaxy’s central, supermassive black hole. Another Great Observatory, the Spitzer Space Telescope, viewed the cosmos in infrared light, observing structural details of disks around stars and the faint glow of distant galaxies. Kepler and TESS, meanwhile, took on exoplanets as their main mission, both employing the transit method – searching for tiny dips in starlight as a planet crosses, or “transits,” the face of its star. TESS is still looking for new worlds! Each telescope can reveal something different when studying the same planet. The James Webb Space Telescope will give us a closer look at exoplanets, and will be able to tell us something new.
Disclaimer: None of the content in this newsletter is meant to be financial advice. Please do your own due diligence before taking any action related to content within this article.
Disclaimer: Unbound is reader-supported. When you buy through links on our site, we may earn an affiliate commission.
Dive into the crucial role of heuristics in advancing AI systems. Learn how these simple, rule-of-thumb strategies are pivotal for creating smarter, more efficient AI that can solve complex problems with greater agility and precision. Unlock AI's potential today.
This article explores the rise of the social-purpose economy, an innovative student-designed Mars rover from Hawaiʻi, Discord's game bots and the eclipse.
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By Jason H. Moore | ExtremeTech
The use of computer algorithms to differentiate patterns from noise in data is now commonplace due to advances in artificial intelligence (AI) research, open-source software such as scikit-learn, and large numbers of talented data scientists streaming into the field. There is no question that competency in computer science, statistics, and information technology can lead to a successful AI project with useful outcomes. However, there is a missing piece from this recipe for success which has important implications in some domains. It’s not enough to teach humans to think like AI. We need to teach AI to understand the value of humans.
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by Mike Boland | AR Insider
As we roll through 2022, it’s time for our annual ritual of synthesizing the lessons from recent history and formulating the outlook for the near term. The past year has been action-packed for spatial computing as the world gradually emerges from the grips of a pandemic.
The past year was also marked by the emergence of metaverse mania. Though it has legitimate principles and promise, the term has been ambiguated through overuse. It’s also been overhyped in terms of the timing of its arrival. A fully-actualized metaverse is decades away.
3 Min Read →
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Sandbox AQ, a new spinoff from Alphabet (Google), is looking to use AI and quantum technologies to solve today's problems in cybersecurity, sensing, and communications.
3 Min Read →
🌙 NASA - Best Photo from Last Week
NASA’s Exoplanet Superheroes
A superhero team of space telescopes has been working tirelessly to discover exoplanets and unveil their secrets. Now, a new superhero joins the team—the James Webb Space Telescope. What will it find? Over the past few decades, a team of now legendary space telescopes has been on a mission of exploration. Hubble, Chandra, Spitzer, Kepler, TESS and now, the Webb telescope all have powers to discover exoplanets or to tell us more about them. Many of their “super powers,” of course, go far beyond detecting exoplanets. Hubble can look deep into the cosmic past, seeing light from the early universe and some of the most distant stars and galaxies ever observed. The Chandra X-ray Observatory, like Hubble one of NASA’s “Great Observatories,” examines the universe in X-rays. That has allowed it to peer into the tatters of exploded stars and the edges of our galaxy’s central, supermassive black hole. Another Great Observatory, the Spitzer Space Telescope, viewed the cosmos in infrared light, observing structural details of disks around stars and the faint glow of distant galaxies. Kepler and TESS, meanwhile, took on exoplanets as their main mission, both employing the transit method – searching for tiny dips in starlight as a planet crosses, or “transits,” the face of its star. TESS is still looking for new worlds! Each telescope can reveal something different when studying the same planet. The James Webb Space Telescope will give us a closer look at exoplanets, and will be able to tell us something new.
Credit: NASA/JPL-Caltech
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Disclaimer: None of the content in this newsletter is meant to be financial advice. Please do your own due diligence before taking any action related to content within this article.
Disclaimer: Unbound is reader-supported. When you buy through links on our site, we may earn an affiliate commission.
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