Unite.AI

JUNE 29, 2024

In a groundbreaking development , researchers have successfully bound engineered skin tissue to the complex forms of humanoid robots. This achievement is a significant leap forward in the field of biohybrid robotics, blending biology with mechanical engineering to create more lifelike and functional robotic systems. The breakthrough, led by Professor Shoji Takeuchi of the University of Tokyo, addresses a longstanding challenge in robotics: creating a seamless interface between artificial structu

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Robotics 295

Analytics Vidhya

JUNE 29, 2024

Introduction Git is a powerful distributed version control system used by developers to manage source code changes. Branching, which enables the simultaneous development of different versions of a project, is one of its fundamental characteristics. This article will cover the definition of branches, the value of branching, the function of an upstream branch in Git, […] The post How to Set Upstream Branch in Git?

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Marktechpost

JUNE 29, 2024

Prompt engineering is crucial to leveraging ChatGPT’s capabilities, enabling users to elicit relevant, accurate, high-quality responses from the model. As language models like ChatGPT become more sophisticated, mastering the art of crafting effective prompts has become essential. This comprehensive overview delves into prompt engineering principles, techniques, and best practices, providing a detailed understanding drawn from multiple authoritative sources.

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Prompt Engineer Prompt Engineering ChatGPT AI 122

Bugra Akyildiz

JUNE 29, 2024

This week, I will cover why I think data janitor work is dying and companies that are built in on top of data janitor work could be ripe for disruption through LLMs and what to do about it. A data janitor is a person who works to take big data and condense it into useful amounts of information. Also known as a "data wrangler", a data janitor sifts through data for companies in the information technology industry.

LLM 40

LLM Big Data Data Quality ETL 40

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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

Generative AI

Marktechpost

JUNE 29, 2024

Hugging Face has announced the release of Transformers version 4.42 , which brings many new features and enhancements to the popular machine-learning library. This release introduces several advanced models, supports new tools and retrieval-augmented generation (RAG), offers GGUF fine-tuning, and incorporates a quantized KV cache, among other improvements.

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Machine Learning Python NLP Large Language Models 121

Marktechpost

JUNE 29, 2024

Accelerating Drug Discovery with AI: The Role of AlphaFold in Targeting Liver Cancer: AI is significantly transforming the field of drug discovery, offering new ways to design and synthesize medicines more efficiently. A notable example is AlphaFold, an AI program developed by DeepMind, which has made groundbreaking advancements in predicting the three-dimensional structures of proteins.

AI 100

AI AI Deep Learning Artificial Intelligence 100

Marktechpost

JUNE 29, 2024

In the contemporary landscape of scientific research, the transformative potential of AI has become increasingly evident. This is particularly true when applying scalable AI systems to high-performance computing (HPC) platforms. This exploration of scalable AI for science underscores the necessity of integrating large-scale computational resources with vast datasets to address complex scientific challenges.

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Neural Network ChatGPT Hybrid AI Machine Learning 87

Marktechpost

JUNE 29, 2024

Broadly neutralizing antibodies (bNAbs) are key in combating HIV-1. They target the virus’s envelope proteins and show promise in reducing viral loads and preventing infection. Despite their potential, identifying bNAbs remains labor-intensive, involving B-cell isolation and high-throughput next-generation sequencing. Only 255 bNAbs are known, and discovering new ones is challenging due to the virus’s rapid mutation and immune evasion mechanisms.

Machine Learning 85

Machine Learning AI Tools Algorithm ML 85