Author: dubai.digital
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A more effective way to train machines for uncertain, real-world situations | MIT News
[ad_1] Someone learning to play tennis might hire a teacher to help them learn faster. Because this teacher is (hopefully) a great tennis player, there are times when trying to exactly mimic the teacher won’t help the student learn. Perhaps the teacher leaps high into the air to deftly return a volley. The student, unable…
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AI, Acceleration Promise Fast, Efficient Predictions | NVIDIA Blogs
[ad_1] The increased frequency and severity of extreme weather and climate events could take a million lives and cost $1.7 trillion annually by 2050, according to the Munich Reinsurance Company. This underscores a critical need for accurate weather forecasting, especially with the rise in severe weather occurrences such as blizzards, hurricanes and heatwaves. AI and…
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Driven to driverless | MIT News
[ad_1] When Cindy Heredia was choosing an MBA program, she knew she wanted to be at the forefront of the autonomous driving industry. While doing research, she discovered that MIT had a unique offering: a student-run driverless team. Heredia applied to MIT to join the team, hoping to get hands-on experience. “My hope is that…
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When computer vision works more like a brain, it sees more like people do | MIT News
[ad_1] From cameras to self-driving cars, many of today’s technologies depend on artificial intelligence to extract meaning from visual information. Today’s AI technology has artificial neural networks at its core, and most of the time we can trust these AI computer vision systems to see things the way we do — but sometimes they falter.…
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NVIDIA Research Wins Autonomous Driving Challenge, Innovation Award at CVPR
[ad_1] NVIDIA will be showcased next week as the winner of the fiercely contested 3D Occupancy Prediction Challenge for autonomous driving development at the Computer Vision and Pattern Recognition Conference (CVPR), in Vancouver, Canada. The competition had more than 400 submissions from nearly 150 teams across 10 regions. 3D occupancy prediction is the process of…
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Scaling audio-visual learning without labels | MIT News
[ad_1] Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere have developed a new technique for analyzing unlabeled audio and visual data that could improve the performance of machine-learning models used in applications like speech recognition and object detection. The work, for the first time, combines two architectures of self-supervised learning, contrastive…
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NVIDIA CEO: Creators Will Be “Supercharged” by Generative AI
[ad_1] Generative AI will “supercharge” creators across industries and content types, NVIDIA founder and CEO Jensen Huang said today at the Cannes Lions Festival, on the French Riviera. “For the very first time, the creative process can be amplified in content generation, and the content generation could be in any modality — it could be…
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Q&A: Gabriela Sá Pessoa on Brazilian politics, human rights in the Amazon, and AI | MIT News
[ad_1] Gabriela Sá Pessoa is a journalist passionate about the intersection of human rights and climate change. She came to MIT from The Washington Post, where she worked from her home country of Brazil as a news researcher reporting on the Amazon, human rights violations, and environmental crimes. Before that, she held roles at two…
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Marvelous Designer Omniverse Connector Lets Creators Fashion Digital Assets, Clothes for 3D Characters With Universal Scene Description
[ad_1] Editor’s note: This post is part of Into the Omniverse, a monthly series focused on how artists, developers and enterprises can transform their workflows using the latest advances in Universal Scene Description and NVIDIA Omniverse. Whether animating fish fins or fashioning chic outfits for digital characters, creators can tap Marvelous Designer software to compose…
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MIT researchers make language models scalable self-learners | MIT News
[ad_1] Socrates once said: “It is not the size of a thing, but the quality that truly matters. For it is in the nature of substance, not its volume, that true value is found.” Does size always matter for large language models (LLMs)? In a technological landscape bedazzled by LLMs taking center stage, a team…