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Applications

How is physical artificial intelligence used to optimize data center efficiency?

January 28, 2026 By Jeff Shepard Leave a Comment

Physical AI (PAI) in data center power systems uses machine learning for predictive maintenance, energy optimization, load balancing, and physical security. In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like training large language models (LLMs), running inference for real-time applications, and supporting infrastructure like […]

Filed Under: AI Engineering Collective, Applications, Artificial intelligence/ML, FAQ, Featured Tagged With: AI, data center, PAI

Why rotary DIP switches still matter in modern electronics

January 27, 2026 By Aimee Kalnoskas Leave a Comment

As embedded systems continue to grow in complexity, the need for simple, dependable configuration methods remains. Rotary DIP switches provide a hardware-based solution that allows engineers to set device options quickly and repeatably, without relying on software interfaces or additional components. Their durability, clear position indexing, and immunity to firmware issues make them especially valuable […]

Filed Under: Applications, Embedded, Industrial Tagged With: CUI Devices, DIP switches

Next-gen DSP boosts AI and audio processing on power-limited SoCs

January 23, 2026 By Puja Mitra Leave a Comment

The Tensilica HiFi iQ DSP from Cadence is a sixth-generation audio and voice DSP IP based on a new architecture designed for AI-enhanced audio processing in edge devices. The DSP delivers higher compute density and energy efficiency than prior HiFi cores, with support for AI data types such as FP8 and BF16, enhanced vectorization and […]

Filed Under: Applications, Artificial intelligence/ML, Consumer Electronics Tagged With: cadence, DSP

What is an AI governor and how does it relate to physical AI?

January 21, 2026 By Jeff Shepard Leave a Comment

An AI governor is a framework, set of policies, or an oversight mechanism designed to ensure that the development and use of AI systems are ethical, safe, transparent, and compliant with legal and societal standards. The term can also refer to an actual piece of code or circuit (governor logic) used as a safety mechanism […]

Filed Under: AI Engineering Collective, Applications, Artificial intelligence/ML, FAQ, Featured Tagged With: FAQ, PAI

Entry-level AI MCU enables low-power edge inference on one chip

January 15, 2026 By Puja Mitra Leave a Comment

The NuMicro M55M1 AI MCU from Nuvoton Technology, developed in collaboration with the Industrial Technology Research Institute, integrates an Arm Cortex-M55 core with an Arm Ethos-U55 micro-NPU to deliver about 110 GOP/s for edge AI inference. The device includes up to 1.5 MB SRAM and 2 MB Flash with optional HyperRAM and HyperFlash expansion, enabling […]

Filed Under: AI Engineering Collective, Applications, Artificial intelligence/ML, microcontroller Tagged With: MCU, nuvoton

How is physical AI used in autonomous and electric vehicles?

January 14, 2026 By Jeff Shepard Leave a Comment

Physical AI (PAI) in autonomous and electric vehicles (EVs) involves systems that perceive the environment, make intelligent decisions, and execute appropriate actions in real-time, bridging the gap between digital intelligence and physical motion. PAI is autonomous, and electric vehicles can be used for several functions. Initially, it’s helping improve battery management and energy efficiency. In […]

Filed Under: AI Engineering Collective, Applications, Artificial intelligence/ML, Automotive, EV Engineering, FAQ, Featured Tagged With: EV, FAQ, PAI

Edge controller embeds into semiconductor manufacturing equipment

January 14, 2026 By Puja Mitra Leave a Comment

The OpreX™ Intelligent Edge Controllers – A8 from Yokogawa Corporation of America are Linux-based embedded controllers built on Ubuntu 24.04 with real-time patches, designed for deterministic control in advanced automation systems. The A8 introduces a data-centric “Data Stream” software architecture that decouples control logic from hardware, supporting reusable development with libraries for motion control, PID […]

Filed Under: Applications, Controllers, Industrial Tagged With: controllers, Yokogawa

Low-power LPDDR5X memory IP targets AI data centers

January 13, 2026 By Aimee Kalnoskas Leave a Comment

Cadence introduced an LPDDR5X memory IP system supporting data rates up to 9600 Mbps for enterprise and data center applications. The design combines LPDDR5X IP with symbol-based error correction to provide reliability comparable to DDR5 ECC while maintaining low power consumption and compact implementation. The subsystem supports 40-bit channels and sideband ECC to preserve bandwidth […]

Filed Under: Applications, Artificial intelligence/ML, Data centers, Storage

Bluetooth LE module variants add memory and power configuration flexibility

January 9, 2026 By Puja Mitra Leave a Comment

The ISP2454-LX family from Insight SIP is a Bluetooth Low Energy module platform built on Nordic Semiconductor’s nRF54L15 SoC, combining an integrated antenna, BLE radio and onboard processing in a pin- and footprint-compatible design. The three variants share the same RF and processor core but scale features to match application needs, from the ISP2454-LL without […]

Filed Under: Applications, Embedded, IoT Tagged With: Bluetooth, Insight SIP

Embedded controller firmware adds authenticated boot and advanced power control

January 9, 2026 By Puja Mitra Leave a Comment

The MEC1723 embedded controller from Microchip Technology is paired with custom firmware to support system management in NVIDIA DGX Spark personal AI supercomputers, combining power sequencing and energy regulation with secure firmware authentication and ECC-P384-based cryptographic verification to establish a root of trust at boot. The firmware adds a DGX-specific packet-command host interface, plus EMI […]

Filed Under: Applications, Artificial intelligence/ML, Controllers Tagged With: embedded, Microchip Technology

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Featured Contributions

Designing for functional safety in robotics: key considerations for engineers

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