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3 Top Artificial Intelligence Stocks to Buy in September

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Many investors might think of sentient robots when tech pundits discuss the booming artificial intelligence (AI) market. However, intelligent robots only represent a tiny silver of a worldwide AI market that is projected to grow at a compound annual growth rate (CAGR) of 35.6% from 2021 to 2026, according to Facts and Factors. A large portion of that market actually revolves around algorithms and software platforms that help companies make data-driven decisions, automate repetitive tasks, streamline their operations, and cut costs. Let's examine three top AI stocks that will benefit from the market's expansion. Nvidia (NASDAQ:NVDA) is the world's top producer of discrete GPUs.


'Finch' trailer sees man, machine and dog try to flee climate change

Engadget

Apple offered a brief glimpse of the Tom Hanks-led Finch at its recent iPhone 13 launch event, and now you can watch the first full trailer for the upcoming sci-fi film. The clip sets the stage for the story that follows. A solar flare knocked out most of the technology on Earth and left much of the US a desolate wasteland. Hanks' character, the titular Finch, survives in an underground shelter with his only companion, a dog named Goodyear, until he builds a new Android companion. The three of them eventually leave their home when it becomes threatened by the sandstorms that dominate the world of the movie.


Tom Hanks survives the apocalypse with a dog and robot in 'Finch' trailer

Mashable

In director Miguel Sapochnik's film, Hanks plays Finch, a robotics engineer who journeys to find a new home for his newfound dog friend and newly built robot (played by Caleb Landry Jones) after a catastrophic solar event destroys the land, covering it all in sand. Amid this genuinely terrifying situation, Finch teaches his canine companion some table manners and creates a humanoid robot from his hideout. As the three try to outrun an approaching storm, they become an unlikely team. Finch comes to Apple TV on Nov. 5.


AI hardware pioneer Cerebras expands access in partnership with cloud vendor Cirrascale

ZDNet

The battle for artificial intelligence hardware keeps moving through phases. Three years ago, chip startups such as Habana Labs, Graphcore, and Cerebras Systems grabbed the spotlight with special semiconductors designed expressly for deep learning. Those vendors then moved on to selling whole systems, with newcomers such as SambaNova Systems starting out with that premise. Now, the action is proceeding to a new phase, where vendors are partnering with cloud operators to challenge the entrenched place of Nvidia as the vendor of choice in cloud AI. Cerebras on Thursday announced a partnership with cloud operator Cirrascale to allow users to rent capacity on Cerebras's CS-2 AI machine running in Cirrascale cloud data centers.


HomePod mini update lets it become your default Apple TV speaker

Engadget

Apple didn't even touch on the HomePod line during its iPhone 13 event, but that doesn't mean the smart speakers will go untouched this fall. To start, you can set two or more HomePod minis as your default speakers for an Apple TV 4K. You won't have to specify them when it's time to sit down for a movie. They won't exactly produce thunderous audio, but they could save you from buying separate smart speakers or a pricier soundbar. The update enables Siri voice control through supporting HomeKit accessories.


AI Fueling a Technological Revolution in Africa

#artificialintelligence

AI is at play on a global stage, and local developers are stealing the show. Grassroot communities are essential to driving AI innovation, according to Kate Kallot, head of emerging areas at NVIDIA. On its opening day, Kallot gave a keynote speech at the largest AI Expo Africa to date, addressing a virtual crowd of 10,000 people. She highlighted how AI can fuel technological and creative revolutions around the world. Kallot also shared how NVIDIA supports developers in emerging markets to build and scale their AI projects, including through the NVIDIA Developer Program, which has more than 2.5 million members; the NVIDIA Inception Program, which offers go-to-market support, expertise and technology for AI, data science and HPC startups; and the NVIDIA Deep Learning Institute, which offers educational resources for anyone who wants to learn about all things AI. "I hope to inspire you on ways to fuel your own applications and help advance the African AI revolution," Kallot said.


Save 97% on this stacked training bundle for Raspberry Pi and Arduino

Mashable

TL;DR: The 2021 Raspberry Pi and Arduino Bootcamp Bundle is on sale for £14.47 as of Sept. 14, saving you 97% on list price. Even if you have no experience, the five-course Raspberry Pi and Arduino bootcamp will help you get started learning about programming and robotics. It's designed for complete beginners and walks you through Robot Operating System (ROS) basics first and foremost so that you can create powerful and scalable robot applications. Then you can apply those skills in the Raspberry Pi For Beginners and Arduino for Beginners courses. Each course is hands-on and takes you step by step through the basics of your first projects.


NVIDIA Research: Tensors Are the Future of Deep Learning

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This post discusses tensor methods, how they are used in NVIDIA, and how they are central to the next generation of AI algorithms. Tensors, which generalize matrices to more than two dimensions, are everywhere in modern machine learning. From deep neural networks features to videos or fMRI data, the structure in these higher-order tensors is often crucial. Deep neural networks typically map between higher-order tensors. In fact, it is the ability of deep convolutional neural networks to preserve and leverage local structure that made the current levels of performance possible, along with large datasets and efficient hardware. Tensor methods enable you to preserve and leverage that structure further, for individual layers or whole networks.


AI Hardware Summit to Once More Bring Together the Goliaths and Davids of the AI Acceleration World

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MOUNTAIN VIEW, Calif., Aug. 8, 2021 -- As machine learning models continue to grow in size and complexity, and more and more models enter production in enterprises worldwide, the acceleration of these workloads is becoming more complex and compute-intensive. At the front end, data-centricity is taking precedence over model-centricity, while at the back end, AI practitioners increasingly want systems that are performant and efficient, but also sustainable, explainable and accountable. From massive research models like GPT-3, to day-to-day models deployed by enterprises around the world, the AI Hardware Summit will bring together people focused on making AI fast, efficient, and affordable. In previous years the AI Hardware Summit has been the site for announcements and product reveals from the likes of Habana Labs, Graphcore, Intel, Qualcomm and many others. As the nexus of the AI acceleration community, the summit has also helped ground-breaking hardware reach people who are using AI to change the world.


La veille de la cybersécurité

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Grid, which runs on AWS, supports Lightning and classic machine learning frameworks such as TensorFlow, Keras, PyTorch, Sci-Kit, and others. It also helps users to scale the training of models from the NGC catalogue. NGC catalogue is a curated set of GPU-optimised containers for deep learning, visualisation, and high-performance computing (HPC). PyTorch lightning software and developer environment is available on NGC Catalog. Also, check out GitHub to get started with Grid, NGC, PyTorch Lightning here.