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Machine Learning Engineer Careers at Intel in Phoenix, AZ

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The mission of Intel's Incubation Disruptive Innovation (IDI) team is to create an environment to identify new opportunities for innovation and disruptive technologies as a path to create new markets and new organizational capabilities leveraging Intel's competitive advantages.


How AI/ML Improves Fab Operations

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Chip shortages are forcing fabs and OSATs to maximize capacity and assess how much benefit AI and machine learning can provide. This is particularly important in light of the growth projections by market analysts. The chip manufacturing industry is expected to double in size over the next five years, and collective improvements in factories, AI databases, and tools will be essential for doubling down on productivity. "We're not going to fail on this digital transformation, because there's no option," said John Behnke, general manager in charge of smart manufacturing at Inficon. "All the fabs are collectively going to make 20% to 40% more product, but they can't get a new tool right now for 18 to 36 months. To leverage all this potential, we're going to overcome the historical human fear of change."


Neural Network Generates Global Tree Height Map, Reveals Carbon Stock Potential

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A new study from researchers at ETH Zurich's EcoVision Lab is the first to produce an interactive Global Canopy Height map. Using a newly developed deep learning algorithm that processes publicly available satellite images, the study could help scientists identify areas of ecosystem degradation and deforestation. The work could also guide sustainable forest management by identifying areas for prime carbon storage--a cornerstone in mitigating climate change. "Global high-resolution data on vegetation characteristics are needed to sustainably manage terrestrial ecosystems, mitigate climate change, and prevent biodiversity loss. With this project, we aim to fill the missing data gaps by merging data from two space missions with the help of deep learning," said Konrad Schindler, a Professor in the Department of Civil, Environmental, and Geomatic Engineering at ETH Zurich.


What is Neural Network Libraries container available in NVIDIA GPU Cloud - World-class cloud from India

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With the applications of artificial intelligence and deep learning (DL) on the rise, organisations seek easy and faster solutions to the problems presented by AI and deep learning. The challenge has always been about how to imitate the human brain and be able to deploy its logic artificially. Result: Neural Networks that are essentially designed on the human brain wiring. Neural Networks can be described as a set of algorithms that are loosely modelled on human brain. They are designed to recognise patterns.


What Is Conversational AI? ZeroShot Bot CEO Jason Mars Explains

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Entrepreneur Jason Mars calls conversation our "first technology." Before humans invented the wheel, crafted a spear or tamed fire, we mastered the superpower of talking to one another. That makes conversation an incredibly important tool. But if you've dealt with the automated chatbots deployed by the customer service arms of just about any big organization lately -- whether banks or airlines -- you also know how hard it can be to get it right. Deep learning AI and new techniques such as zero-shot learning promise to change that.


Low-Code AI Model Development with the NVIDIA TAO Toolkit

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Chintan Shah is a senior product manager at NVIDIA, focusing on AI products for intelligent video analytics. Chintan manages an end-to-end toolkit for efficient deep learning training and real-time inference. Previously, he developed hardware IPs for NVIDIA GPUs. Chintan holds a master's degree in electrical engineering from North Carolina State University.


Modern Computing: A Short History, 1945-2022

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Inspired by A New History of Modern Computing by Thomas Haigh and Paul E. Ceruzzi. But the selection of key events in the journey from ENIAC to Tesla, from Data Processing to Big Data, is mine. This was the first computer made by Apple Computers Inc, which became one of the fastest growing ... [ ] companies in history, launching a number of innovative and influential computer hardware and software products. Most home computer users in the 1970s were hobbyists who designed and assembled their own machines. The Apple I, devised in a bedroom by Steve Wozniak, Steven Jobs and Ron Wayne, was a basic circuit board to which enthusiasts would add display units and keyboards. April 1945 John von Neumann's "First Draft of a Report on the EDVAC," often called the founding document of modern computing, defines "the stored program concept." July 1945 Vannevar Bush publishes "As We May Think," in which he envisions the "Memex," a memory extension device serving as a large personal repository of information that could be instantly retrieved through associative links.


NVIDIA Is Making Next-Gen GPUs 'Better Than Human' Thanks To AI & Machine Learning

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During the GTC conference, Bill Dally, NVIDIA's chief scientist and senior vice president of research, discussed how the company's research and development teams are utilizing AI and machine learning to increase the design and efficiency of the company's next-gen GPUs. Dally further discussed the use of machine learning and artificial intelligence to advance their goals of a better and more powerful GPU. Dally gave an example of using AI and ML to increase inference to speed a standard GPU design task from three hours to three seconds. The two approaches have optimized up to four processes that ran slow and were highly intricate. Dally drafted four substantial sections on GPU designing and how AI and machine learning can significantly impact during the GTC conference.


A Night to Behold: Researchers Use Deep Learning to Bring Color to Night Vision

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A team of scientists has used GPU-accelerated deep learning to show how color can be brought to night-vision systems. In a paper published this week in the journal PLOS One, a team of researchers at the University of California, Irvine led by Professor Pierre Baldi and Dr. Andrew Browne, describes how they reconstructed color images of photos of faces using an infrared camera. The study is a step toward predicting and reconstructing what humans would see using cameras that collect light using imperceptible near-infrared illumination. The study's authors explain that humans see light in the so-called "visible spectrum," or light with wavelengths of between 400 and 700 nanometers. Typical night vision systems rely on cameras that collect infrared light outside this spectrum that we can't see.


Join Google Cloud at NVIDIA GTC

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Join Google Cloud at NVIDIA GTC (register for free here) to understand how Google Cloud and NVIDIA are able to help you conquer challenges. We'll show you how to accelerate your artificial intelligence (AI) machine learning (ML) and High Performance Computing (HPC) workloads. Join "Accelerate Your AI and HPC Journey on Google Cloud (Presented by Google Cloud) -- S42583" to hear how NVIDIA GPUs power Google's AI/ML portfolio and review five different ways to deploy and manage NVIDIA GPUs on Google Cloud. We'll also hear from automotive companies, how they're innovating and revolutionizing the industry. "Nuro's perception team has accelerated their AI model development with Vertex AI NAS. Vertex AI NAS have enabled us to innovate AI models to achieve good accuracy and optimize memory and latency for the target hardware. Overall, this has increased our team's productivity for developing and deploying perception AI models."