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63 "Artificial Intelligence" Solutions

1
ARC EV Processors are fully programmable and configurable IP cores that are optimized for embedded vision applications

DesignWare EV Embedded Vision Processors provide high-performance processing capabilities at a power and cost point low enough for embedded applications, while maintaining flexibility to support an...


2
Arm Ethos-N57 NPU
ML Inference Processor with Balanced Efficiency and Performance

3
CDNN Deep Learning Compiler
The CEVA Deep Neural Network (CDNN) is a comprehensive compiler technology that creates fully-optimized runtime software for CEVA-XM Vision DSPs and NeuPro AI processors.

4
CEVA NeuPro-S - Edge AI Processor Architecture for Imaging & Computer Vision
NeuPro-S™ is a low power AI processor architecture for on-device deep learning inferencing, imaging and computer vision workloads.

5
CEVA-BX1 Multipurpose DSP/Controller
The CEVA-BX architecture delivers excellent all-round performance for a new generation of smart devices by providing the perfect alternative for special purpose DSPs and MCUs with DSP co-processors that cannot handle the diverse algorithm needs of today s applications.

6
CEVA-BX2 Multipurpose DSP/Controller
CEVA-BX2 is a multipurpose hybrid DSP and Controller, designed for the inherent low power requirements of DSP kernels with high-level programming and compact code size requirements of a large control code base.

7
Cortex-M55
The Arm Cortex-M55 processor is Arm's most AI-capable Cortex-M processor and the first to feature Arm Helium vector processing technology.

8
Ethos-U55 Embedded ML Inference for Cortex-M Systems
Unlock the Benefits of AI with this Best-in-Class Solution

9
NeuPro Family of AI Processors
Dedicated low power AI processor family for Deep Learning at the edge. Providing a self-contained, specialized AI processors, scaling in performance for a broad range of end markets including IoT, smartphones, surveillance, automotive, robotics, medical and industrial.

10
Neural Network Processor for Intelligent Vision, Voice, Natural Language Processing
Efficient and Versatile Computer Vision, Image, Voice, Natural Language, Neural Network Processor

11
Speedster7t FPGAs
Speedster®7t FPGAs are optimized for high-bandwidth workloads and eliminate the performance bottlenecks associated with traditional FPGAs.

12
Tensilica DNA Processor Family for On-Device AI
Built for AI processing with industry-leading performance and power efficiency
Enabling On-Device AI Across a Wide Range of Inference from 0.5 to 100s of TMACs

13
Tensilica Vision DSP Family
For sufficient pixel processing throughput, the Vision DSP family architecture incorporates advanced VLIW/SIMD support for the industry's highest number of ALU and MAC operations per processor cycle

14
Tensilica Vision DSPs for Imaging, Computer Vision, and Neural Networks
The Cadence® Tensilica® Vision digital signal processor (DSP) family offers a much-needed breakthrough in terms of energy efficiency and performance that enables applications never before possible in a programmable device.

15
Tensilica Vision DSPs for Imaging, Computer Vision, CNN
The Cadence Tensilica Vision DSPs are ideal for all embedded imaging, neural network and computer vision applications.They also offer outstanding performance while running neural networks.

16
Tensilica Vision Q6 DSP for Imaging and Neural Networks
The Vision Q6 DSP is the latest DSP for embedded vision and AI built on a new, faster processor architecture.

17
Tensilica Vision Q7 DSP
The Vision Q7 DSP is specifically optimized for simultaneous localization and mapping (SLAM), a technique commonly used in the robotics, drone, mobile, and automotive markets to automatically construct or update a map of an unknown environment, and in the AR/VR market for inside-out tracking.

18
VectorPath Accelerator Card
Designed to reduce time to market when developing high-performance compute and acceleration functions for AI, ML, networking and data center applications, this card features Achronix® high-performance Speedster7t AC7t1500 FPGA fabricated on TSMC s 7nm FinFET technology.

19
Vivante VIP8000
The Vivante VIP8000 consists of a highly multi-threaded Parallel Processing Unit, Neural Network Unit and Universal Storage Cache Unit.

20
WhisPro Speech recognition software package
WhisPro is a neural network based speech recognition software package, allowing customers to add voice activation to voice-enabled IoT devices. WhisPro™ is targeting the rapidly growing use of voice as a primary human interface for intelligent cloud-based services and edge devices.

21
c.WAVE100 - Deep Learning based Fully Hardwired Object Detection IP
Chips&Media s Computer Vision IP is Deep Learning based Object Detection with capability to process 4K resolution at 30 FPS input in real time.

22
InferX X1 Edge Inference Co-Processor
The InferX X1 Edge Inference Co-Processor is optimized for what the edge needs: large models and large models at batch=1.

23
NMAX512 : Neural Inferencing Tile for 1 to >100 TOPS
NMAX has a unique new architecture that loads weights rapidly compared to existing solutions.

24
nnMAX 1K AI Inference IP for 2 to >100 TOPS at low power, low die area
nnMAX 1K AI Inference IP for 2 to >100 TOPS at low power, low die area

25
PowerVR AX2185
Optimised for performance efficiency, the PowerVR AX2185 is the highest performing neural network accelerator per mm2 in the market.

26
PowerVR Series2NX Neural Network Accelerator (NNA)
The new PowerVR Series2NX Neural Network Accelerator (NNA) delivers high-performance computation of neural networks at very low power consumption in minimal silicon area.

27
PowerVR Series3NX
The highest performance neural network inference accelerator

28
Smart Data Acceleration
Rambus Smart Data Acceleration (SDA) research program is focused on tackling some of the major issues facing data centers and servers in the age of Big Data. The SDA Research Program has been explorin...

29
TritonAI 64 Platform for AI-enabled Edge SoCs
Wave Computing's customizable, AI-enabled platform merges a triad of powerful technologies to efficiently address use case requirements for inferencing at the edge.

30
Vision Platform
This platform is configured to give downstream blocks to offer superior processing such as lower bitrate requirements for high quality encoded video.The platform is suitable for us in a wide range of applications such as automotive (ADAS), surveillance and augmented reality.

31
FlexNoC AI Package
Complements FlexNoC interconnect IP, adding technologies for artificial intelligence (AI) and machine learning (ML) chip design.

32
neuASIC 7nm Platform for Machine Learning ASIC Design
Through customized, targeted IP offered in 7nm FinFET technology and a modular design methodology, the neuASIC platform removes the restrictions imposed by changing AI algorithms.

33
Face Detection and Tracking
Xilinx Zynq-7000 All Programmable SoC architecture, which combines dual-core ARM Cortex-A9 processors and programmable logic on a single device, enables for single-SoC implementations of multiple real...

34
MPSoC Multi-Camera Vision Kit
The logiVID-ZU Vision Development Kit provides system designers with everything they need to efficiently develop multi-camera vision applications on the Xilinx® Zynq® UltraScale+™ MPSoC devices.

35
v-CNNDesigner tool
The new v-CNNDesigner tool automatically translates trained neural networks into optimized implementations that run efficiently on the v-MP6000UDX architecture.

36
v-MP6000UDX - Deep Learning and Vision Processor
The most power-efficient and highest-performing visual processing architecture that you can license on the market. Whether you need to run deep learning algorithms, video compression or decompression, image manipulation or computer vision, the v-MP6000UDX architecture provides a very efficient implementation.

37
v-MP6000UDX processor
Deep learning has quickly become a must-have technology to bring new smart sensing and intelligent analysis capabilities to all of our electronics. Whether it s self-driving cars that need to understa...

38
Vision Development Kit
The logiVID-Z Vision Development Kit provides system designers with everything they need to efficiently develop multi-camera vision applications on the Xilinx Zynq-7000 AP SoC. It includes a complete ...

39
Accelerator for Convolutional Neural Networks
Gyrfalcon Technologies(GTI) offers silicon proven, acceleration IP for Convolutional Neural Networks used in image classification, object detection, natural language processing and other artificial in...

40
AGICIP AIM - AI Nature Memory
AI Nature Memory (Artificial Intelligence Nature Memory) is the basic memory block for AI cognitive core, while the AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy, and many others, yet memory is one of the key factors.

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