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Movidius Myriad 2
Movidius is a company based in San Mateo, California, that designs specialised low-power processor chips for computer vision. The company was acquired by Intel in September 2016. Company history Movidius was co-founded in Dublin in 2005, by Sean Mitchell and David Moloney. Between 2006 and 2016, it raised nearly $90 million in capital funding. In May 2013, the company appointed Remi El-Ouazzane as CEO. In January 2016, the company announced a partnership with Google. Movidius has been active in Google's Project Tango project, and Movidius also announced a planned acquisition by Intel in September 2016. Products Myriad 2 The company's Myriad 2 chip is an always-on manycore vision processing unit that can function on power-constrained devices. The ''Fathom'' is a USB stick containing a Myriad 2 processor, allowing a vision accelerator to be added to devices using ARM processors including PCs, drones, robots, IoT devices and video surveillance for tasks such as identifying peo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
San Mateo, California
San Mateo ( ; ) is a city in San Mateo County, California, on the San Francisco Peninsula. About 20 miles (32 km) south of San Francisco, the city borders Burlingame to the north, Hillsborough to the west, San Francisco Bay and Foster City to the east and Belmont to the south. The population was 105,661 at the 2020 census. San Mateo has a Mediterranean climate and is known for its rich history at the center of the San Francisco Bay Area. Some of the biggest economic drivers for the city include technology, health care and education. History The Ramaytush people lived in the land, prior to its becoming the city of San Mateo. In 1789, the Spanish missionaries had named a Native American village along Laurel Creek as ''Los Laureles'' or the Laurels (Mission Dolores, 1789). At the time of Mexican Independence, 30 native Californians were at San Mateo, most likely from the Salson tribelet. Naming of the city Captain Frederick William Beechey in 1827 traveling with t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Internet Of Things
The Internet of things (IoT) describes physical objects (or groups of such objects) with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. Internet of things has been considered a misnomer because devices do not need to be connected to the public internet, they only need to be connected to a network and be individually addressable. The field has evolved due to the convergence of multiple technologies, including ubiquitous computing, commodity sensors, increasingly powerful embedded systems, as well as machine learning.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring Aerospace Science and Technology, 2022. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including Home automation, home and building automation), indepen ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Convolutional Neural Network
In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of artificial neural network (ANN), most commonly applied to analyze visual imagery. CNNs are also known as Shift Invariant or Space Invariant Artificial Neural Networks (SIANN), based on the shared-weight architecture of the convolution kernels or filters that slide along input features and provide translation-equivariant responses known as feature maps. Counter-intuitively, most convolutional neural networks are not invariant to translation, due to the downsampling operation they apply to the input. They have applications in image and video recognition, recommender systems, image classification, image segmentation, medical image analysis, natural language processing, brain–computer interfaces, and financial time series. CNNs are regularized versions of multilayer perceptrons. Multilayer perceptrons usually mean fully connected networks, that is, each neuron in one layer is connected to all neuro ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Coprocessor
A coprocessor is a computer processor used to supplement the functions of the primary processor (the CPU). Operations performed by the coprocessor may be floating-point arithmetic, graphics, signal processing, string processing, cryptography or I/O interfacing with peripheral devices. By offloading processor-intensive tasks from the main processor, coprocessors can accelerate system performance. Coprocessors allow a line of computers to be customized, so that customers who do not need the extra performance do not need to pay for it. Functionality Coprocessors vary in their degree of autonomy. Some (such as FPUs) rely on direct control via coprocessor instructions, embedded in the CPU's instruction stream. Others are independent processors in their own right, capable of working asynchronously; they are still not optimized for general-purpose code, or they are incapable of it due to a limited instruction set focused on accelerating specific tasks. It is common for these t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
MPSoC
A multiprocessor system on a chip (, ' or ) is a system on a chip (SoC) which includes multiple microprocessors. As such, it is a multi-core system on a chip. MPSoCs are usually targeted for embedded applications. It is used by platforms that contain multiple, usually heterogeneous, processing elements with specific functionalities reflecting the need of the expected application domain, a memory hierarchy and I/O components. All these components are linked to each other by an on-chip interconnect, such as buses and Networks on chip (NoCs). These architectures meet the performance needs of multimedia applications, telecommunication architectures, network security and other application domains while limiting the power consumption through the use of specialised processing elements and architecture. Structure A multiprocessor system on a chip must by definition have multiple processor cores. MPSoCs often contain multiple logically distinct processor modules as well. Addi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Vision Processing Unit
A vision processing unit (VPU) is (as of 2018) an emerging class of microprocessor; it is a specific type of AI accelerator, designed to accelerate machine vision tasks. Overview Vision processing units are distinct from video processing units (which are specialised for video encoding and decoding) in their suitability for running machine vision algorithms such as CNN (convolutional neural networks), SIFT (Scale-invariant feature transform) and similar. They may include direct interfaces to take data from cameras (bypassing any off chip buffers), and have a greater emphasis on on-chip dataflow between many parallel execution units with scratchpad memory, like a manycore DSP. But, like video processing units, they may have a focus on low precision fixed point arithmetic for image processing. Contrast with GPUs They are distinct from GPUs, which contain specialised hardware for rasterization and texture mapping (for 3D graphics), and whose memory architecture is optimi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Google Clips
Google Clips is a discontinued miniature clip-on camera device developed by Google. It was announced during Google's "Made By Google" event on 4 October 2017. It was released for sale on January 27, 2018. With a flashing LED that indicates it is recording, Google Clips automatically captures video clips at moments its machine learning algorithms determine to be interesting or relevant. Google clips' AI will learn the faces of people so it can learn to take photos with certain people. Google Clips' can automatically set lighting and framing. It had 16 GB of storage built-in storage and could record clips for up to 3 hours. This camera was originally priced at $249 in the United States. The product was pulled from the Google Store on October 15, 2019. Google has said that the product would be supported until the end of December of 2021. Reception ''The Independent'' wrote that Google Clips is "an impressive little device, but one that also has the potential to feel very creepy. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Caffe (software)
Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at University of California, Berkeley. It is open source, under a BSD license. It is written in C++, with a Python interface. History Yangqing Jia created the Caffe project during his PhD at UC Berkeley. It is currently hosted on GitHub. Features Caffe supports many different types of deep learning architectures geared towards image classification and image segmentation. It supports CNN, RCNN, LSTM and fully connected neural network designs. Caffe supports GPU- and CPU-based acceleration computational kernel libraries such as NVIDIA cuDNN and Intel MKL. Applications Caffe is being used in academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia. Yahoo! has also integrated Caffe with Apache Spark to create CaffeOnSpark, a distributed deep learning framework. Caffe2 In April 2017, Facebook ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
TensorFlow
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. "It is machine learning software being used for various kinds of perceptual and language understanding tasks" – Jeffrey Dean, minute 0:47 / 2:17 from YouTube clip TensorFlow was developed by the Google Brain team for internal Google use in research and production. The initial version was released under the Apache License 2.0 in 2015. Google released the updated version of TensorFlow, named TensorFlow 2.0, in September 2019. TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java. This flexibility lends itself to a range of applications in many different sectors. History DistBelief Starting in 2011, Google Brain built DistBelief as a proprietary machine learning system based on deep learning neural n ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Drone (aircraft)
An unmanned aerial vehicle (UAV), commonly known as a drone, is an aircraft without any human Aircraft pilot, pilot, crew, or passengers on board. UAVs are a component of an #Terminology, unmanned aircraft system (UAS), which includes adding a ground-based controller and a system of communications with the UAV. The flight of UAVs may operate under remote control by a human operator, as remotely-piloted aircraft (RPA), or with various degrees of Vehicular automation, autonomy, such as autopilot assistance, up to fully autonomous aircraft that have no provision for human intervention. UAVs were originally developed through the twentieth century for military missions too "dull, dirty or dangerous" for humans, and by the twenty-first, they had become essential assets to most militaries. As control technologies improved and costs fell, their use expanded to many non-military applications.Hu, J.; Bhowmick, P.; Jang, I.; Arvin, F.; Lanzon, A.,A Decentralized Cluster Formation Co ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Image Processor
An image processor, also known as an image processing engine, image processing unit (IPU), or image signal processor (ISP), is a type of media processor or specialized digital signal processor (DSP) used for image processing, in digital cameras or other devices. Image processors often employ parallel computing even with SIMD or MIMD technologies to increase speed and efficiency. The digital image processing engine can perform a range of tasks. To increase the system integration on embedded devices, often it is a system on a chip with multi-core processor architecture. Function Bayer transformation The photodiodes employed in an image sensor are color-blind by nature: they can only record shades of grey. To get color into the picture, they are covered with different color filters: red, green and blue (RGB) according to the pattern designated by the Bayer filter - named after its inventor. As each photodiode records the color information for exactly one pixel of the image, withou ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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