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IBM and Microsoft work together to bring Maximo Application Suite onto Azure

IBM Journey to AI blog

Contact us today to embark on a secure and future-proof path for your business. Learn more about Maximo ManagePlus Contact us today to get started with your business The post IBM and Microsoft work together to bring Maximo Application Suite onto Azure appeared first on IBM Blog.

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Extract phone call insights with LLMs in Python

AssemblyAI

CONTACT INFORMATION: Name: Lindstrom, Kenny Phone number: 610-265-1715 Getting Started To follow along with this tutorial, you’ll need to have Python installed and an AssemblyAI API key, which you can get here. Finally, provide the caller's contact information. Do not include a preamble."

Python 279
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US Chief Justice: AI won’t replace judges but will ‘transform our work’

AI News

In the Federal Judiciary’s year-end report , US Chief Justice John Roberts addressed the potential impact of AI on the judicial system. The post US Chief Justice: AI won’t replace judges but will ‘transform our work’ appeared first on AI News.

Big Data 303
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“Brainless” Soft Robot Navigates Complex Environments in Robotics Breakthrough

Unite.AI

When they are set on a surface warmer than the surrounding air, specifically above 55 degrees Celsius (131 degrees Fahrenheit), the ribbon in contact with the surface contracts while the exposed part remains unchanged. This new breed of soft robots employs ribbon-like liquid crystal elastomers. That’s the effect of its asymmetrical design.”

Robotics 278
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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PLAN-SEQ-LEARN: A Machine Learning Method that Integrates the Long-Horizon Reasoning Capabilities of Language Models with the Dexterity of Learned Reinforcement Learning RL Policies

Marktechpost

Robotic manipulation tasks often require executing a series of finely tuned behaviors, and current robotic systems struggle with the long-horizon planning needed for these tasks due to limitations in low-level control and interaction, particularly in dynamic or contact-rich environments. Also, don’t forget to follow us on Twitter.

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Announcing our $50M Series C to build superhuman Speech AI models

AssemblyAI

Or podcast and video data on the internet, phone calls into a small business or large contact centers, or even the ability to interact with machines using your voice. This new capital will support our ambitious research plans, new model development, training compute, market expansion, as well as help us build our team.