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Picture of the day is of Oliver Tatlow, a Leonardo Systems Degree Apprentice. He’s won this year’s Royal Aeronautical Society’s (RAeS) Stevenage Branch’s Young Professionals Lecture Competition for his presentation on stealth technology.
The post Pic of the Day: EW BrightSpark stealthily scoops Royal Aeronautical Society award appeared first on Electronics Weekly .
Quinas Technology which is commercialising the ULTRARAM non-volatile memory technology developed at Lancaster University, is using Atomic Layer Etching (ALE) to fab its chips at KAUST Core Labs in Saudi …
The post ULTRARAM being fabbed with ALE appeared first on Electronics Weekly .
Melexis has hooked up with bionic specialist OYMotion to integrate Melexis’ magnetic tactile sensor – Tactaxis – into robotic hands, delivering the human-like dexterity and neural-grade feedback needed to bridge …
The post Melexis hooks up with OYMotion on robotic hands appeared first on Electronics Weekly .
The Q4 global connectivity market spanning mobile, fixed broadband and fixed voice, reached $333 billion, representing a 5% YoY growth. Full year revenues totalled $1.3 trillion in 2025, up 4% …
The post Q4 connectivity market hits $333bn appeared first on Electronics Weekly .
Posifa Technologies is introducing its PGS5100 series of MEMS thermal conductivity hydrogen sensors. They are designed to provide early warning of abnormal conditions inside EV battery packs and other demanding …
The post Posifa hydrogen sensor monitors EV battery safety and leaks appeared first on Electronics Weekly .
Cerebras, the wafer-scale AI chip developer, has put out a prospectus for investors in an upcoming IPO. According to the prospectus Cerebras had revenue of $510 million last year – …
The post Cerebras files for IPO appeared first on Electronics Weekly .
Atmos Space Cargo has closed a €25.7 million Series A financing round. It says the investment will support an initial three-vehicle PHOENIX 2 fleet. The financing will also help the …
The post Atmos Space Cargo raises €25.7m Series A for reusable spacecraft appeared first on Electronics Weekly .
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In this release, AWS Neuron SDK 2.29.0 promotes the Neuron Kernel Interface (NKI) from Beta to Stable with version 0.3.0. NKI gives developers direct, low-level programming access to AWS Trainium and AWS Inferentia NeuronCores using a Python-based syntax. This release introduces the NKI Standard Library, which exposes developer-visible source code for all NKI APIs and native language objects. It also contains a new CPU Simulator that lets developers write, test, and debug NKI kernels locally on standard CPU, without requiring Trainium hardware, using standard Python debugging tools. NKI 0.3.0 also adds new ISA-level features including a dedicated exponential instruction, matmul accumulation control, DMA priority settings for Trn3, and variable-length all-to-all collectives.
The NKI Library expands with 7 new experimental kernels covering Conv1D, a multi-layer Transformer token generation megakernel, fused communication-compute primitives for Trainium2, and dynamic tiling operations. Existing kernels also receive improvements. Attention CTE scales to larger batch sizes and sequence lengths, MLP adds mixed-precision quantization paths, and MoE TKG introduces a dynamic all-expert algorithm.
For inference, NxD Inference improves vision language model support with optimizations for Qwen3 VL and Qwen2 VL, including text-model sequence parallelism and vision data parallelism. vLLM Neuron Plugin updated to version 0.5.0.
Neuron Explorer, Neuron’s profiling and debugging suite of tools, also moves from Beta to Stable. The System Trace Viewer now supports the full set of Device widgets for multi-device profile analysis, and the tool is available on the VS Code Extension Marketplace for streamlined installation. For full release details, see the AWS Neuron SDK 2.29.0 release notes.
The SDK is available in all AWS Regions supporting Inferentia and Trainium instances.
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Amazon Connect now enables you to automatically pass customer context to personalize self-service experiences from the moment a call connects. When a customer initiates a call from a website, mobile app, or notification link, you can automatically pass context, such as customer IDs, session references, and campaign codes, into the call. AI agents use this context to recognize the caller, understand the reason for the call, take action, and resolve issues without requiring callers to re-identify themselves or repeat why they are calling.
To learn more about these features, see the Amazon Connect Administrator Guide . These features are available in all AWS regions where Amazon Connect is available.
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Amazon Connect now expands agentic voice speech-to-speech experiences to three additional AWS Regions: Asia Pacific (Seoul), Asia Pacific (Singapore), and Europe (Frankfurt), along with new locales including Australian English, British English, Singaporean English, Spanish, French, German, Italian, and Korean. With these updates, you can deliver natural, human-like voice AI experiences to a broader range of customers across more regions and languages.
Amazon Connect’s agentic self-service capabilities enable AI agents to understand, reason, and take action across voice and messaging channels to automate routine and complex service tasks. Connect’s agentic speech-to-speech voice AI agents understand not only what your customers say but how they say it, adapting voice responses to match tone and sentiment while maintaining natural conversational pace.
To learn more about this feature, see the Amazon Connect Administrator Guide . To learn more about Amazon Connect, AWS’s AI-native customer experience solution, visit the Amazon Connect website .