In an effort to rein in illicit fishing, researchers have unveiled a new open-source AI model that can accurately identify what virtually all of the world��s seafaring vessels are doing, including whether a boat is potentially fishing illegally. Seattle-based Ai2 (the Allen Institute for AI) recently released a lightweight model named Atlantes to analyze more than five billion GPS signals a��
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NVIDIA has built three computers and accelerated development platforms to enable developers to create physical AI.
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Some of Africa��s most resource-constrained farmers are gaining access to on-demand, AI-powered advice through a multimodal chatbot that gives detailed recommendations about how to increase yields or fight common pests and crop diseases. Since February, farmers in the East African nation of Malawi have had access to the chatbot, named UlangiziAI, through WhatsApp on mobile phones.
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By 2030, John Deere aims for fully autonomous farming, addressing global challenges like labor shortages, sustainability, and food security. Their AI and robotics solutions make farming more efficient and profitable, reduce environmental impact, lower carbon footprints, and promote biodiversity. In this session, Chris Padwick, director of Machine Learning and Computer Vision at John Deere��
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Machine Learning algorithms are beginning to revolutionize modern agriculture. Enabling farmers to combat pests and diseases in real time, the technology is improving crop production and profits, while reducing waste, greenhouse gas emissions, and pesticide use. Around 6% of the world��s CO2 emissions come from farming. And every year, up to 40% of crops are lost due to pests and disease.
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The latest release of NVIDIA cuBLAS library, version 12.5, continues to deliver functionality and performance to deep learning (DL) and high-performance computing (HPC) workloads. This post provides an overview of the following updates on cuBLAS matrix multiplications (matmuls) since version 12.0, and a walkthrough: Grouped GEMM APIs can be viewed as a generalization of the batched��
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As cyberattacks become more sophisticated, organizations must constantly adapt with cutting-edge solutions to protect their critical assets. One such solution is Cisco Secure Workload, a comprehensive security solution designed to safeguard application workloads across diverse infrastructures, locations, and form factors. Cisco recently announced version 3.9 of the Cisco Secure Workload��
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The latest state-of-the-art foundation large language models (LLMs) have billions of parameters and are pretrained on trillions of tokens of input text. They often achieve striking results on a wide variety of use cases without any need for customization. Despite this, studies have shown that the best accuracy on downstream tasks can be achieved by adapting LLMs with high-quality��
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In today��s data-driven landscape, maximizing performance and efficiency in data processing and analytics is critical. While many Databricks users are familiar with using GPU clusters for machine learning training, there��s a vast opportunity to leverage GPU acceleration for data processing and analytics tasks as well. Databricks�� Data Intelligence Platform empowers users to manage both small��
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NVIDIA today announced the latest release of NVIDIA TensorRT, an ecosystem of APIs for high-performance deep learning inference. TensorRT includes inference runtimes and model optimizations that deliver low latency and high throughput for production applications. This post outlines the key features and upgrades of this release, including easier installation, increased usability��
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This week��s model release features DBRX, a state-of-the-art large language model (LLM) developed by Databricks. With demonstrated strength in programming and coding tasks, DBRX is adept at handling specialized topics and writing specific algorithms in languages like Python. It can also be used for text completion tasks and few-turn interactions. DBRX long-context abilities can be used in RAG��
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NVIDIA NeMo, an end-to-end platform for developing multimodal generative AI models at scale anywhere��on any cloud and on-premises��recently released Parakeet-TDT. This new addition to the?NeMo ASR Parakeet model family boasts better accuracy and 64% greater speed over the previously best model, Parakeet-RNNT-1.1B. This post explains Parakeet-TDT and how to use it to generate highly accurate��
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Generative AI is transforming computing, paving new avenues for humans to interact with computers in natural, intuitive ways. For enterprises, the prospect of generative AI is vast. Businesses can tap into their rich datasets to streamline time-consuming tasks��from text summarization and translation to insight prediction and content generation. But they must also navigate adoption challenges.
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Advances in AI are rapidly transforming every industry. Join us in person or virtually to learn about the latest technologies, from retrieval-augmented generation to OpenUSD.
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This week��s Model Monday release features the NVIDIA-optimized code Llama, Kosmos-2, and SeamlessM4T, which you can experience directly from your browser. With NVIDIA AI Foundation Models and Endpoints, you can access a curated set of community and NVIDIA-built generative AI models to experience, customize, and deploy in enterprise applications. Meta��s Code Llama 70B is the latest��
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NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. Building vision AI applications for the edge often comes with notoriously long and costly development cycles. At the same time, quickly developing edge AI applications that are cloud-native, flexible, and secure has never been more important. Now��
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Gain insights from advanced AI use cases powered by the NVIDIA Jetson Orin in ruggedized environments.
]]>Embedded edge AI is transforming industrial environments by introducing intelligence and real-time processing to even the most challenging settings. Edge AI is increasingly being used in agriculture, construction, energy, aerospace, satellites, the public sector, and more. With the NVIDIA Jetson edge AI and robotics platform, you can deploy AI and compute for sensor fusion in these complex��
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Building on the momentum from last year��s expansion of NVIDIA Jetson edge AI devices, the NVIDIA Jetson Orin NX 16 GB module is now available for purchase worldwide. The Jetson Orin NX 16 GB module is unmatched in performance and efficiency for small form factor, low-power robots, and autonomous machines. This makes it ideal for use in products like drones and handheld devices.
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In the quest for knowledge in understanding data, I never pictured my passion shifting towards AI. As a matter of fact, AI is all data! For context, the major hindrance to the implementation of AI projects across the African continent has been the lack of digitized data upon which AI algorithms are built. In my local region of Kenya, for instance, we have struggled to convert data stacked��
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The pace for development and deployment of AI-powered robots and other autonomous machines continues to grow rapidly. The next generation of applications require large increases in AI compute performance to handle multimodal AI applications running concurrently in real time. Human-robot interactions are increasing in retail spaces, food delivery, hospitals, warehouses, factory floors��
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Availability of the the NVIDIA Jetson AGX Orin Developer Kit was announced today at NVIDIA GTC. The platform is the world��s most powerful, compact, and energy-efficient AI supercomputer for advanced robotics, autonomous machines, and next-generation embedded and edge computing. Jetson AGX Orin delivers up to 275 trillion operations per second (TOPS). It gives customers more than 8X the��
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Powerful airborne sensors could be key in helping farmers sustainably manage maize across the US Corn Belt, according to a University of Illinois research team. The study, which employs remote sensors combined with newly developed deep learning models, gives an accurate and speedy prediction of crop nitrogen, chlorophyll, and photosynthetic capacity. Published in the International Journal of��
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New weather-forecasting research using AI is fast-tracking global weather predictions. The study, recently published in the Journal of Advances in Modeling Earth Systems, could help identify potential extreme weather 2�C6 weeks into the future. Accurate predictions of extreme weather with a longer lead time give communities and critical sectors such as public health, water management, energy��
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See the latest AI-vision advancements in developer tools, accelerated research, smart spaces, and deploying AI at the edge. With innovation happening across many industries, don��t miss all the exciting use cases and discoveries that will be presented at this GTC. NVIDIA GTC runs from November 8-11, with a focus on all things computer vision��including Intelligent Video Analytics��
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This is a guest submitted post by Natnael Kebede, Co-founder and Chief NERD at New Era Research and Development Center It was one year ago in a random conversation that a friend told me about a piece of hardware in excitement. At that point I never imagined how the conversation would have the potential to impact my life. My name is Natnael Kebede, the Co-founder and Chief NERD at New Era��
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NVIDIA announced the Jetson Nano 2GB Developer Kit, the ideal hands-on platform for teaching, learning, and developing AI and robotics applications. The NVIDIA Jetson platform introduced six years ago revolutionized embedded computing by delivering the power of artificial intelligence to edge computing devices. NVIDIA Jetson today is widely used in diverse fields such as robotics, retail��
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Pieter Abbeel��s new robotics startup Covariant this week deployed their AI-equipped robot at customer facilities in North America and Europe in the apparel, pharmaceutical, and electronics industries. The company is backed by some of the biggest names in AI, including Geoffrey Hinton, Jeff Dean, Yann LeCun, Fei-Fei Li, and many others. Their GPU-accelerated platform consists of off-the��
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Manually assessing damage in areas most affected by a disaster is challenging and time-consuming. To help produce more accurate and faster data for rescue workers and aid organizations, researchers from Facebook and CrowdAI developed a deep learning-based algorithm that can automatically estimate the level of damages an area has suffered. ��The goal of this research is to allow rescue workers to��
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Yamaha Motor just announced they selected the NVIDIA Jetson AGX Xavier platform as the development system to power their upcoming lineup of autonomous machines in agriculture, logistics, marine products, and last mile-transportation. NVIDIA Founder and CEO Jensen Huang made the announcement at GTC Japan in Tokyo. ��At Yamaha we want our products to move people, not just physically but by giving��
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Researchers from the University of South Australia recently developed a deep learning system that uses drones to detect areas in agricultural land that require additional irrigation or fertilizers. The system allows farmers to precisely plan how much water and nutrients they will need on a given day. The method also has the potential to drastically improve crop health, moisture��
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Researchers with the National Center for Supercomputing Applications (NCSA) developed a deep learning-based technique that uses satellite data and supercomputers to distinguish between corn and soybean fields. The research, published in the Remote Sensing Environment journal, is a major breakthrough in the agricultural industry, as it allows a variety of stakeholders to get real-time analytics.
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Saillog, an Israeli-based startup, developed a mobile application that leverages deep learning to identify over 500 diseases and pest infestations affecting farmers crops. The app can also notify users about which crop diseases and pests have been detected close to their farms. Using NVIDIA TITAN X GPUs with the cuDNN-accelerated TensorFlow deep learning framework, the startup trained their��
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The startup, Earth Observing Systems (EOS), uses NVIDIA GTX 1080 GPUs, and NVIDIA Tesla V100 GPUs on the Amazon Cloud, with the cuDNN-accelerated TensorFlow deep learning framework to train their algorithm on both historical and current observations, including satellite imagery and historical data. Once trained, EOS implements the deep learning system to calculate crop conditions in a particular��
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With our planet getting warmer and warmer, and carbon dioxide levels steadily creeping up, companies are using deep learning to help cope with the effects that climate change is having on their crops. An article on MIT Technology Review highlights PEAT, a German company using CUDA, TITAN X GPUs and the cuDNN-accelerated Caffe deep learning framework to provide farmers with a plant disease and��
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The Earth isn��t getting any bigger, so we need to start finding more efficient ways to feed the projected 10 billion people by 2050 using the same amount of land. WIRED recently published an article highlighting several examples of how artificial intelligence technology can be used to tackle this challenge: Crop Disease Diagnosis Researchers from EPFL in Switzerland and Penn State University��
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To meet the demand of the world��s growing population, farmers need to improve the productivity of their herds. Amsterdam-based Connecterra recently raised nearly $2 million to further develop their GPU-accelerated deep learning solution that consists of a wearable device that monitors each animal in the herd and transmits the data to a cloud platform for analysis and prediction of behavioral��
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