A 2Gbyte Raspberry Pi 5 has been launched, priced at $50 compared with $60 for the 4Gbyte version. As well as reduced memory size, cost-saving comes from changing the main …

The post Lower cost Raspberry Pi 5 appeared first on Electronics Weekly .

Intel selling its one million shares in ARM, a 60% profit drop at SMIC, Richard LeCain becoming CTO at the UK Battery Industrialisation Centre, TSMC record, and Mitsubishi, Nissan and Honda teaming up for EVs…

The post Most Read – EV tie-up, Intel sells Arm, UKBIC CTO appeared first on Electronics Weekly .

The prospect of war with Iraq has lead to a postponement of semiconductor demand but not an absolute decline, according to Doug Andrey, principal analyst of the Semiconductor Industry Association …

The post War and Chips appeared first on Electronics Weekly .

The Royal Society Trivedi Science Book Prize shortlist has just been announced, featuring six recently published titles. We’re talking AI, Mars City, Bayes’ theorem, and death… The prestigious prize aims to …

The post Shortlist for 2024 Royal Society Trivedi Science Book Prize announced appeared first on Electronics Weekly .

Q5D Technologies has named Scott White (pictured) as Chair of the Board. Q5D is a robotics and software company that automates the manufacture of wiring harnesses, one of the last …

The post Scott White becomes Chair of Q5D appeared first on Electronics Weekly .

Amazon Connect now supports outbound campaign calling to Mexico in the US East (Virginia) and US West (Oregon) regions, making it easier to proactively communicate across voice, SMS, and email for use cases such as delivery notifications, marketing promotions, appointment reminders, or debt collection. Communication capabilities include features such as point-of-dial checks, calling controls for time of day, time zone, number of attempts per contact, and predictive dialing with integrated voicemail detection. A list management capability provided by Amazon Pinpoint can also be used to build customer journeys and multi-channel user contact experiences. Outbound campaigns can be enabled within the AWS Connect Console.

With Amazon Connect outbound campaigns, you only pay-as-you-go for the high-volume outbound service usage, associated telephony charges and any monthly target audience charges via Amazon Pinpoint. To learn more, visit our webpage .
 

Amazon QuickSight launches new capability for account administrators to use Customer Managed Keys (CMK) to encrypt and manage their QuickSight data source credentials and OAuth tokens. This feature is an extension to the QuickSight feature here .

Amazon QuickSight already has a service and console page in which customers can register CMKs with QuickSight. If a customer registers a default key with QuickSight, for newly created/updated data sources, we will encrypt the sensitive credential information using the customers default CMK. If a customer has not registered a CMK with QuickSight, then our service will continue to encrypt the information using a service owned KMS key.

This new feature is available in the following QuickSight regions: US East (N. Virginia and Ohio), US West (Oregon), Asia Pacific (Mumbai, Seoul, Singapore, Sydney and Tokyo), Europe (Frankfurt, Stockholm, Paris, Ireland and London), Canada (Central), South America (São Paulo), and the AWS GovCloud (US-West) Region. For further details, click here .

Amazon SageMaker Canvas now empowers enterprises to harness the full potential of their data by enabling support of petabyte-scale datasets. Starting today, you can interactively prepare large datasets, create end-to-end data flows and trigger AutoML experiments on petabytes – a substantial leap from the previous 5GB limit. With 50+ connectors, intuitive “chat with data” interface, and petabyte support, Canvas provides a scalable, low-code/no-code ML solution for handling real-world, enterprise use cases.

Starting today, Canvas empowers you with new sampling techniques like random and stratified, allowing samples up to 200K rows – a tenfold increase. This makes it easy to gather data quality insights and understand the impact of your data transformations interactively before processing your entire dataset, leveraging our new seamless integration with EMR Serverless. Canvas automatically scales processing over 5GB data across sampling, preparation, model building and inference to EMR Serverless, unlocking your data’s full predictive potential through an intuitive experience. EMR Serverless usage incurs additional EMR pricing costs.

The new petabyte support and improved interactive experience is available across all AWS Regions where SageMaker Canvas is offered.

To get started with no-code ML and data preparation of large datasets, enable “large data processing configuration” in your Canvas domain and user profile using our technical documentation , and learn how to use the new capability from the AWS Machine Learning blog . Existing users should update their SageMaker domain settings per the documentation, log out from the Canvas workspace, and log back in to access the latest version.
 

Amazon Bedrock Customers can now leverage Blueprints to jumpstart their use of Agents. Blueprints are a collection of pre-built templates optimized for popular customer use cases. These templates allow Amazon Bedrock customers to quickly experiment with agent-based applications without the need for complex configuration or lengthy development cycles. The templates are built on L3 CDK constructs to promote ease of use and composition.

Agent Blueprints are open-source templates hosted on the amazon-bedrock-samples GitHub repository. The pre-built templates come with sample actions, guardrails and Knowledge Bases, making it easy for customers to experiment and learn more about the capabilities of agents.

Blueprints are free to use, and customers only pay for the resources they create, such as the standard InvokeModel charges, when they deploy the Blueprint. For more information about Blueprints on Agents for Amazon Bedrock, please visit the documentation website .

^{8/20/2024: This post has been updated to reflect the correct links and repository hosting information.}

Starting today, you can build Graph Retrieval-Augmented Generation (GraphRAG) applications by enabling PropertyGraphIndex and combining knowledge graphs stored in Amazon Neptune with LlamaIndex, a popular open-source framework for building applications with Large Language Models (LLMs) such as those available in Amazon Bedrock. We are excited to introduce the capability to add natural language querying via the TextToCypher Retriever , knowledge graph retrieval via the Cypher Template Retriever and Knowledge Graph Enhanced RAG creation and querying via the supported extractors and retrievers.

Customers building Generative AI applications often use Retrieval-Augmented Generation (RAG) to ensure LLM output is relevant, accurate, and useful. While RAG enhances LLM capabilities by integrating specific domain knowledge without retraining the model, RAG applications may still face significant challenges when relevant information is dispersed across multiple sources or documents. Knowledge graphs consolidate and integrate an organization’s information, enabling GraphRAG to relate concepts and entities across the content. PropertyGraphIndex in GraphRAG applications allows efficient indexing and querying of node and relationship properties in knowledge graphs, enabling quick retrieval of relevant data based on specific attributes. With this launch, you can now effortlessly convert text into openCypher queries, making it easier to interact with and extract insights from your knowledge graphs. Additionally, you can utilize pre-defined templates for common openCypher queries, streamlining the query-building process and ensuring consistency across applications. Whether you are handling complex multi-hop retrievals or simple queries, PropertyGraphIndex significantly enhances the overall performance and capability of your GraphRAG solutions.

To get started visit the Amazon Neptune GraphStore documentation .