University College London (UCL) is opening a Space Enterprise Lab (SEL) in IDEALondon. This is the innovation hub and workspace run by UCL Engineering and WilbeLAB. And the new lab …

The post UCL opens London’s Space Enterprise Lab in IDEALondon appeared first on Electronics Weekly .

Nordic Semi is supporting Bluetooth Channel Sounding using its open source Android app. The nRF Toolbox app completes Nordic’s end-to-end Bluetooth Channel Sounding offering and is suitable for customers building …

The post Nordic Semi supports Bluetooth Channel Sounding appeared first on Electronics Weekly .

Dutch startup POLYN Technology has got tested silicon of its Neuromorphic Analogue Signal Processing (NASP) technology and is ready to ship. The NASP platform employs trained neural networks in the …

The post POLYN taking orders for neuromorphic analogue processor appeared first on Electronics Weekly .

A Peter Thiel-backed startup called Substrate is reported  to have raised $100m to take on ASML in the litho tool market using X-ray lithography. Substrate was founded in 2022 by …

The post Startup reported to have raised $100m to challenge ASML appeared first on Electronics Weekly .

The development of glass-based substrates for electronics in datacentres and high-performance computing is the aim of a consortium gathered by German research institute Fraunhofer IZM (Fraunhofer Institute for reliability and …

The post Glass substrates for advanced datacentre packaging appeared first on Electronics Weekly .

We are excited to announce the general availability of Amazon Nova Multimodal Embeddings, a state-of-the-art embedding model for agentic RAG and semantic search. It is the first unified embedding model that supports text, documents, images, video, and audio through a single model, to enable cross-modal retrieval with leading accuracy.

Managing and searching across different content types traditionally required multiple specialized embedding models, leading to complexity, higher costs, and data silos. Amazon Nova Multimodal Embeddings maps diverse content types into a unified space with leading accuracy, helping break down these silos. Developers can build cross-modal applications that search video archives using complex queries, find relevant product images based on customer questions, or search financial documentation that contain both infographics and text explanations, all using a single embedding model.

The model supports inputs of up to 8K tokens in length and video/audio segments up to 30 seconds, with the capability to segment larger files. Multiple output embedding dimensions allow organizations to balance accuracy and performance with storage and computation costs. Organizations can choose between synchronous API for near real-time applications and asynchronous API for efficient processing of larger files, enabling them to optimize for both latency-sensitive and high-volume workloads.

Amazon Nova Multimodal Embeddings is available in US East (N. Virginia) in Amazon Bedrock.

To learn more, read the AWS News blog and user guide . To get started with Nova Multimodal Embeddings in Amazon Bedrock, visit the Amazon Bedrock console .

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the Europe (London) region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% better performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i.

R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources.

R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, the highest among all comparable machines in on-premises and cloud environments, delivering exceptional performance for mission-critical SAP workloads.

To get started, sign in to the AWS Management Console . Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new R8i and R8i-flex instances visit the AWS News blog .

AWS Resource Explorer now supports 47 more resource types services including Amazon Bedrock, AWS Shield, and AWS Glue.

With this release, customers can now search for the following resource types in AWS Resource Explorer:

1. amplify:apps	26. profile:domains/object-types
2. aoss:collection	27. resiliencehub:app
3. app-integrations:application	28. route53-recovery-control:controlpanel/routingcontrol
4. appconfig:application/environment	29. route53-recovery-readiness:cell
5. appconfig:extensionassociation	30. s3:storage-lens-group
6. bedrock:agent-alias	31. s3express:bucket
7. cloudtrail:dashboard	32. sagemaker:monitoring-schedule
8. comprehend:flywheel	33. shield:protection
9. devicefarm:instanceprofile	34. shield:protection-group
10. directconnect:dx-gateway	35. ssm-incidents:response-plan
11. elasticloadbalancing:listener/gwy	36. verifiedpermissions:policy-store
12. elasticloadbalancing:loadbalancer/gwy	37. vpc-lattice:service
13. fsx:backup	38. vpc-lattice:service/listener
14. glue:dataQualityRuleset	39. vpc-lattice:servicenetwork
15. glue:registry	40. vpc-lattice:servicenetworkserviceassociation
16. iottwinmaker:workspace/sync-job	41. vpc-lattice:targetgroup
17. ivs:encoder-configuration	42. wafv2:ipset
18. ivs:ingest-configuration	43. wafv2:regexpatternset
19. ivs:playback-restriction-policy	44. wafv2:rulegroup
20. ivs:storage-configuration	45. wafv2:webacl
21. lex:bot	46. wisdom:content
22. mediatailor:vodSource	47. workspaces-web:portal
23. network-firewall:stateful-rulegroup
24. network-firewall:stateless-rulegroup
25. profile:domains/integrations

To view a complete list of all supported types, see the supported resource types  page.

Today, Amazon DocumentDB (with MongoDB compatibility) announces a new query planner, featuring advanced query optimization capabilities and improved performance. PlannerVersion 2.0 for Amazon DocumentDB (with MongoDB compatibility) 5.0 delivers up to 10x performance improvement over the prior version when using find and update operators with indexes. Performance improvements primarily come from using more optimal index plans and enabling index scan support for operators such as negation operators ($neq, $nin) and nested $elementMatch. PlannerVersion 2.0 queries run faster through better cost estimation techniques, optimized algorithms, and enhanced stability.

PlannerVersion 2.0 also simplifies query syntax. For example, you no longer need to provide explicit hints for $regex queries to utilize indexes.

PlannerVersion 2.0 is available in all AWS Regions where Amazon DocumentDB 5.0 is supported. You can enable it by simply modifying the corresponding parameter in your cluster parameter group. The change does not require a cluster restart or cause any downtime. If needed, you can easily revert to using the legacy query planner. To learn more about the new query planner, see Getting Started with New Query Planner .

AWS is announcing starting today, Amazon EC2 I7ie instances are now available in AWS GovCloud (US-West) region. Designed for large storage I/O intensive workloads, I7ie instances are powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I7ie instances offer up to 120TB local NVMe storage density (highest in the cloud) for storage optimized instances and offer up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, I7ie instances deliver up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances.

I7ie are high density storage optimized instances, ideal for workloads requiring fast local storage with high random read/write performance at very low latency consistency to access large data sets. These instances are available in 9 different virtual sizes and deliver up to 100Gbps of network bandwidth and 60Gbps of bandwidth for Amazon Elastic Block Store (EBS).

To learn more, visit the I7ie instances page .