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.
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 lobbyists resist regulation due to bipartisan voter distrust; Governor Newsom opposes SB1047 for excluding smaller AI models, advocating for comprehensive regulations instead. Journalist Garrison Lovely questions the decision, highlighting the need for proper oversight in the AI sector.
Tech barons push for new technologies to solve climate crisis, but fixes already exist. Former Google CEO advocates for AI over climate goals, sparking debate on tech's role in addressing climate change.
AI chatbot impersonates boss; job seeker recounts job hunting struggles and perfect job application.
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.
Google orders six or seven small nuclear reactors from California’s Kairos Power to power AI. First reactor to be completed by 2030.
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.
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.
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.
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.
Linear Discriminant Analysis (LDA) helps identify critical data features in large datasets, distinguishing important features from less relevant ones. LDA is a supervised method that reduces dimensionality and explains failure patterns, making it ideal for industrial data analysis.
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.