Mit Passwort als Kopierschutz: Der Klassiker Battle Isle von Blue Byte zeigt, welche Tiefe schon früh in der Rundenstrategie steckte. Von Olaf Bleich und Benedikt Plass-Fleßenkämper (Battle Isle, Spiele)
Quelle: Golem
Ein Web-Installer macht Graphene OS auch für Nutzer mit wenigen Vorkenntnissen zugänglich. Als Option steht sogar der Google Play Store zur Verfügung – verpackt in einer Sandbox. Eine Anleitung von Stefan Beiersmann (GrapheneOS, Android)
Quelle: Golem
DeepL erwartet weiter keinen Gewinn. Doch der Cash Flow soll im Jahr 2026 stark ansteigen – wodurch, ist unklar. (DeepL, Börse)
Quelle: Golem
Ab Mitte April erhebt Amazon einen Treibstoffzuschlag von 3,5 Prozent auf Fulfillment-Gebühren – vorerst nur in Nordamerika. (Amazon, Wirtschaft)
Quelle: Golem
Der Erstflug der Rakete von Space Pioneer ist missglückt. Langfristig strebt der private Startanbieter ein wiederverwendbares System an. (Rakete, Raumfahrt)
Quelle: Golem
Im Gegenzug für die Beteiligung am geplanten Börsengang von SpaceX stellt Elon Musk Forderungen an Banken, Berater und Anwälte. (SpaceX, Börse)
Quelle: Golem
Wer Openclaw bisher über ein Claude-Abo nutzte, zahlt ab sofort extra: Anthropic zieht eine Grenze zwischen eigenen Produkten und Drittanbieter-Tools. (Anthropic, KI)
Quelle: Golem
Mit einem für chinesische Verhältnisse ungewöhnlich hohen Gehalt will UBTech die KI-Forschung für seine humanoiden Roboter vorantreiben. (Roboter, KI)
Quelle: Golem
Amazon Bedrock Guardrails now enables centralized enforcement of safety controls across all AWS accounts within an organization through cross-account safeguards. Amazon Bedrock Guardrails offers configurable safeguards that help block up to 88% of harmful multimodal content from both input prompts and model responses, while filtering hallucinated responses from foundation models. Central security teams and administrators can now automatically implement these controls for all foundation model interactions in Amazon Bedrock across their organization, eliminating the operational overhead of manually configuring guardrails for each account. With cross-account safeguards, you can specify a guardrail ID from your management account in a new Amazon Bedrock policy that automatically enforces configured safeguards across all member entities including organizational units (OUs) and individual accounts for all model invocations with Amazon Bedrock. This enables operational efficiency through automatic enforcement from a single control point in your management account. You can implement organization-level enforcement for uniform baseline protection, account-level controls for specific departmental requirements, and application-specific safeguards that complement organizational policies, with the union of multiple guardrails enforced during model inference calls. Organizational safeguards in Amazon Bedrock Guardrails is now available in all AWS commercial and GovCloud regions where Bedrock Guardrails is supported. You can access this capability through the AWS management console or using the supported APIs. To learn more about implementing centralized guardrails enforcement across your organization, read the News blog, visit the Amazon Bedrock Guardrails documentation, and explore the Amazon Bedrock Guardrails service page.
Quelle: aws.amazon.com
Amazon SageMaker Data Agent now supports interactive charting, SQL analytics on Snowflake data sources, and materialized view management in Amazon SageMaker Unified Studio notebooks. Data Agent now provides a complete analytics workflow that goes beyond code generation, enabling you to explore AWS and external data sources, visualize results, and optimize query performance, all with natural language prompts.
You can ask “plot monthly revenue trends by region for 2025″ and Data Agent generates an interactive chart directly in your notebook, where you can hover over data points, and modify without writing code. When your analysis spans AWS and Snowflake, you can query Snowflake tables through external connections and join them with your AWS Glue Data Catalog data in a single prompt. Additionally, you can ask “analyze my notebook and suggest which queries would benefit from materialized views” and the agent recommends optimizations based on your query patterns, creates the views, and sets refresh schedules.
To get started, open a notebook in your SageMaker Unified Studio project and use the Data Agent chat panel. These features are available in all AWS Regions where Amazon SageMaker Unified Studio is supported. To learn more, see SageMaker Data Agent in the SageMaker Unified Studio User Guide.
Quelle: aws.amazon.com
