What's new this week?
AI adoption accelerates. AI-powered drive-thrus. NATO's focus on AI. AI's progress in tackling racial inequality, healthcare issues, enzyme research, and supply chain disruptions.
- According to Deloitte's State of AI in the Enterprise report, more and more companies are adopting AI-powered solutions and making AI the core of their business strategy.
- AI drive-thrus are coming. McDonald's is selling its McD Tech Labs to IBM in order to "further accelerate" work on its automated voice ordering systems. Fewer humans, more robots.
- NATO is finalizing its strategy on AI. The bloc will adopt an 18-point AI strategy and launch a “future-proofing” fund with the goal of investing around $1 billion.
- The UK plans to deploy Artificial intelligence to tackle racial inequalities in the NHS under government plans to “level up” healthcare and give broader access to minorities.
- Medtronic, the world’s largest medical device company, increases its investments into AI to accelerate its adoption and raise trust in AI-generated medical advice.
- Researchers from the HHU Institute of Computational Cell Biology in Stockholm have found a way to use AI for the Michaelis constants, to make it easier to quantify enzyme activity.
- 81% of U.S. online retailers are increasing their investments in artificial intelligence systems to help manage operations and increase sales in preparation to the holiday season.
- Mage, a developer of an AI tool for product developers to build and integrate AI into apps, raises $6.3M in seed funding led by Gradient Ventures.
- Hex, a collaborative data workspace for data scientists, brings in $16M in Series A funding led by Tomasz Tunguz from Redpoint Ventures.
- Abacus.ai, a company building an AI platform that simplifies ML model creation, raises $50M in Series C led by Tiger Global; announced support of CV use cases.
- Resistant AI, a developer of AI-powered anti-fraud solution, closes $16.6M in Series A funding led by GV (Google Ventures) and existing investors.
- Deci, a Tel Aviv-based startup for building usable models to run AI algorithms, picks up a Series A of $21M. Insight Partners and existing investors lead the round.
Introduction to Distributed Training in PyTorch
This tutorial will introduce you to the basics of distributed training in PyTorch. Note that this is the last of article in a 3-part tutorial on intermediate PyTorch techniques for CV/DL practitioners.
Deploying Serverless spaCy Transformer Model with AWS Lambda
In this step-by-step guide, you'll learn how to deploy NER transformer model serverless with Huggingface and AWS Lambda to run predictions. Four major steps.
Reflections on Foundation Models
In this blog post, The Gradient team talk through why foundation models are important and clarify several points in relation to the community response to the original report.
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