research!rsc: Go Data Structures

research!rsc: Go Data Structures

When explaining Go to new programmers, I’ve found that it often helps to explain what Go values look like in memory, to build the right intuition about which operations are expensive and which are not. This post is about basic types, structs, arrays, and slices. Basic types Let’s start with some simple examples: The variable…

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Error assessment and mitigation of an innovative data acquisition front end

Error assessment and mitigation of an innovative data acquisition front end

The recent design idea (DI) “Negative time-constant and PWM program a versatile ADC front end” disclosed an inventive programmable gain amplifier with integral samples-and-holds. The circuit schematic from the DI appears in Figure 1. Briefly, a PWM signal controls the switches shown. In the X0 positions, a differential signal connected to the inputs of op…

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A beginner’s guide to power of IQ data and beauty of negative frequencies – Part 2

A beginner’s guide to power of IQ data and beauty of negative frequencies – Part 2

Introduction and editor’s note This is a two-part series where DI authors Damian and Phoenix Bonicatto explore the IQ signal representation and negative frequencies. Part 1 explains the commonly used SDR IQ signal representation and negative frequencies without the complexity of math. This final part (Part 2) presents a device that allows you to play…

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This AI Paper Explores Reinforced Learning and Process Reward Models: Advancing LLM Reasoning with Scalable Data and Test-Time Scaling

This AI Paper Explores Reinforced Learning and Process Reward Models: Advancing LLM Reasoning with Scalable Data and Test-Time Scaling

Scaling the size of large language models (LLMs) and their training data have now opened up emergent capabilities that allow these models to perform highly structured reasoning, logical deductions, and abstract thought. These are not incremental improvements over previous tools but mark the journey toward reaching Artificial general intelligence (AGI). Training LLMs to reason well…

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A beginner’s guide to power of IQ data and beauty of negative frequencies – Part 1

A beginner’s guide to power of IQ data and beauty of negative frequencies – Part 1

Editor’s Note: This is a two-part series where DI authors Damian and Phoenix Bonicatto explore IQ signal representation and negative frequencies to ease the understanding and development of SDRs. Part 1 explains the commonly used SDR IQ signal representation and negative frequencies without the complexity of math. Part 2 (to be published) presents a device…

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Breaking the data bottleneck: Salesforce’s ProVision speeds multimodal AI training with image scene graphs

Breaking the data bottleneck: Salesforce’s ProVision speeds multimodal AI training with image scene graphs

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As enterprises around the world double down on their AI projects, the availability of high-quality training data has become a major bottleneck. While the public web has largely been exhausted as a data source, major players…

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