2023-03-17 - Kneron Inc.

Kneron AI SoC supports Qualcomm for virtually seamless AI for robotics, drones, and Industry 4.0

Kneron's KL720 AI SoC now supports the Qualcomm Robotics RB1 and Qualcomm Robotics RB2 Platforms for robotics, drones, and Industry 4.0.

2023-03-15 - Renesas Electronics Corp.

Renesas demos first AI implementations on Arm Cortex-M85 featuring Helium technology

Renesas is doing live demonstrations of AI and ML implementations on an MCU based on the Arm Cortex-M85 processor at embedded world 2023.

2023-02-23 - Samsung Electronics Co. Ltd

Ambarella selects Samsung’s 5nm technology for automotive AI controller

Ambarella's integrated CV3-AD685 system-on-chip is built on Samsung Foundry's 5nm technology.

2023-02-15 - Synopsys Inc.

Synopsys reaches scale for AI-driven chip designs

Synopsys reaches scale for AI-driven chip designs as major semiconductor customers register the first 100 commercial tape-outs with its DSO.ai autonomous design system.

2023-02-01 - STMicroelectronics

STMicroelectronics launches MCU Edge-AI Developer Cloud

STMicroelectronics' MCU AI Developer Cloud enables access to online services to benchmark edge-AI models on STM32 boards.

2023-01-13 - NXP Semiconductors

NXP enables secure and scalable AI-enabled edge platforms

NXP's i.MX 95 family enables machine learning and advanced edge applications across automotive, industrial and IoT applications.

2023-01-12 - Keysight Technologies

Keysight’s technology predictions for 2023

Keysight Technologies executives provide their forecasts on opportunities, challenges, trends, and developments to expect in the coming year.

2022-12-16 - EE Times/EDN Taiwan/Asia Editorial Team

NXP driving carbon reduction, energy savings in automotive industry

The global automotive industry’s move toward electrification and intelligence is driving up demand further for chips, making the automotive market a battleground for semiconductor makers in recent years.

2022-12-05 - STMicroelectronics

Embedded AI solutions ease ML development

STMicroelectronics has released upgrades to both NanoEdge AI Studio and STM32Cube.AI to accelerate embedded AI and ML development projects.

2022-11-29 - Rehan Hameed

Boosting embedded AI performance with edge AI processors

A look at Kinara's accelerator and NXP processors which combine to deliver edge AI performance capable of delivering smart camera designs.