Intel’s Q1 revenue was up 9% y-o-y at  $12.7 billion. Its forecast for Q2 was revenue of $12.5 billion to $13.5 billion. The company reported a net loss of $400 …

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The radar module market is projected to reach close to $36.5 billion by 2029, exhibiting a 5% CAGR from the $26.7 billion in 2023, says Yole Developpement. The automotive sector …

The post Radar module market to have 5% CAGR 2023-29 appeared first on Electronics Weekly .

Allen Wu (pictured), the sacked CEO of Arm China who wouldn’t leave, has set up a RISC-V company called Zhongzhi Chip, according to TrendForce, citing WeChat. Zhongzhi Chip is said …

The post Arm China’s ex-CEO sets up RISC-V company appeared first on Electronics Weekly .

Japanese telco NTT has used machine learning to develop AI which predicts damage to outdoor communications infrastructure during disasters such as earthquakes or deluges. Resolution is as fine as individual …

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Scientist in Korea are making fast p-channel amorphous thin-film transistors. “Research progress on p-type amorphous semiconductors has been notably sluggish,” according to the Pohang University of Science and Technology (PosTech). …

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Starting today, AWS Global Accelerator supports application endpoints in the AWS Canada West (Calgary) Region, expanding the number of supported AWS Regions to twenty-nine. 

Foundation model evaluations with SageMaker Clarify is now generally available. This capability helps data scientists and machine learning engineers evaluate, compare, and select foundation models based on a variety of criteria across different tasks within minutes. SageMaker customers select between hundreds of foundation models to power their generative AI applications. They evaluate and compare these models during model selection and model customization to determine the optimal fit for their use case. This process can takes days identifying relevant benchmarks, configuring evaluation tools, and conducting evaluation on each model. The results obtained are frequently challenging to apply to their specific use case. SageMaker Clarify offers automated and human evaluations with interpretable results. Customers can use this new capability in Amazon SageMaker Studio to evaluate SageMaker-hosted LLMs or use fmeval to evaluate any LLMs. Get started by utilizing curated prompt datasets tailored for tasks like text generation, summarization, question answering, and classification. Customize inference parameters and prompt templates and compare results of different models settings. Extend evaluations with custom prompt datasets and metrics. Human evaluations enable customers to assess more subjective aspects like creativity and style. Following each evaluation, customers receive a comprehensive report, complete with visualizations and examples, and integrate them into their SageMaker ML workflows. This capability is available in all AWS Regions, except AWS GovCloud (US) Regions, China Regions, Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Canada West (Calgary), Europe (Zurich), Europe (Stockholm), Europe (Spain), Israel (Tel Aviv), Middle East (UAE). For additional details, see our product page, documentation and pricing page.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL, MySQL, and MariaDB now supports AWS Graviton2-based M6gd database instances in Asia Pacific (Hyderabad), Europe (Spain, Zurich), and Middle East (UAE) regions. With this regional expansion, M6gd instances are now available for Amazon RDS for PostgreSQL, MySQL, and MariaDB in 25 regions: US East (Ohio, N. Virginia), US West (Oregon), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Melbourne, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Canada (Calgary, Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), and Middle East (Bahrain, UAE) regions. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. M6gd database instances are available on Amazon RDS for PostgreSQL version 16.1 and higher, 15.2 and higher, 14.5 and higher, and 13.4 and higher. M6gd and R6gd database instances are available on Amazon RDS for MySQL version 8.0.32 and higher, and Amazon RDS for MariaDB version 10.11.4 and higher, 10.6.13 and higher, 10.5.20 and higher, and 10.4.29 and higher. Get started by creating a fully managed M6gd database instance using the Amazon RDS Management Console. For more details, refer to the Amazon RDS User Guide.

Amazon VPC announces a network interface setting to dynamically remove and add an auto assigned public IPv4 address on EC2 instances. With this capability, customers that no longer require an auto assigned public IPv4 address on their EC2 instance can remove the public IPv4 address, and if needed attach back a new public IPv4 address, by modifying the public IP setting on the network interface. Before today, once a public IPv4 address was auto assigned to EC2 instance it was not possible to remove it. It remained on the network interface for the lifetime of the EC2 instance. The public IP setting on the network interface makes it easier for customers to be public IPv4 efficient and reduce public IPv4 cost. Customers that no longer need the auto assigned public IPv4 or are migrating to using private IPv4 address for SSH using EC2 instance connect endpoint can simply remove the auto assigned public IPv4 address, instead of recreating their applications on a new EC2 instance with no auto assigned public IPv4 address. This feature is available in all AWS commercial and the AWS GovCloud (US) Regions at no additional cost. For more information, please visit the VPC user guide.

Today, AWS AppFabric announces support for SentinelOne Singularity Cloud as data source and compatible security destination. Starting now, IT administrators and security analysts can use AppFabric to quickly integrate with 27 supported SaaS applications, aggregate enriched and normalized SaaS audit logs, and audit end-user access across their SaaS apps.