SimInsights announced general availability (GA) of HyperSkill, a no-code 3D simulation software for Virtual and Augmented Reality and Artificial Intelligence powered training. HyperSkill was created to enable instructional designers and subject matter experts to author immersive, interactive and intelligent training content without having to learn programming or technical skills in machine learning and artificial intelligence. HyperSkill enables non-programmers to author VR/AR/AI-powered content, automatically optimize it and publish it across many devices and audiences and collect and visualize experience data for assessment and evaluation. HyperSkill has been used by customers in healthcare, manufacturing and education and has been developed with their close collaboration and feedback. HyperSkill includes:

• No-code authoring: Faster and cheaper to author compared to programming with 3D game engines
• Reusable repository: Growing public repository of XR-ready 3D assets, including virtual environments, virtual persons and virtual objects
• AI-Powered: Natural Language Processing (NLP) and Computer Vision to simplify authoring, enhance experiences and unlock new use cases
• Cross Platform: Author once, deliver everywhere, including emerging AR/VR headsets as well as web, desktop and mobile platforms.
• Multiplayer: Enables synchronous learning scenarios, including collaborative and instructor-led training.

HyperSkill is a SaaS (Software as a Service) product available for a free trial.

https://siminsights.com/hyperskill/

Deepnote, an early-stage startup backed by Accel and Index Ventures, launched version 1.0, opening up to the general availability of collaborative data science notebooks to data teams. Data team efficacy relies on the process of access to, exploration of, and collaboration around data—for example, when an organization needs to make a data-informed decision, it will rely on data teams to explore datasets and share insights that lead to action. This process is siloed within a single department, findings are inconsistent, and insights quickly become out of date. Deepnote makes data collaboration a reality improving three pain points of traditional data science notebooks:

1. Collaboration: Sharing analysis and collaboration is as easy as sending a link because everything is hosted in a fully-managed cloud environment. Analysis is done in real-time with multiplayer mode if needed. And everything is organized and hosted in a single place.
2. Connectivity: With dozens of native integrations to tools in the modern data stack—Snowflake, BigQuery, Postgres, S3, GitHub—data teams can seamlessly connect to the tools they’re already using.
3. Productivity: Underserved data analysts and scientists are now equipped with productivity features—reproducibility, autocomplete, scheduling, version control—to do better work in less time.

https://deepnote.com/