Monitoring vegetation health is crucial but challenging. Amazon SageMaker's geospatial capabilities offer a streamlined solution, mapping global vegetation in under 20 minutes.
MIT researchers propose Diffusion Forcing, a new training technique that combines next-token and full-sequence diffusion models for flexible, reliable sequence generation. This method enhances AI decision-making, improves video quality, and aids robots in completing tasks by predicting future steps with varying noise levels.
AI and fake newsreaders used by dictatorships to create disinformation videos. Actor Dan Dewhirst discusses unwitting participation in deepfake for authoritarian regime.
Generative AI transforms programming by offering intelligent assistance and automation. AWS and SailPoint collaborate to build a coding assistant using Anthropic’s technology on Amazon Bedrock to accelerate SaaS connector development. SailPoint specializes in enterprise identity security solutions, ensuring the right access to resources at the right times.
Google plans to power AI datacentres with nuclear reactors, raising economic, ethical, and environmental concerns. Elon Musk donated $75m to a pro-Trump group, highlighting his role in the 2024 US election.
DPG Media enhances video metadata with AI, improving content recommendations and consumer experience. AI-powered processes introduced in just 4 weeks for more automated annotation systems.
Bria AI introduces advanced image generation models in Amazon SageMaker JumpStart. Bria 2.3, 2.2 HD, and 2.3 Fast offer high-quality visuals for various industries, with options for photorealism, high-definition, and speed optimization.
Google orders six or seven small nuclear reactors from California’s Kairos Power to power AI. First reactor to be completed by 2030.
Harnessing generative AI and Amazon Bedrock, organizations can simplify, accelerate, and scale cloud migration assessments. By utilizing Amazon Bedrock Agents and Knowledge Bases, a migration assistant application rapidly generates plans, R-dispositions, and cost estimates for AWS migrations, significantly speeding up the planning phase.
Amazon SageMaker introduces SageMaker Core, a Python SDK for ML lifecycle management. This SDK simplifies tasks with object-oriented interfaces, replacing lengthy JSON dictionaries for a more intuitive developer experience.
Amazon SageMaker Ground Truth is a data labeling service by AWS for various data types, supporting generative AI. It offers a self-serve option and SageMaker Ground Truth Plus for managing projects efficiently.
Large Language Models (LLMs) are said to have ‘emergent properties’, but the definition varies. NLP researchers debate if these properties are learned or inherent, impacting research and public perception.
Florence-2 by Microsoft, a compact Vision-Language Model, excels in image annotation tasks with zero-shot capabilities. Pre-trained on FLD-5B, it supports tasks like captioning, object detection, segmentation, and OCR in a single model.
Amazon Bedrock Agents facilitate generative AI applications by orchestrating tasks, calling APIs, and applying fine-grained access controls. Verified Permissions integrates with agents to provide contextually aware access controls for secure application workflows.
Learn to generate new images from existing ones using diffusion models, like in SDEdit, which edits images based on text prompts. This technique simplifies the generation process and improves image reconstruction accuracy.