Tag: video
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Slashdot: T-Mobile is Bringing Low-Latency Tech To 5G For the First Time
Source URL: https://tech.slashdot.org/story/25/07/21/1447258/t-mobile-is-bringing-low-latency-tech-to-5g-for-the-first-time?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: T-Mobile is Bringing Low-Latency Tech To 5G For the First Time Feedly Summary: AI Summary and Description: Yes Summary: T-Mobile’s implementation of the L4S standard in its 5G Advanced network represents a significant advancement in reducing latency and improving performance for real-time applications. This milestone is particularly relevant for…
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OpenAI : Invideo AI uses OpenAI models to create videos 10x faster
Source URL: https://openai.com/index/invideo-ai Source: OpenAI Title: Invideo AI uses OpenAI models to create videos 10x faster Feedly Summary: Invideo AI uses OpenAI’s GPT-4.1, gpt-image-1, and text-to-speech models to transform creative ideas into professional videos in minutes. AI Summary and Description: Yes Summary: The text discusses the capabilities of InVideo AI, which leverages OpenAI’s advanced language…
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The Register: AWS previews AgentCore to jumpstart enterprise AI agents
Source URL: https://www.theregister.com/2025/07/17/aws_agentcore_ai/ Source: The Register Title: AWS previews AgentCore to jumpstart enterprise AI agents Feedly Summary: Running on Amazon Bedrock, it aims to pave the path from prototype to production Video Amazon Web Services (AWS) on Wednesday previewed a service called Bedrock AgentCore to help organizations put AI agents into business-ready production.… AI Summary…
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AWS News Blog: Announcing Amazon Nova customization in Amazon SageMaker AI
Source URL: https://aws.amazon.com/blogs/aws/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/ Source: AWS News Blog Title: Announcing Amazon Nova customization in Amazon SageMaker AI Feedly Summary: AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across…