All items tagged with machine learning (106)
Microchip Technology Launches RISC-V Multi-Core 64-Bit Microprocessors
July 10, 2024 by Cristina Costa

Microchip Technology Launches RISC-V Multi-Core 64-Bit Microprocessors

Real-time, compute intensive applications such as fully adaptive noise cancellation, voice separation and Machine Learning (ML) are pushing the boundaries of embedded processing requirements, demanding more power-efficiency, hardware-level security and high reliability at the edge. With the launch of its PIC64 portfolio, Microchip Technology expanded its computing range to meet this rising demands.
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Accentize dxRevive Pro Version 1.2 Software Adds Enhanced Speech Restoration Capabilities
July 8, 2024 by audioXpress Staff

Accentize dxRevive Pro Version 1.2 Software Adds Enhanced Speech Restoration Capabilities

Software startup Accentize released dxRevive Pro Version 1.2.0, a significant update to their flagship speech restoration plugin. This new version, based on feedback from audio professionals, introduces three innovative algorithms designed to further refine and enhance dialogue restoration, all available as a free update for existing users. The update includes two enhanced versions of existing algorithms – Studio 3 and Natural 2 – alongside an entirely new algorithm, EQ Restore.
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Ceva Adds New TinyML Optimized NPUs to Enable Edge AI Everywhere
June 24, 2024 by audioXpress Staff

Ceva Adds New TinyML Optimized NPUs to Enable Edge AI Everywhere

Ceva, a leading licensor of silicon and software IP that enables edge devices to connect, sense and infer data more reliably and efficiently, announced that it has extended its Ceva-NeuPro family of NPUs. These meet growing demand for efficient and specialized AI applications at the Edge, where power and processing power is often limited, particularly in consumer products such as TWS earbuds, wearables, smart speakers, smart appliances, home automation devices, cameras, and more.
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BdSound and NXP Announce Automotive Audio Partnership
June 20, 2024 by Joao Martins

BdSound and NXP Announce Automotive Audio Partnership

BdSound and NXP Semiconductors have joined forces to combine advanced audio signal processing and voice technology with NXP's latest automotive SAF9100 audio DSP device. BdSound aims to provide cutting-edge integrations to improve voice user experience in next-generation vehicles, through NXP’s recently announced high-performance SAF9100 audio DSP. This platform features dedicated neural-network engines that BdSound will be able to fully explore.
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NXP Advances AI Audio Processing with SAF9xxx Audio DSPs
June 18, 2024 by Joao Martins

NXP Advances AI Audio Processing with SAF9xxx Audio DSPs

NXP Semiconductors is improving AI audio capabilities in automotive infotainment and marking a significant improvement in automotive audio processing technology in general with the latest SAF9xxx family of audio DSPs. Utilizing Cadence’s latest generation high-performance Tensilica HiFi 5 DSPs, combined with dedicated neural-network engines, the SAF9xxx audio DSPs enable efficient implementation of next-generation, high-quality, self-learning audio and speech applications.
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On-Device Intelligence: Apple Makes AI Make Sense
June 13, 2024 by Joao Martins

On-Device Intelligence: Apple Makes AI Make Sense

Apple's Worldwide Developers Conference (WWDC) 2024 keynote unveiled Apple Intelligence and was another historic moment for the Cupertino company. Apple Intelligence will be implemented in this year's and future devices, and will arrive with iOS 18, iPadOS 18, macOS Sequoia, and watchOS 11 updates. Everywhere in the demonstrations of the new features, we could see clear signs of artificial intelligence doing its thing in the background. A true milestone in the history of computing and consumer technology - when AI started to make sense.
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Cirrus Logic, Audioscenic, and Zylux Reveal Laptop Design Featuring Multichannel Spatial Audio at Computex 2024
June 5, 2024 by Joao Martins

Cirrus Logic, Audioscenic, and Zylux Reveal Laptop Design Featuring Multichannel Spatial Audio at Computex 2024

During Computex 2024, Audioscenic revealed a multichannel laptop reference design built through a special collaboration with Cirrus Logic and Zylux. The reference design combines Audioscenic Amphi position-adaptive 3D sound with DSP smart amplifier technology from Cirrus Logic, and micro-transducers from Zylux. Once again, Audioscenic showcases the full potential of multichannel spatial audio to enhance audio reproduction, even under the most extreme hardware constraints.
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iZotope Introduces RX 11 Audio Processing Software
May 15, 2024 by audioXpress Staff

iZotope Introduces RX 11 Audio Processing Software

iZotope, now a part of Native Instruments, announced RX 11, the latest version of the famous audio repair and forensics suite, now featuring new machine learning tools for tackling noise, and loudness management tools for music streaming. The new software update combines the power of visual-based spectral editing with new intelligent real-time dialogue isolation and music repair features, plus new purpose-built tools for fixing and polishing audio.
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Apple Unveils Visual, Sound, and Haptic Accessibility Features
May 15, 2024 by audioXpress Staff

Apple Unveils Visual, Sound, and Haptic Accessibility Features

Spanning its multiple platforms and dedicated operating systems, Apple continues to offer valuable accessibility features to both overcome user disabilities and enhance individual experiences. The company announced new accessibility features coming later in 2024, including new visual, sound and haptic options that harness the power of Apple hardware and software, Apple silicon, artificial intelligence, and machine learning.
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Microchip Technology Acquires Neuronix AI Labs
April 16, 2024 by audioXpress Staff

Microchip Technology Acquires Neuronix AI Labs

Microchip Technology has acquired Neuronix AI Labs to expand its capabilities for power-efficient, AI-enabled edge solutions deployed on field programmable gate arrays (FPGAs). Microchip’s mid-range PolarFire FPGAs and SoCs already lead the industry in terms of low power consumption, reliability and security capabilities. The acquisition of this technology will enable Microchip to develop cost-effective, large-scale edge deployments for use in applications on systems that have cost, size and power constraints and enable a multifold increase in AI/ML processing horsepower on low and mid-range FPGAs.
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