“There [are] two types of companies in the world: Those who are great at AI and everybody else,” Mark Cuban said.
Category: robotics/AI – Page 842
Researchers led by the University of California San Diego have developed a new model that trains four-legged robots to see more clearly in 3D. The advance enabled a robot to autonomously cross challenging terrain with ease—including stairs, rocky ground and gap-filled paths—while clearing obstacles in its way.
The researchers will present their work at the 2023 Conference on Computer Vision and Pattern Recognition (CVPR), which will take place from June 18 to 22 in Vancouver, Canada.
“By providing the robot with a better understanding of its surroundings in 3D, it can be deployed in more complex environments in the real world,” said study senior author Xiaolong Wang, a professor of electrical and computer engineering at the UC San Diego Jacobs School of Engineering.
So I commented on an IKEA story about them using employees to assist in interior design. I commented, “Can they use AI”, of course knowing people can. AI can augment a regular homeowner into an interior designer.
Here is a list of some helpful AI interior design tools for homeowners who would like to avoid interior designers and decorate their homes on their own.
Home owners, nowadays, spend a sizeable amount of their savings on decorating their homes. Nevertheless, many of them remain averse to hiring interior decorators, as they believe it to be a costly affair. Hence, they take things into their own hands, when it comes to deciding the design of their dream abodes. Today, there are many Artificial Intelligence (AI)-powered interior design apps and software that can help the home owners with the interior designing job. Moreover, home owners do not need to be tech-savvy to use these tools.
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The skies above where I reside near New York City were noticeably apocalyptic last week. But to some in Silicon Valley, the fact that we wimpy East Coasters were dealing with a sepia hue and a scent profile that mixed cigar bar, campfire and old-school happy hour was nothing to worry about. After all, it is AI, not climate change, that appears to be top of mind to this cohort, who believe future superintelligence is either going to kill us all, save us all, or almost kill us all if we don’t save ourselves first.
Whether they predict the “existential risks” of runaway AGI that could lead to human “extinction” or foretell an AI-powered utopia, this group seems to have equally strong, fixed opinions (for now, anyway — perhaps they are “loosely held”) that easily tip into biblical prophet territory.
Google CEO Sundar Pichai told 60 Minutes the company’s founding motto includes more nuance, but still underpins its values.
Sam Harris is an American author, philosopher, neuroscientist, and podcast host.
His work touches on a wide range of topics, including rationality, religion, ethics, free will, neuroscience, meditation, philosophy of mind, politics, terrorism, and artificial intelligence.
His academic background is in philosophy and cognitive neuroscience.
Finally, stories born from paranoia teach you to see A.I. as the ultimate surveillance tool, watching your every eye moment and jiggle of your mouse. But what if it’s used instead to catch you doing things well, and to foster trust between managers and employees?
With the ability to compile reports of your accomplishments—or even assess their quality—A.I. can help managers better appreciate the output of their employees, rather than relying on quantified inputs, like time spent at your desk. It can watch out for deadlines and critical paths, automatically steering you toward the work that’s most urgent. And if you do fall behind on deadlines, A.I. can let your manager know: They don’t have to poke their nose in all the time just to catch the one time you fell behind. With A.I. helping everyone focus their attention to match intentions as they do their work, managers can instead spend their time investing in ways to support their team and grow individuals.
The way we work right now will soon look vestigial, a kind of social scaffolding in our journey to build something better. We know that A.I. will transform the future of work. Will the future edifices of our labor be austere, brutalist towers that callously process resources? Or will they be beautiful, intricate monuments to growth and thriving?
Artificial intelligence (AI) tech poses a challenge to ensuring the integrity of research, particularly PhD study, says University of Melbourne expert.
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Hexagon, a Nordic company focused on digital reality, is collaborating with Nvidia to enable industrial digital twins to capture data in real time.
Digital twins are digital replicas of designs such as factories or buildings in the real. The idea of the collaboration is to unite reality capture, manufacturing twins, AI, simulation and visualization to deliver real-time comparisons to real-world models.
Connecting artificial intelligence systems to the real world through robots and designing them using principles from evolution is the most likely way AI will gain human-like cognition, according to research from the University of Sheffield.
In a paper published in Science Robotics, Professor Tony Prescott and Dr. Stuart Wilson from the University’s Department of Computer Science, say that AI systems are unlikely to resemble real brain processing no matter how large their neural networks or the datasets used to train them might become, if they remain disembodied.
Current AI systems, such as ChatGPT, use large neural networks to solve difficult problems, such as generating intelligible written text. These networks teach AI to process data in a way that is inspired by the human brain and also learn from their mistakes in order to improve and become more accurate.