Harvard Medical School scientists and colleagues at Stanford University have developed an artificial intelligence diagnostic tool that can detect diseases on chest X-rays directly from natural-language descriptions contained in accompanying clinical reports.
The step is deemed a major advance in clinical AI design because most current AI models require laborious human annotation of vast reams of data before the labeled data are fed into the model to train it.
The technology, which has been tested in the lab, could ultimately be used for manufacturing and building in difficult-to-access or dangerous locations such as tall buildings or help with post-disaster relief construction, say the researchers.
3D printing is gaining momentum in the construction industry. Both on-site and in the factory, static and mobile robots print materials for use in construction projects, such as steel and concrete structures.
This new approach to 3D printing—led in its development by Imperial and Empa, the Swiss Federal Laboratories of Materials Science and Technology—uses flying robots, known as drones, that use collective building methods inspired by natural builders like bees and wasps who work together to create large, intricate structures.
Facebook’s parent company, Meta, is trying to use Artificial Intelligence to read Brainwaves. Smithsonian Magazine: https://www.smithsonianmag.com/smart-new…
The deadline is the end of September.
Elon Musk is getting ready to unveil his ‘Optimus’ humanoid robot, and an improved smart summon feature as a top priority in the run-up to Tesla’s AI Day 2 on September 30. The Tesla Bot, also known as Optimus, was among the concepts that the company unveiled during its inaugural AI day and is prepared for release, news reports across sections of media noted on Tuesday.
Both projects, according to the tech mogul, have a deadline at the end of the month.
“Autopilot/AI team is also working on Optimus and (actually smart) summon/autopark, which have end of month deadlines,” Musk wrote while responding to a Tesla fan club account on Twitter.
Tesla Inc/Handout/Reuters.
The Tesla Bot, also known as Optimus, was among the concepts that the company unveiled during its inaugural AI day and is prepared for release, news reports across sections of media noted on Tuesday.
The drones will help the construction industry in hard-to-reach and dangerous places.
Consider the drone bees. These bees, which probably gave their name to today’s drones, are also may have inspired by their physical features. Let’s learn how.
Researchers from Imperial College London and Empa have created a fleet of bee-inspired flying drone printers for 3D printing buildings.
Dr. Joscha Bach (MIT Media Lab and the Harvard Program for Evolutionary Dynamics) is an AI researcher who works and writes about cognitive architectures, mental representation, emotion, social modeling, and multi-agent systems.
He is founder of the MicroPsi project, in which virtual agents are constructed and used in a computer model to discover and describe the interactions of emotion, motivation, and cognition of situated agents.
Bach’s mission to build a model of the mind is the bedrock research in the creation of Strong AI, i.e. cognition on par with that of a human being. He is especially interested in the philosophy of AI and in the augmentation of the human mind.
July 25th, 2017
UNIVERSITY PARK, Pa.— A person’s distrust in humans predicts they will have more trust in artificial intelligence’s ability to moderate content online, according to a recently published study. The findings, the researchers say, have practical implications for both designers and users of AI tools in social media.
“We found a systematic pattern of individuals who have less trust in other humans showing greater trust in AI’s classification,” said S. Shyam Sundar, the James P. Jimirro Professor of Media Effects at Penn State. “Based on our analysis, this seems to be due to the users invoking the idea that machines are accurate, objective and free from ideological bias.”
The study, published in the journal of New Media & Society also found that “power users” who are experienced users of information technology, had the opposite tendency. They trusted the AI moderators less because they believe that machines lack the ability to detect nuances of human language.
Watch NVIDIA CEO Jensen Huang unveil the new Ada Lovelace GPU architecture, new advances to its computing platforms, and new cloud services to further the era of AI and the metaverse, and transform every industry.
Dive into the announcements and discover more content at https://www.nvidia.com/gtc.
00:00 GeForce Beyond: A Special Broadcast at GTC
19:34 NVIDIA Omniverse.
37:07 NVIDIA Robotics Platforms: Isaac, DRIVE, Clara Holoscan, Metropolis.
57:22 NVIDIA AI
1:08:48 Large Language Models.
1:15:39 Hopper and Grace Hopper.
1:21:47 AI & Omniverse Services to Enterprise.
1:30:25 Closing Summary.
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Inflated expectations around the capabilities of AI technologies may lead people to believe that computers can’t be wrong. The truth is AI failures are not a matter of if but when. AI is a human endeavor that combines information about people and the physical world into mathematical constructs. Such technologies typically rely on statistical methods, with the possibility for errors throughout an AI system’s lifespan. As AI systems become more widely used across domains, especially in high-stakes scenarios where people’s safety and wellbeing can be affected, a critical question must be addressed: how trustworthy are AI systems, and how much and when should people trust AI?
