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Company type | Subsidiary |
---|---|
Founded | 2005 |
Defunct | September 2016 |
Fate | Acquired by Intel |
Headquarters | San Mateo, California, U.S. |
Products | Computer vision and deep-learning processor chips |
Owner | Intel |
Website | www |
Movidius is a company based in San Mateo, California, that designs low-power processor chips for computer vision. The company was acquired by Intel in September 2016. [1]
Movidius was co-founded in 2005 by Sean Mitchell and David Moloney in Dublin, Ireland. [2] [3] Between 2006 and 2016, it raised nearly $90 million in capital funding. [4] In May 2013, the company appointed Remi El-Ouazzane as CEO. [5] In January 2016, the company announced a partnership with Google. [6] Movidius has been active in Google's Project Tango, [7] and in September 2016 it was announced that Intel planned to acquire the company. [8]
The company's Myriad 2 chip is a manycore vision processing unit that can function on power-constrained devices.[ citation needed ] 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 people or objects. It can run at between 80 and 150 GFLOPS on 1W of power. [9]
Intel's Myriad X VPU (vision processing unit) is the third generation VPU from Movidius. It uses a Neural Compute Engine, a dedicated hardware accelerator—for neural network deep-learning inferences.
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The Intel Movidius Neural Compute Stick (NCS) is a compact device designed to facilitate the development of deep learning applications at the network edge. It utilizes the Intel Movidius Myriad 2 Vision Processing Unit (VPU), which is also found in various smart devices like security cameras, gesture-controlled drones, and industrial machine vision systems. The NCS supports frameworks such as TensorFlow and Caffe for developing neural network models. [10]
The second iteration, the Intel Neural Compute Stick 2 (NCS 2), was introduced on November 14, 2018, at the AI DevCon event in Beijing. This version is based on the Myriad X VPU, which significantly improves performance over the original, providing up to eight times the processing capability for AI inference tasks. The NCS 2 is designed to work seamlessly with the Intel Distribution of OpenVINO toolkit, which helps developers optimize and deploy their models efficiently. [11]
The NCS connects to a host machine via a USB interface, allowing developers to rapidly prototype and deploy deep neural network applications without the need for cloud connectivity. This makes it suitable for various real-time, low-power applications where efficient on-device processing is essential. [11]
Processor may refer to:
Manycore processors are special kinds of multi-core processors designed for a high degree of parallel processing, containing numerous simpler, independent processor cores. Manycore processors are used extensively in embedded computers and high-performance computing.
Ambarella, Inc. is an American fabless semiconductor design company, focusing on low-power, high-definition (HD) and Ultra HD video compression, image processing, and computer vision processors. Ambarella's products are used in a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver and in-cabin monitoring, autonomous driving, and robotics applications. Ambarella's system on chips (SoCs) are designed to deliver a combination of video compression, image processing, and computer vision performance with low-power operation to enable cameras to extract data from high-resolution video streams.
A stick PC or PC on a stick is a single-board computer in a small elongated casing resembling a stick, that can usually be plugged directly into an HDMI video port. A stick PC is a device which has independent CPUs or processing chips and which does not rely on another computer. It should not be confused with passive storage devices such as thumb drives.
A cognitive computer is a computer that hardwires artificial intelligence and machine learning algorithms into an integrated circuit that closely reproduces the behavior of the human brain. It generally adopts a neuromorphic engineering approach. Synonyms include neuromorphic chip and cognitive chip.
SZ DJI Technology Co., Ltd. or Shenzhen DJI Sciences and Technologies Ltd. or DJI is a Chinese technology company headquartered in Shenzhen, Guangdong, backed by several state-owned entities. DJI manufactures commercial unmanned aerial vehicles (drones) for aerial photography and videography. It also designs and manufactures camera systems, gimbal stabilizers, propulsion systems, enterprise software, aerial agriculture equipment, and flight control systems.
Heterogeneous computing refers to systems that use more than one kind of processor or core. These systems gain performance or energy efficiency not just by adding the same type of processors, but by adding dissimilar coprocessors, usually incorporating specialized processing capabilities to handle particular tasks.
Amlogic Inc. is a fabless semiconductor company that was founded on March 14, 1995, in Santa Clara, California and is predominantly focused on designing and selling system on a chip integrated circuits. Like most fabless companies in the industry, the company outsources the actual manufacturing of its chips to third-party independent chip manufacturers such as TSMC. Its main target applications as of 2021 are entertainment devices such as Android TV-based devices and IPTV/OTT set-top boxes, media dongles, smart TVs and tablets. It has offices in Shanghai, Shenzhen, Beijing, Xi'an, Chengdu, Hefei, Nanjing, Qingdao, Taipei, Hong Kong, Seoul, Mumbai, London, Munich, Indianapolis, Milan, Novi Sad and Santa Clara, California.
A vision processing unit (VPU) is an emerging class of microprocessor; it is a specific type of AI accelerator, designed to accelerate machine vision tasks.
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale.
An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and computer vision. Typical applications include algorithms for robotics, Internet of Things, and other data-intensive or sensor-driven tasks. They are often manycore designs and generally focus on low-precision arithmetic, novel dataflow architectures or in-memory computing capability. As of 2024, a typical AI integrated circuit chip contains tens of billions of MOSFETs.
Remi El-Ouazzane is a French businessman and embedded systems engineer who has led various initiatives in mobile computing, machine vision and embedded artificial intelligence. El-Ouazzane is STMicroelectronics (ST) President, Microcontrollers and Digital ICs Group and has held this position since January 1, 2022. He is a member of ST's executive committee.
The DJI Mavic is a series of teleoperated compact quadcopter drones for personal and commercial aerial photography and videography use, released by the Chinese technology company DJI.
Eyes of Things (EoT) is the name of a project funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement number 643924. The purpose of the project, which is funded under the Smart Cyber-physical systems topic, is to develop a generic hardware-software platform for embedded, efficient, computer vision, including deep learning inference.
Phi-Sat-1 is a CubeSat mission from the European Space Agency (ESA) that uses Artificial Intelligence (AI) for Earth observation. The mission will collect a large number images from space in the visible, near-infrared and thermal-infrared parts of the electromagnetic spectrum, and then filter out the images which are covered with clouds using AI algorithms. This reduces the number of images to be downlinked from space and therefore improve efficiency. The Phi-Sat-1 mission has two main objectives:
Specialized computer hardware is often used to execute artificial intelligence (AI) programs faster, and with less energy, such as Lisp machines, neuromorphic engineering, event cameras, and physical neural networks. As of 2023, the market for AI hardware is dominated by GPUs.
Phi-Sat-2 is an Earth observation CubeSat mission from the European Space Agency (ESA) capable of running AI apps directly on board. What makes Phi-Sat-2 particularly noteworthy is its utilization of the NanoSat MO Framework, a modular and open-source platform designed for small satellite missions.
BrainChip is an Australia-based technology company, founded in 2004 by Peter Van Der Made, that specializes in developing advanced artificial intelligence (AI) and machine learning (ML) hardware. The company's primary products are the MetaTF development environment, which allows the training and deployment of spiking neural networks (SNN), and the AKD1000 neuromorphic processor, a hardware implementation of their spiking neural network system. BrainChip's technology is based on a neuromorphic computing architecture, which attempts to mimic the way the human brain works. The company is a part of Intel Foundry Services and Arm AI partnership.