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FarmSense uses sensors and machine learning to bug-proof crops

TechCrunch

The company creates optical sensors and novel classification systems based on machine learning algorithms to identify and track insects in real time. Keogh explained how Russian spies would use lasers, poised on glass window panes, to pick up on vibrations caused by people’s voices. The key here: real-time information.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

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Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

Cloudera

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . The post Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI appeared first on Cloudera Blog.

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Good old-fashioned AI remains viable in spite of the rise of LLMs

TechCrunch

Remember a year ago, all the way back to last November before we knew about ChatGPT, when machine learning was all about building models to solve for a single task like loan approvals or fraud protection? All rights reserved.

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Your CEO has little idea who IT is or what IT does

CIO

laments the widely held erroneous perception that IT is a technology drive-thru where executivesorder into a speaker and drive around to the window expecting to be handed the finished product. Steven Narvaez, IT consultant and former CIO of the City of Deltona, Fla.,

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ML.NET: A Robust Framework for Implementing Machine Learning in.NET Environments

Exadel

Python is irreplaceable for Machine Learning, but running Python in production can be a problem if other parts of the system are written using C#. ML.NET is a Machine Learning library for C# that helps deliver Machine Learning features in a.NET environment more quickly. That is where ML.NET can help.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. Access to Amazon Bedrock foundation models is not granted by default. Choose Create user.