Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments

Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments

[Submitted on 2 Apr 2024] View a PDF of the paper titled Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments, by Ibne Farabi Shihab and 3 other authors View PDF Abstract:This study aims to compare the effectiveness of a robust ensemble model with the state-of-the-art ONE-PEACE Large Language Model (LLM) for accurate detection of sidewalks. Accurate sidewalk detection is crucial in improving road safety and urban planning. The study evaluated the model's performance on Cityscapes, Ade20k, and the Boston Dataset. The results showed that the ensemble model performed better than the individual models,…
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Why the National Spelling Bee is more vital than ever in the age of AI

A question that I perennially encounter when I tell people that I am a professional spelling bee tutor is: “Why bother with spelling bees when we have spell check?” It’s an eminently understandable response, especially when it comes from people who have never watched a bee. Cell phones and computers have no problem storing the entire corpus of the English dictionary and consulting it at a moment’s notice. Like all games and sports, spelling bees aren’t strictly speaking necessary or useful – at least not in an immediately practical way. Yet questions about spelling bees’ utility (or lack thereof) miss…
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Data Augmentation Method Utilizing Template Sentences for Variable Definition Extraction

Data Augmentation Method Utilizing Template Sentences for Variable Definition Extraction

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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The Ninja Creami ice cream maker is down to $149 for Memorial Day

The Ninja Creami ice cream maker is down to $149 for Memorial Day

It’s officially ice cream season, and if you’ve been wanting to try your hand at making the dessert yourself, Walmart has a deal you might be interested in. The Ninja Creami ice cream maker is $50 off right now, bringing the price down to $149 — the best price we’ve seen for it all year. The Creami is designed for ease of use and gives you control over the texture of the finished product, so you can make ice cream, sorbet, milkshakes and other kinds of frozen treats.NinjaThe deal applies to the Ninja Creami model with 5 one-touch progams: Ice…
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We found over 300 million young people had experienced online sexual abuse and exploitation over the course of our meta-study

We found over 300 million young people had experienced online sexual abuse and exploitation over the course of our meta-study

It takes a lot to shock Kelvin Lay. My friend and colleague was responsible for setting up Africa’s first dedicated child exploitation and human trafficking units, and for many years he was a senior investigating officer for the Child Exploitation Online Protection Centre at the UK’s National Crime Agency, specialising in extra territorial prosecutions on child exploitation across the globe. But what happened when he recently volunteered for a demonstration of cutting-edge identification software left him speechless. Within seconds of being fed with an image of how Lay looks today, the AI app sourced a dizzying array of online photos…
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Stretchable e-skin could give robots human-level touch sensitivity

Stretchable e-skin could give robots human-level touch sensitivity

A first-ever stretchy electronic skin could equip robots and other devices with the same softness and touch sensitivity as human skin, opening up new possibilities to perform tasks that require a great deal of precision and control of force. The new stretchable e-skin, developed by researchers at The University of Texas at Austin, solves a major bottleneck in the emerging technology. Existing e-skin technology loses sensing accuracy as the material stretches, but that is not the case with this new version. "Much like human skin has to stretch and bend to accommodate our movements, so too does e-skin," said Nanshu…
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Data Machina #237

Data Machina #237

AI Code Generation: A New Paradigm. Several developer surveys indicate that devs -especially Sr. devs- who use AI tools are “more productive.” Today you can use lots of AI tools for code completion, pair programming, data generation, an even having a team of AI coding agents to complete tedious tasks for you. Back in October, the team at DeepSense wrote an excellent blogpost on the state of the art in AI coding agents, detailing the pros & cos, and workflows of each AI coding agent. Worth mentioning that -fundamentally- all these AI coding agents are mostly based on prompt engineering,…
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Release notes for Deephaven version 0.31.0 | Deephaven

Release notes for Deephaven version 0.31.0 | Deephaven

Deephaven Community Core version 0.31.0 was recently released. Deephaven's final release of 2023 brings several bug fixes and quality-of-life improvements. Let's talk about some noteworthy updates from the release.Deephaven's Python API now supports type hints for functions that:Return arrays, lists, or other sequences of data.Have optional returns.This means that the query engine fully supports your functions that return lists, arrays, or (optionally) nothing. The best way to show what this means is through code. Keep reading to see these new features in example queries.Arrays, lists, and sequences​Users often work with data that's grouped into arrays in tables. Python functions that…
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Large Language Models and Nearest Neighbors

Large Language Models and Nearest Neighbors

Instead of jumping on the latest trend of the week, I wanted to dive into a recent, fascinating application of nearest-neighbor methods in the context of large language models (LLMs) that made big waves in July.You may know that I like simple yet elegant and baselines, but I also found this method quite refreshing given that most of the current research is about scaling already massive LLMs. While they may not scale to all kinds of problems where LLMs currently excel, seemingly simple methods such as nearest neighbor algorithms have a certain beauty to them. It also shows that there…
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