ROHM has developed the “UCR10C Series” which claims to deliver the industry’s highest rated power for 2012-size shunt resistors (10mΩ to 100mΩ). The devices form a copper-based resistive element on …

Melexis has announced the MLX90520 – a reference inductive encoder IC with 22-bit resolution for rotary & linear movement. The MLX90520 fulfills the demand for high-accuracy, cost-effective position sensing in …

Fewer than 20 companies will be in production of humanoid robots in 2028, says Gartner, and less than 100 companies will progress beyond experimentation The five likely leaders are Unitree, …

Q5D, a manufacturer of robotic cells for product electrification, has introduced a laser-assisted selective metallisation process that enables high-precision, high-speed creation of conductive tracks onto large, complex three-dimensional (3D) substrates. …

The Nikkei is carrying an interesting piece about how TSMC, UMC and ASE are diversifying their supply chains locally. “For a small company, entering the chipmaking materials business is as …

Intel has an execution problem said its CEO at its Q4 results meeting which is something we have known for some time. “To be candid, it’s just our execution needs …

Panasonic Industry has announced its latest PIR (passive infrared) motion detector, a Flat Wide Detection Type (12 lens) sensor. It includes PaPIRs+ (Panasonic Passive Infrared Sensors+), the next-generation of Panasonic …

Today, AWS Deadline Cloud announces integration with Foundry Nuke CopyCat, allowing you to run machine learning training jobs for visual effects in the cloud. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design.

CopyCat learns visual effects, such as color corrections, beauty finishes, or deblurring, from a set of adjusted frames and automatically applies these adjustments across entire sequences. Instead of cleaning up frames one by one, you can fix a handful of representative frames and CopyCat will automatically apply these changes to the rest of your footage, saving you significant amounts of valuable time. With this integration, you can now train models by submitting CopyCat training jobs directly to your Deadline Cloud render farm. This gives you the ability to scale and run multiple training workloads in parallel while freeing up your artist workstations for creative work. You can monitor and track training jobs alongside other render jobs through the Deadline Cloud interface for one simple view across an entire project.

AWS Deadline Cloud with Nuke CopyCat integration is available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit our CopyCat integration user guide.

Amazon EC2 High Memory U7i instances are available in new regions. U7i-6tb.112xlarge instances are now available in AWS Asia Pacific (Thailand, Sydney, Singapore), Canada (Central), and AWS GovCloud (US-East), u7i-8tb.112xlarge instances are now available in AWS South America (Sao Paulo), and u7in-16tb.224xlarge instances are now available in AWS GovCloud (US-East). U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TiB of DDR5 memory, U7in-8tb instances offer 8TiB of DDR5 memory, and U7in-16tb instances offer 16TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.

U7i-6tb and U7i-8tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7in-16tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 200Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. 

To learn more about U7i instances, visit the High Memory instances page .

Today AWS announced enhanced scheduling orchestration to track AWS tagging events, self-service troubleshooting via informational resource tags, an optional EC2 insufficient-capacity retry flow using alternate instance types, and automatic creation of a dedicated EventBridge bus for scheduling events for Instance Scheduler (IS) on AWS. IS’s orchestration and fan-out mechanisms have been re-architected to enable customers to track AWS tagging events, allowing the product to more intelligently sequence and distribute scheduling operations – improving scaling performance and addressing cost-scaling concerns. The product now enables distributed cloud engineer personas to perform self-service troubleshooting in their spoke accounts through informational tags applied to their resources without relying on a central cloud administrator. In addition, an optional Insufficient Capacity Error Retry flow has been added to automatically retry failed start actions using alternate instance types when EC2 encounters insufficient capacity errors, ensuring workloads start reliably even in constrained Availability Zones or regions. Lastly, Instance Scheduler on AWS now automatically creates a dedicated EventBus for scheduling-related events, streamlining integrations and automation workflows.

This update improves Instance Scheduler’s scalability, reduces operational overhead, and increases workload reliability across complex customer environments. You can accelerate issue resolution and boost operational efficiency by empowering distributed cloud engineers to troubleshoot independently. You can enhance overall workload resilience by improving handling of EC2 capacity shortages and simplify integrations by streamlining event routing through the new EventBus to support more extensible automation workflows.

To learn more about Instance Scheduler, visit the Product Page or contact your AWS account team.