All items tagged with edge devices (29)

XMOS and Plumerai Partner To Bring Binarized Neural Networks to the Edge

April 2, 2020 by audioXpress Staff

XMOS and Plumerai Partner To Bring Binarized Neural Networks to the Edge

British technology companies XMOS and Plumerai have agreed a new strategic partnership that will support the development of binarized neural network (BNN) capabilities that enable AI to be embedded in a wide range of everyday devices efficiently at low power and at low cost. XMOS and Plumerai will bring together their deep learning expertise across chip design and algorithms in a binarized neural network capability, advancing the deployment of intelligence at the edge.

CEVA Announces DSP and Voice Neural Networks Integration for Power-Efficient Edge Processors

March 25, 2020 by audioXpress Staff

CEVA Announces DSP and Voice Neural Networks Integration for Power-Efficient Edge Processors

CEVA announced that its CEVA-BX DSP cores and WhisPro speech recognition software now also support TensorFlow Lite for Microcontrollers, a production ready, cross-platform framework for deploying tiny machine learning on power-efficient processors in edge devices. WhisPro is CEVA's speech recognition software for voice wake words and custom command models. TensorFlow Lite for Microcontrollers is a solution from Google for implementing machine learning at the edge, already optimized and available for CEVA-BX DSP cores.

Syntiant and Sensory Demonstrate First Ultra-Low-Power Multi-Language Voice Solution At The Edge

January 9, 2020 by audioXpress Staff

Syntiant and Sensory Demonstrate First Ultra-Low-Power Multi-Language Voice Solution At The Edge

At CES 2020, Syntiant announced a partnership with Sensory, combining the expertise and technologies in AI and speech recognition at the Edge, to deliver a deep learning, multi-lingual voice interface for battery-powered devices. The combined solution merges Sensory’s larger, higher-performance TrulyHandsfree wake word engine and voice control with Syntiant’s microwatt-power Neural Decision Processors (NDPs), bringing low-latency, real-time inference to edge devices.

Sonos Announces Acquisition of Snips to Expand Voice Efforts

November 20, 2019 by Joao Martins

Sonos Announces Acquisition of Snips to Expand Voice Efforts

Sonos announced the acquisition of Snips, a French company that provides embedded voice assistants and interfaces for connected devices that run locally and offline. The acquisition adds a talented group of employees and strategic IP to Sonos. Following the company's presentation at CES 2019, Snips received a Best of Innovation Awards in the Embedded Technology category. Snips will enable Sonos to design speech-enabled devices that can operate offline and to market them faster without sacrificing its own brand identity.

Avnet Unveils MaaXBoard for Low-Cost Embedded Computing and Edge AI Development

November 14, 2019 by Cristina Costa

Avnet Unveils MaaXBoard for Low-Cost Embedded Computing and Edge AI Development

Avnet is now offering a single board computer which allows developers to focus more on the software side of their projects. The new MaaXBoard is a low-cost, production-ready qualified platform, based on the NXP i.MX 8M applications processor, ideal for embedded computing and applications that leverage AI at the edge. It supports design engineers and end-users seeking to create automation, multimedia, AI and smart home applications with reduced cost and time-to-market.

NXP Announces New Dual-Core Arm Cortex-M Based GHz Crossover Microcontroller for Advanced Machine Learning Applications

October 4, 2019 by audioXpress Staff

NXP Announces New Dual-Core Arm Cortex-M Based GHz Crossover Microcontroller for Advanced Machine Learning Applications

NXP Semiconductors announced the i.MX RT1170 family of crossover MCUs that combines unprecedented levels of performance, reliability, and integration to propel industrial, automotive and consumer machine learning applications. The NXP i.MX RT1170 family reinforces NXP’s commitment to advance edge computing with its EdgeVerse portfolio of solutions and marks a technology breakthrough with MCUs that run up to 1GHz while maintaining low-power efficiency.

QuickLogic Announces Time Series EOS S3AI Development Platform for Endpoint AI and Machine Learning Applications

March 18, 2019 by audioXpress Staff

QuickLogic Announces Time Series EOS S3AI Development Platform for Endpoint AI and Machine Learning Applications

QuickLogic, the developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, announced the launch of its EOS S3AI platform for endpoint Artificial Intelligence (AI) and Machine Learning (ML) applications. The new AI platform provides all the hardware blocks needed to enable low power AI at the connected device endpoint. It comes with time-series (continuous) sensors, including accelerometer / gyroscope / magnetometer motion sensors and two digital microphones (PDMs).

DSP Group and Snips Announce Technology Partnership on Multi-Room Embedded Voice Recognition Architecture

February 26, 2019 by audioXpress Staff

DSP Group and Snips Announce Technology Partnership on Multi-Room Embedded Voice Recognition Architecture

DSP Group and Snips, the European pioneer in embedded voice recognition software, announced a technology partnership which combines Snips’ voice software with DSP Group’s Ultra Low Energy (ULE) system-on-chip (SoC) and modules. According to the announcement, this combination of software and hardware running over the ULE network extends the reach of natural voice-controlled edge devices and could become a natural choice for multi-room smart home and smart building applications.

CEVA Introduces WhisPro, Neural Network-Based Speech Recognition Technology For Voice Assistants and Connected Devices

January 17, 2019 by audioXpress Staff

CEVA Introduces WhisPro, Neural Network-Based Speech Recognition Technology For Voice Assistants and Connected Devices

During CES 2019, CEVA, a leading licensor of signal processing platforms and artificial intelligence processors, introduced WhisPro, a Neural Network based speech recognition technology targeting the rapidly growing use of voice as a primary human interface for intelligent cloud-based services and edge devices. WhisPro provides Trigger Phrase SDKit for always-on devices, extending CEVA's intelligent sound IP portfolio, and offering developers a holistic solution for cloud-based or edge voice-controlled devices.

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