Intact Financial Corporation implements AI-powered Call Quality (CQ) solution using Amazon Transcribe to handle 1,500% more calls, reduce agent handling time by 10%, and gain valuable customer insights efficiently. Amazon Transcribe's deep learning capabilities and scalability were key factors in Intact's decision, allowing for accurate speech-to-text transcription and versatile post-call analy...
Ambience Healthcare, founded by Mike Ng MBA ’16 and Nikhil Buduma ’17, offers an AI-powered platform embedded in EHRs to automate tasks for clinicians, saving 2-3 hours per day on documentation and improving patient care. Used in 40+ institutions like UCSF Health, Ambience helps clinicians focus on patients, not paperwork, leading to lower burnout and better relationships.
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.
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.
Google orders six or seven small nuclear reactors from California’s Kairos Power to power AI. First reactor to be completed by 2030.
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.
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.
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.
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.
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.
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.
Dead animals at Museum of Zoology will share stories through AI on visitors' phones. American cockroach, dodo remains among creatures talking for a month.
Learn how to port Rust projects to nostd environments for embedded devices, overcoming unique challenges and limitations. Follow nine rules to simplify the process, including using Cargo features and preallocated data types.