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Hardware acceleration unit for artificial intelligence tasks
A neural processing unit (NPU), also known as an AI accelerator or deep learning processor, is a class of specialized hardware accelerator or computer
Neural_processing_unit
AI accelerator ASIC by Google
Tensor Processing Unit (TPU) is a neural processing unit (NPU) application-specific integrated circuit (ASIC) developed by Google for neural network
Tensor_Processing_Unit
System-on-a-chip series designed by Apple Inc.
2026. Each chip integrates a central processing unit (CPU), graphics processing unit (GPU), neural processing unit (NPU), and unified memory in a single
Apple_M6
Emerging class of microprocessor
neuromorphic processor aimed at similar sensor data pattern recognition and intelligence tasks, including video/audio. Qualcomm Zeroth Neural processing unit, another
Vision_processing_unit
Intel microprocessor series released in 2024
of new 8-wide integer ALUs, doubled from Crestmont. Lunar Lake's Neural Processing Unit (NPU), which performs AI operations locally, in-silicon rather than
Lunar_Lake
System-on-a-chip designed by Apple Inc.
16-core Neural Engine is capable of 35 trillion operations per second (35 TOPS) and delivers up to twice the machine learning performance of the Neural Engine
Apple_A18
System-on-a-chip series designed by Apple Inc.
family. Each chip integrates a central processing unit (CPU), graphics processing unit (GPU), neural processing unit (NPU), and unified memory in a single
Apple_M5
System-on-a-chip designed by Apple Inc.
including a central processing unit (CPU), a graphics processing unit (GPU), a neural processing unit (NPU), and a digital signal processor (DSP). The M4 SoC
Apple_M4
System-on-a-chip designed by Apple Inc.
hardware accelerated ray tracing and mesh shading support. The 16-core Neural Engine is now capable of 35 trillion operations per second. The A17 Pro
Apple_A17_Pro
Electrical component for processing data
In computing and computer science, a processor or processing unit is an electrical component (digital circuit) that performs operations on an external
Processor_(computing)
Memory unit used in neural networks
In artificial neural networks, the gated recurrent unit (GRU) is a gating mechanism used in recurrent neural networks, introduced in 2014 by Kyunghyun
Gated_recurrent_unit
Intel microprocessor series released in 2023
features a Neural Processing Unit (NPU) to provide integrated AI capabilities. The NPU, which Intel previously referred to as a Vision Processing Unit (VPU)
Meteor_Lake
AMD neural processing unit microarchitecture
capabilities. Neural Processing Unit Apple Neural Engine Tensor Processing Unit AI engine Xilinx "AMD Unveils Next‑Gen "Zen 5" Ryzen Processors to Power Advanced
AMD_XDNA
AI accelerator series by Apple Inc.
Neural Engine is a series of AI accelerators designed for machine learning by Apple. Neural Engine was first introduced with the A11 Bionic system-on-a-chip
Neural_Engine
AI-powered feature of Windows 11
that meets the Secured-core standard A neural processing unit (NPU) capable of 40 TOPS 16 GB RAM 8 logical processors 256 GB storage capacity, with 50 GB
Windows_Recall
Branch of machine learning
surpassing human expert performance. Early forms of neural networks were inspired by information processing and distributed communication nodes in biological
Deep_learning
Class of artificial neural network
In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where
Recurrent_neural_network
Computational model used in machine learning
representations. Training neural networks is a compute-intensive process, accelerated by the use of graphics processing units (GPUs), and large datasets
Neural network (machine learning)
Neural_network_(machine_learning)
Type of feedforward neural network
image analysis, natural language processing, brain–computer interfaces, and financial time series. Feedforward neural networks are usually fully connected
Convolutional_neural_network
Neuromorphic tech company
convolutional or fully connected Neural Processing Units (NPUs), coupled with individual memory units. Akida runs an entire neural network executing all neuron
BrainChip
Topics referred to by the same term
for Properties and Units), for the clinical laboratory sciences Network processing unit, hardware for networking Neural processing unit, hardware for artificial
NPU
Topics referred to by the same term
machine learning applications, including artificial neural networks and machine vision Vision processing unit (VPU), an emerging (as of 2023[update]) class
Processor
Integrated circuit technology
flow sensor Physical neural network SpiNNaker SyNAPSE Retinomorphic sensor Unconventional computing Vision chip Vision processing unit Wetware computer Zeroth
Neuromorphic_computing
Specialized electronic circuit that accelerates graphics
A graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being
Graphics_processing_unit
Hardware specially designed and optimized for artificial intelligence
neural networks. Since 2017, several consumer grade central processing units (CPUs) and systems on a chip (SoCs) have on-die neural processing units (NPUs)
Hardware for artificial intelligence
Hardware_for_artificial_intelligence
Singapore-based technology company
compact wayfarer-style form factor, and incorporate an on-device neural processing unit for AI inference. Coldewey, Devin (2023-06-27). "Brilliant Labs
Brilliant_Labs
Type of activation function
In the context of artificial neural networks, the rectifier or ReLU (rectified linear unit) activation function is an activation function defined as the
Rectified_linear_unit
for brain-inspired computing from Qualcomm. It is based around a neural processing unit (NPU) AI accelerator chip and a software API to interact with the
Zeroth_(software)
American artificial intelligence company
from Gulf Cooperation Council sovereign wealth funds to develop a neural processing unit to compete with Nvidia. After OpenAI's board of directors appointed
Safe_Superintelligence_Inc.
South Korean technology company
chips, compilers, and system software, with a particular focus on neural processing units (NPUs) optimized for AI Inference. The company's chips are designed
Rebellions_(company)
Line of Nvidia produced servers and workstations
applications through the use of general-purpose computing on graphics processing units (GPGPU). These systems typically come in a rackmount format, initially
Nvidia_DGX
Family of digital signal processor microprocessors
Hexagon is the brand name for a family of digital signal processor (DSP) and later neural processing unit (NPU) products by Qualcomm. Hexagon is also known as
Qualcomm_Hexagon
Task of creating a processor
as CPUs, graphics processing units (GPUs), and neural processing units (NPUs) onto a single die or set of chiplets. The design process involves choosing
Processor_design
AMD brand for microprocessors
consists of central processing units (CPUs) marketed for mainstream, enthusiast, server, and workstation segments; accelerated processing units (APUs), marketed
Ryzen
Type of artificial neural network
(inputs-to-output). It contrasts with a recurrent neural network, in which loops allow information from later processing stages to feed back to earlier stages. Feedforward
Feedforward_neural_network
Overview of and topical guide to deep learning
learning processor, Neural processing unit (NPU), or Neural Engine Field-programmable gate array General-purpose computing on graphics processing units (GPGPU)
Outline_of_deep_learning
Compact desktop computer
with 20% recycled ocean plastic". Windows Dev Kit 2023 contains a neural processing unit (NPU), enabling developers "to run hardware-accelerated AI tasks
Windows_Dev_Kit_2023
British semiconductor and software design company
(Spiking Neural Network Architecture). Arm has four lines of central processing units (CPUs)/processors: Neoverse (infrastructure processors) Cortex-A
Arm_Holdings
2024 smartphone by Apple
The chip includes a 6-core CPU, 6-core GPU, and a 16-core neural processing unit (Neural Engine) with a speed of 35 trillion-operations-per-second (TOPS)
IPhone_16_Pro
System-on-a-chip designed by Apple Inc.
includes an improved neural processing unit (NPU) with 16 cores known as the "Apple Neural Engine", a new image signal processor (ISP) with improved computational
Apple_A16
Concept in machine learning
often performed on graphics processing units (GPUs) using CUDA, and on dedicated hardware such as Google's Tensor Processing Unit or Nvidia's Tensor core
Tensor_(machine_learning)
American semiconductor company
software – Tabular comparison of deep learning software Neural processing unit – Hardware acceleration unit for artificial intelligence tasks Outline of deep
Cerebras_Systems
2024 Intel product line
the Skymont E-cores do in the CPU tile. Arrow Lake uses the same Neural Processing Unit (NPU) as found in Meteor Lake that provides 13 TOPS of INT8 rather
Arrow_Lake_(microprocessor)
American fabless semiconductor company
also has a Neural Processing Unit (NPU) for AI inference. The VPU supports 4K@30fps + 1080P@30fps . Amlogic C305X – Neural Processing Unit (NPU) for AI
Amlogic
AMD computing architecture
industry professionals increasingly categorize XDNA architectures as Neural processing units (NPUs). However, the term includes all those architectures specifically
AI_engine
2024 AMD 4-nanometer processor microarchitecture
3rd-gen Ryzen AI engine based on XDNA 2, providing up to 50 TOPS of neural processing unit performance. The integrated graphics is upgraded to RDNA 3.5, and
Zen_5
Recurrent neural network architecture
Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem commonly encountered by traditional
Long_short-term_memory
Artificial neural network that mimics neurons
"A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks". Neural Processing Letters. 53 (6): 4693–4710. doi:10.1007/s11063-021-10562-2
Spiking_neural_network
Mathematical function conceived as a crude model
model of a biological neuron in a neural network. The artificial neuron is the elementary unit of an artificial neural network. The design of the artificial
Artificial_neuron
Class of artificial neural networks
Graph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs. Because graphs usually do not have a canonical
Graph_neural_network
Parallel computing paradigm
systems. CNN processors could be thought of as a hybrid between artificial neural network (ANN) and Continuous Automata (CA). The processing units of CNN and
Cellular_neural_network
Back-Propagation Network". Advances in Neural Information Processing Systems. 2. Morgan-Kaufmann. Zhang, Wei (1991). "Image processing of human corneal endothelium
History of artificial neural networks
History_of_artificial_neural_networks
Handheld gaming computer by ASUS
Extreme (an octa-core processor based on Zen 5 microarchitecture with sixteen RDNA 3.5 shaper graphics cores and a neural processing unit). The two models
ROG_Xbox_Ally
Equation in machine learning
in Neural Information Processing Systems. Vol. 31. Curran Associates, Inc. arXiv:1806.07366. Ruiz-Balet, Domènec; Zuazua, Enrique (2023). "Neural ODE
Neural_differential_equation
AI accelerator by Nvidia
The NVIDIA Deep Learning Accelerator (NVDLA) is an open-source hardware neural network AI accelerator created by Nvidia. The accelerator is written in
NVDLA
Android-based smartphone line by Huawei
Mate 9, the Mate 10 Pro flagship phone has a faster processor with an integrated neural processing unit, a slightly larger OLED screen (6.0-inch) with a
Huawei_Mate_10
Type of 3D graphics accelerator
replaced by the volume enclosed by a single ray (or ray bundle). Neural processing unit (NPU) – sometimes used to further accelerate the output from (real-time)
Ray_tracing_hardware
Machine learning technique
(not learned) features, which were then used to guide a second neural network in processing patches of the image in order of reducing saliency. A key aspect
Attention_(machine_learning)
Computer platform by Nvidia
from mid-October 2016 include a Drive PX 2, which will be used for neural net processing to enable Enhanced Autopilot and full self-driving functionality
Nvidia_Drive
Classification of Artificial Neural Networks (ANNs)
of neural networks (NN) include a family of techniques. The simplest types have static components, including number of units, number of layers, unit weights
Types of artificial neural networks
Types_of_artificial_neural_networks
Technology at Qualcomm Technologies and was the creator of Zeroth neural processing unit and its software API. He is past CEO of Iguana Robotics, a company
M._Anthony_Lewis
Brainwaves, repetitive patterns of neural activity in the central nervous system
Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory
Neural_oscillation
Spanish technology company
Sherpa (also known as Sherpa.ai) is a Spanish artificial intelligence company specializing in predictive conversational digital assistants. It was founded
Sherpa.ai
Artificial neural network node function
Tara; Kingsbury, Brian (2012). "Deep Neural Networks for Acoustic Modeling in Speech Recognition". IEEE Signal Processing Magazine. 29 (6): 82–97. doi:10.1109/MSP
Activation_function
Neural network architecture
a TDNN, each neural unit at each layer receives input not only from activations/features at the layer below, but from a pattern of unit output and its
Time_delay_neural_network
with Neural Processing Unit (NPU) for artificial intelligence applications. The RK1808 specifications include: Dual-core ARM Cortex-A35 CPU Neural Processing
List_of_Rockchip_products
2017 paper conceptualizing the transformer-based deep learning architecture
Garnett (ed.). 31st Conference on Neural Information Processing Systems (NIPS). Advances in Neural Information Processing Systems. Vol. 30. Curran Associates
Attention_Is_All_You_Need
Regulator for flow of signals in neural networks
Zhiru; Suh, G. Edward (2019). "Channel Gating Neural Networks". Advances in Neural Information Processing Systems. 32. Curran Associates, Inc. arXiv:1805
Gating_mechanism
Topics referred to by the same term
the Planetary Grand Tour TOPS, INT8 teraoperations per second in Neural processing units and other AI accelerators Jan Tops (born 1961), Dutch equestrian
Tops
Series of low-cost single-board computers
also introduced the Raspberry Pi AI HAT+, incorporating a Hailo neural processing unit (NPU) to accelerate machine learning workloads on the Raspberry
Raspberry_Pi
Computer composed of organic material
Wetware (brain) Biosensor Biological computing Machine olfaction Neural processing unit (NPU) Organoid intelligence Biological computer born Neurocomputers
Wetware_computer
Open-source CPU instruction set architecture
ESWIN's EIC7702X SoC that has AI capabilities up to 50 TOPS when NPU (Neural Processing Unit) is enabled. In addition to having a large number of CPU hardware
RISC-V
Parallel supercomputing architecture
SpiNNaker (spiking neural network architecture) is a massively parallel, manycore supercomputer architecture designed by the Advanced Processor Technologies
SpiNNaker
Method by which information is represented in the brain
Neural coding (or neural representation) refers to the relationship between a stimulus and its respective neuronal responses, and the signalling relationships
Neural_coding
Type of artificial neural network
In machine learning, a neural field (also known as implicit neural representation, neural implicit, or coordinate-based neural network), is a mathematical
Neural_field
Chinese electronics manufacturer
integrated Intel Arc 130V graphics and a dedicated Intel AI Boost neural processing unit (NPU). According to published specifications, the system delivers
Chuwi_(company)
Set of computer products developed by Asus
(TP3607). The article notes they promise “long battery life and a Neural Processing Unit (NPU) with 45 TOPS of power for localized AI tasks,” and that ASUS
Asus_Vivo
Array of processing elements specialized for parallelizable workloads
communicating processing elements (PEs) to quickly and efficiently run highly parallelizable kernels. The "spatial" term comes from processing element instances
Spatial_architecture
Phenomenon of the nervous system
Neural adaptation or sensory adaptation is a gradual decrease over time in the responsiveness of the sensory system to a constant stimulus. It is usually
Neural_adaptation
American semiconductor company
ARM-based Oryon CPU (from Nuvia acquisition), a GPU, and a dedicated neural processing unit. In October 2024, Qualcomm announced that the Qualcomm-Microsoft
Qualcomm
Computation of nearly accurate results
hardware, e.g. a neural processing unit. Approximate system In an approximate system, different subsystems of the system such as the processor, memory, sensor
Approximate_computing
Method in computer arithmetic
(branded as Ryzen AI 300 series) supports Block FP16 in the XDNA2 neural processing unit (NPU). Again, the elements do not have exponents of their own. The
Block_floating_point
Family of microcontrollers
application processors integrate multiple processing units including CPU cores, graphics processing units (GPUs), and video processing units (VPUs) onto
I.MX
Program at the California Institute of Technology
conferences and workshops: Snowbird Meeting on Neural Networks for Computing, in 1984. Neural Information Processing Systems (NIPS) in 1987. Methods in Computational
Computation and Neural Systems
Computation_and_Neural_Systems
Biological process
Neural computation is the information processing performed by networks of neurons. Neural computation is affiliated with the philosophical tradition of
Neural_computation
System-on-a-chip designed by Apple Inc.
Apple states that this provides twice the AI processing performance of its predecessor, and that the Neural Engine accelerates on-device AI models and computational
Apple_A20_Pro
American company
Edge AI hearing aids, which feature the G2 Neuro Processor with an integrated neural processing unit (NPU). According to coverage of the launch, the platform
Starkey_Hearing_Technologies
This list contains general information about graphics processing units (GPUs) and video cards from Nvidia, based on official specifications. In addition
List of Nvidia graphics processing units
List_of_Nvidia_graphics_processing_units
System-on-a-chip designed by Apple Inc.
Apple states that the central processing unit (CPU) performs up to 40% faster than the A12, while the graphics processing unit (GPU) is up to 30% faster than
Apple_A14
Type of feedforward neural network
unit (ReLU)) rather than the Heaviside step function used in the original perceptron. Nevertheless, the name persists to describe feedforward neural networks
Multilayer_perceptron
Quantum Mechanics in Neural Networks
Quantum neural networks (QNN) are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum
Quantum_neural_network
Use of a GPU for computations typically assigned to CPUs
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation
General-purpose computing on graphics processing units
General-purpose_computing_on_graphics_processing_units
Algorithm for modelling sequential data
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data
Transformer_(deep_learning)
in Fig. 5 indicates those neural maps and processing modules, which process a syllable as a whole unit (specific processing time window around 100 ms
Neurocomputational speech processing
Neurocomputational_speech_processing
Processing of natural language by a computer
Natural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely
Natural_language_processing
Optimization algorithm for artificial neural networks
commonly used for training a neural network in computing parameter updates. It is an efficient application of the chain rule to neural networks. Backpropagation
Backpropagation
Built-in image viewer for Windows 8 and later
able to artificially upscale photos 8x their original size via the neural processing unit (NPU). Copilot+ PCs are also provided with the Relight feature,
Photos_(Windows)
Machine learning model for vision processing
embeddings are then processed by a transformer encoder as if they were token embeddings. ViTs were designed as alternatives to convolutional neural networks (CNNs)
Vision_transformer
Mathematical activation function in data analysis
Non-Monotonic Neural Activation Function". arXiv:1908.08681 [cs.LG]. Hendrycks, Dan; Gimpel, Kevin (2016). "Gaussian Error Linear Units (GELUs)". arXiv:1606
Swish_function
Cognitive process
mammals. The development of neural networks in the outer layer of the brain in humans has allowed for better processing of visual and auditory patterns
Pattern recognition (psychology)
Pattern_recognition_(psychology)
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