Salesforce’s AI Economist research wants to explore the equilibrium between equality and productivity
Economic theory is known to be constrained by a number of inefficiencies in its modeling. Salesforce researchers claim AI can help address that, leading to more robust economic policies. 2016 was a pivotal year for Salesforce. That was when the company acquired MetaMind, “an enterprise AI platform that worked in medical imaging and eCommerce images […]
Read More →Fair forecast? How 180 meteorologists are delivering ‘good enough’ weather data
Weather forecasts, too, are all about data and models these days. But balancing accuracy and viability is a fine act, especially on a global scale and when the stakes are high. What’s a good enough weather prediction? That’s a question most people probably don’t give much thought to, as the answer seems obvious — an […]
Read More →4 AI research trends everyone is (or will be) talking about
Using AI in the real world remains challenging in many ways. Organizations are struggling to attract and retain talent, build and deploy AI models, define and apply responsible AI practices, and understand and prepare for regulatory framework compliance.
Read More →You.com is taking on Google with AI, apps, privacy, and personalization
Award-winning AI research? Check. Startup and enterprise experience? Check. Venture capital and Mark Benioff backing? Check. Is that enough for Richard Socher’s you.com to take on Google? Are you happy with Google search? Regardless of how you answer this question, chances are you still use it. With the notable exceptions of China and Russia, where […]
Read More →How to apply decision intelligence to automate decision-making
Decision intelligence is one of those terms that sound vaguely familiar, even if you’ve never come across it before. Like many category-defining terms, it can mean different things to different people. This is a feature category-defining terms either have by design, or acquire through extensive use.
Read More →What development of LLM best practices means for the enterprise
Large language models (LLMs) and multimodal AI are the cutting edge of AI innovation, with applications trickling down to the enterprise from the ‘Googles’ and ‘OpenAIs’ of the world. We are currently seeing a barrage of LLM and multimodal AI model announcements, as well as commercial applications created around them.
Read More →Resisting the urge to be impressed, knowing what we talk about when we talk about AI
A brief history of recent advances in AI, what they mean, and why you should care — or not.
Read More →Managing disaster and disruption with AI, one tree at a time
Ingesting loads of fine-grained data helps, but it's not enough to make fine-grained predictions. You need domain expertise too, and that's what AiDash is applying for its Disaster and Disruption Management System.
Read More →Could machine learning and operations research lift each other up?
Is deep learning really going to be able to do everything?
Read More →The EU AI Act could help get to Trustworthy AI, according to the Mozilla Foundation
The EU AI Act may turn out to be one of the most influential legal frameworks in the world. Here is how, and why, the Mozilla Foundation is engaging with it, and how you can get involved too
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