By leveraging rapid advances in generative AI, Amazon Lex now offers simpler bot building along with more capable, human-like conversational experiences.
The ability to squeeze generative AI into the recommendation process promises more custom-fit, engaging experiences that feel like they were created just for you.
Transcribe now promises 20-50% increases in accuracy for most languages and even bigger jumps of 30-70% for challenging telephony speech.
The Russian president expressed concerns about the Western monopoly over AI, particularly in terms of cultural representation.
MONAI is comprehensive suite of enterprise-grade containers, AI models, and cloud APIs based on the open-source Project MONAI.
The goal is to significantly enhance AI-powered knowledge work and elevate user productivity through advanced AI capabilities.
Google is still fine-tuning the core, large-scale Gemini model to achieve the performance needed to take on GPT-4.
Building on their prior work in image and video generation, these models showcase impressive capabilities in high-quality, diffusion-based text-to-video generation and controlled image editing using text instructions.
Lyria represents a massive leap forward for AI music creation. Unlike other AI music generation models that struggle with maintaining musical continuity, Lyria excels in generating high-quality music complete with instrumentals and vocals, offering users refined control over style and performance.
Users can upload a few images and video samples of a person to train a custom avatar. The AI system precisely replicates vocal intonations and lip movements to match the individual's voice and likeness with remarkable fidelity.
This vertical integration allows Microsoft cloud to run most efficiently while giving customers more infrastructure choice.
Martian says Model Router achieved higher scores than GPT-4 on OpenAI's model evaluation benchmarks by optimizing across multiple models.
Microsoft Team users can now use Copilot to analyze spend patterns, set real-time alerts, and take actions like issuing new cards by using natural language.
Sunnyside takes a unique approach in the alcohol health space by helping people manage their drinking without pressuring them to quit entirely.
A key goal of Windows AI Studio is to simplify the process of developing generative AI applications. The studio provides an end-to-end guided workspace with tools for customizing and fine-tuning small language models on developers' own data.
The suite allows users to easily tailor Copilot for Microsoft 365 to their unique enterprise scenarios, quickly develop, test, and publish both standalone copilots and custom GPTs, and effectively manage and secure these customizations with appropriate access, data, user controls, and analytics.
The concept behind CarePods is to offer an immersive experience where patients are in control of their health journey.
Unlike traditional methods that rely on complex physical equations and substantial computational resources, GraphCast uses data-driven predictions, resulting in not only enhanced accuracy but also remarkable efficiency.
Watsonx.governance is part of the broader IBM watsonx AI and data platform, which includes AI assistants and tools for AI builders and data management.
Process Copilot allows users to have natural conversations with their data. Its natural language processing understands queries and recommends relevant follow-up questions and insights.
Atlas' platform enables developers to produce detailed 3D models from reference images and text, significantly reducing the time and resources typically required for such endeavors.
Notion Q&A uses AI to quickly surface relevant answers using data within a user's workspace.
The lack of clear regulations around emerging areas like synthetic media leaves platforms to navigate blurred lines, codifying their own makeshift rules to fill the legal void.
To drive adoption, the agenda suggests governments implement AI to improve public services while assisting small businesses and traditional industries in integrating AI. It argues that regulations should be calibrated to enable, not impede, AI adoption across sectors.
The new features allow Vertex AI customers to specify the geographic region where records processed by Vertex AI will be stored.