Q2 PC shipments of 68.4 million units were up 6.5% y-o-y, according to IDC. Despite PC market growth in other geographies, the US market is starting to feel the pinch …

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Despite the future ambitions of SaxaVord, in the Shetlands, and Andøya Space Center, in Norway, Europe’s official Spaceport is actually located in the northeast of South America. In French Guiana, …

The post ESA secures access to Guiana Space Centre for launches to 2035 appeared first on Electronics Weekly .

Nidec has opened its 108,000m2 motor factory in Jiaozhou, intended to make 18 million units and 20 million inverters per year. Part of the company’s ACIM (appliance, commercial and industrial …

The post Nidec opens 108,000m2 motor and inverter factory in Qingdao appeared first on Electronics Weekly .

EPC has taken its GaN driver for motorised humanoid robot joints a stage further, squeezing a control MCU and magnetic angular sensing alongside the power stage, all on a 32mm …

The post GaN robot joint motor drive includes MCU and sensing in 32mm disc appeared first on Electronics Weekly .

The Design and Verification Conference & Exhibition Europe (DVCon Europe) has announced its keynote speakers. Ralph Schleifer, head of virtual ECUs and simulation at CARIAD will deliver ‘Driving Forward: The …

The post DVCon Europe announces keynote lineup appeared first on Electronics Weekly .

A team from Laval University in Quebec has sent 1Tbit/s down an optical fibre used micro ring resonators on silicon to modulate the data. “Unlike traditional systems that exploit only …

The post 1Tbit/s down 80km of optical fibre appeared first on Electronics Weekly .

A new working group has been announced to establish cross-industry collaboration to improve the interoperability of product and environment simulation, models, and components using existing and new open standards. Accellera …

The post Working group to tackle interoperability for system-of-systems simulation appeared first on Electronics Weekly .

Student engineers from the University of Bath have won the 2025 UAS Challenge, where 32 universities teams brought self-constructed autonomous drones to Lincolnshire. Team Bath Drones beat reigning champions Beihang …

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Anthropic’s Claude 3.7 Sonnet hybrid reasoning model is now available in AWS GovCloud (US-West). Claude 3.7 Sonnet offers advanced AI capabilities with both quick responses and extended, step-by-step thinking made visible to the user. This model has strong capabilities in coding and brings enhanced performance across various tasks, like instruction following, math, and physics. Anthropic’s Claude 3.7 Sonnet model is also FedRAMP High and Department of Defense Cloud Computing Security Requirements Guide (DoD CC SRG) Impact Level (IL) 4 and 5 approved within Amazon Bedrock in the AWS GovCloud (US) Regions.

Claude 3.7 Sonnet introduces a unique approach to AI reasoning by integrating it seamlessly with other capabilities. Unlike traditional models that separate quick responses from those requiring deeper thought, Claude 3.7 Sonnet allows users to toggle between standard and extended thinking modes. In standard mode, it functions as an upgraded version of Claude 3.5 Sonnet. In extended thinking mode, it employs self-reflection to achieve improved results across a wide range of tasks. Amazon Bedrock customers can adjust how long the model thinks, offering a flexible trade-off between speed and answer quality. Additionally, users can control the reasoning budget by specifying a token limit, enabling more precise cost management.

Claude 3.7 Sonnet is also available on Amazon Bedrock in the Europe (London), Europe (Frankfurt), Europe (Ireland), Europe (Paris), Europe (Stockholm), US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. To get started, visit the Amazon Bedrock console . Integrate it into your applications using the Amazon Bedrock API or SDK. For more information, see the AWS News Blog , Claude in Amazon Bedrock and the Amazon Bedrock documentation .

Amazon SageMaker HyperPod’s new observability capability allows customers to accelerate generative AI model development by providing comprehensive visibility across compute resources and model development tasks. It takes away the manual work of collecting hundreds of metrics from across the stack, visualizing the correlations between them, and restoring the generative AI model development task performance. HyperPod observability tracks task performance metrics in real-time, alerts customers when any of them deteriorate, and automatically remediates the root cause with customer-defined policies.

SageMaker HyperPod observability transforms how customers monitor and optimize their generative AI model development tasks. Through a unified dashboard pre-configured in Amazon Managed Grafana with the monitoring data automatically published to an Amazon Managed Prometheus workspace, customers can now see generative AI task performance metrics, resource utilization, and cluster health in a single view. This allows teams to quickly spot bottlenecks, prevent costly delays, and optimize compute resources. Customers can define automated alerts, derive use-case specific task metrics, and publish them to the unified dashboard with just a few clicks. By reducing troubleshooting time from days to minutes, this capability helps customers accelerate their path to production and maximize the return on their AI investments.

SageMaker HyperPod observability is available in all AWS Regions where SageMaker HyperPod is supported, except US West (N. California) and Asia Pacific (Melbourne). To learn more and get started, visit the blog, documentation , and SageMaker HyperPod webpage .