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Computing

ORGANIZATIONS. SHAPING THE INDUSTRY.

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University of Michigan

Higher Education

Work together. Create smart machines. Serve society. University of Michigan’s Robotics Institute aims to create a collaborative c...

40 Posts

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Altair

Simulation

A global tech company providing software & cloud solutions in the areas of ...

16 Posts

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Keysight Test and Measurements

Test and Measurement equipment

Keysight Technologies, Inc. (NYSE: KEYS) is a leading technology company th...

11 Posts

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MistyWest

Engineering Design

An engineering design consultancy accelerating the world's transition to a ...

7 Posts

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Qoitech

Test & Measurement, Energy optimization, Battery

Disruptive tools and solutions for energy optimization of battery-driven an...

6 Posts

Latest Posts

Fine-tuning large language models adapts pre-trained models to specific tasks or domains using tailored datasets, while Retrieval-Augmented Generation (RAG) combines retrieval systems with generative models to dynamically incorporate external, up-to-date knowledge into outputs.

RAG vs Fine-Tuning: Differences, Benefits, and Use Cases Explained

EPFL researchers have combined virtual reality, non-invasive brain stimulation and advanced brain imaging techniques to improve spatial navigation in healthy participants. The study is a first step in addressing dementia in an aging population without medication or surgery.

Neurotechnology boosts memory without surgery

Edge AI Technology Report: Generative AI Edition Chapter 1. Generative AI's demand for real-time insights is driving a shift from cloud to edge computing, enabling faster, local processing on devices and reducing cloud latency and bandwidth constraints.

Leveraging Edge Computing for Generative AI