Tag: artificial intelligence
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Microsoft’s 2.5 billion GBP Investment in UK AI: Catalyst for Innovation and Growth
Microsoft has made an announcement on a big investment in the artificial intelligence (AI) infrastructure of the United Kingdom. The company's objective is to...
Stability AI Faces Turmoil in the Talent Exodus
Stability AI, the British artificial intelligence powerhouse celebrated for its Stable Diffusion image generator, finds itself at a crossroads. This development report suggests that...
Harnessing the Power of LLMs and AI Tools for Effortless Project Tracking
In the fast-paced world of project management, staying ahead of timelines and ensuring seamless collaboration among team members is crucial. With the advent of...
Perpetual Medicines Completes $8 Million Seed Round to Advance Integrated Computational Design-Synthesis Platform for Peptide Drug Discovery
Company Announces Core Leadership Team, Led by CEO, Kerry L. Blanchard, MD, PhD
SHANGHAI & BOSTON–(BUSINESS WIRE)–Perpetual Medicines today announced it has closed an $8...
New – Code Editor, based on Code-OSS VS Code Open Source now available in Amazon SageMaker Studio | Amazon Web Services
Today, we are excited to announce support for Code Editor, a new integrated development environment (IDE) option in Amazon SageMaker Studio. Code Editor is...
Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1 | Amazon Web Services
As democratization of foundation models (FMs) becomes more prevalent and demand for AI-augmented services increases, software as a service (SaaS) providers are looking to...
Reduce model deployment costs by 50% on average using the latest features of Amazon SageMaker | Amazon Web Services
As organizations deploy models to production, they are constantly looking for ways to optimize the performance of their foundation models (FMs) running on the...
Minimize real-time inference latency by using Amazon SageMaker routing strategies | Amazon Web Services
Amazon SageMaker makes it straightforward to deploy machine learning (ML) models for real-time inference and offers a broad selection of ML instances spanning CPUs...
Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard | Amazon Web Services
Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business...
Introducing Amazon SageMaker HyperPod to train foundation models at scale | Amazon Web Services
Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast...
Exploring the Influence of Ethical AI on Future Business Growth
Now that the novelty of artificial intelligence has worn off, people are focusing on its responsible use. Ethical algorithms have become a chief concern...
8 Tips on Leveraging AI Tools Without Compromising Security
COMMENTARYAdvances in artificial intelligence (AI) and machine learning (ML) technologies continue to receive significant news coverage for the potential benefits and troubling dangers they...
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