Sun.Apr 07, 2024

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Best AI Coding Assistants in 2024

Analytics Vidhya

Introduction The introduction of AI coding helpers has reached a crucial turning point in the constantly changing world of software development. These assistants, which use artificial intelligence (AI) capabilities, have revolutionized how engineers create and organize code. They now serve as vital resources for contemporary software development teams, offering astute assistance with various coding assignments. […] The post Best AI Coding Assistants in 2024 appeared first on Analytics Vidh

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Groq CEO: 'We No Longer Sell Hardware'

Hacker News

EE Times connects the global electronics community through news, analysis, education, and peer-to-peer discussion around technology, business, products and design

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Google Mulls Charging for AI-Enhanced Search: What You Need to Know

Analytics Vidhya

Google has always been synonymous with free search. However, the tech giant is contemplating a significant shift that could reshape how users access its services. Reports suggest that the company is exploring the possibility of charging for access to its AI-enhanced search features. This potential move, if implemented, could mark a significant change from Google’s […] The post Google Mulls Charging for AI-Enhanced Search: What You Need to Know appeared first on Analytics Vidhya.

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The Disturbing Truth About How Airplanes Are Maintained Today (2015)

Hacker News

In the last decade, most of the big U.S. airlines have shifted major maintenance work to places like El Salvador, Mexico, and China, where few mechanics are F.A.A. certified and inspections have no teeth.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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What is GPT? You Won’t Believe What’s Inside!

Analytics Vidhya

Introduction In recent years, the field of artificial intelligence (AI) has witnessed a remarkable surge in the development of generative AI models. These models can generate human-like text, images, and even audio, pushing the boundaries of what was once thought impossible. Among these models, the Generative Pre-trained Transformer (GPT) stands out as a pioneering breakthrough […] The post What is GPT?

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NASA's LRO Finds Photo Op as It Zips Past SKorea's Danuri Moon Orbiter

Hacker News

NASA’s LRO (Lunar Reconnaissance Orbiter), which has been circling and studying the Moon for 15 years, captured several images of Korea Aerospace Research

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What John von Neumann Did at Los Alamos

Hacker News

by Ashutosh Jogalekar During a wartime visit to England in early 1943, John von Neumann wrote a letter to his fellow mathematician Oswald Veblen at the Institute for Advanced Study in Princeton, saying: “I think I have learned a great deal of experimental physics here, particularly of the gas dynamical variety, and that I shall…

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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

Author(s): Juliusnyambok Originally published on Towards AI. Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care. After years of battling over control of the TV (sparked by my sister’s questionable obsession with true crime), my sister, the brilliant pharmacist Miss Nyambok Cynthia, and I decided to put our eternal sibling rivalry to good use.

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Court approves 3M multi-billion dollar settlement over PFAS in drinking water

Hacker News

Chemical manufacturer 3M will begin payments starting in the third quarter to many U.S. public drinking water systems as part of a multi-billion-dollar settlement over contamination with potentially harmful compounds used in firefighting foam and several consumer products.

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A Recipe For a Robust Model Development Process

Towards AI

Author(s): Jonte Dancker Originally published on Towards AI. ML models fail silently. A model might fail but still produce some output. We might not even get a signal of why or where our model fails. And there are many reasons for a model to fail. A model can fail due to bad data, bugs in the code, wrong hyperparameters, or a lack of predictive power of the model.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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The Bulgarian Computer's Global Reach: On Victor Petrov's "Balkan Cyberia"

Hacker News

Alex Langstaff calls “Balkan Cyberia: Cold War Computing, Bulgarian Modernization, and the Information Age Behind the Iron Curtain” a must-read for anyone interested in how the Iron Curtain was circumvented in the digital age.

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Top Important LLM Papers for the Week from 25/03 to 31/03

Towards AI

Last Updated on April 7, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Fifth Week of March 2024.

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Comparing Desoldering Tools

Hacker News

[Lee] has a Hakko FR301 desoldering gun and a Duratool knockoff. He freely admits that the Hakko is probably better, but he wonders if it's good enough to justify being four times as expensive. He sh.

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From Development to Deployment of an AI Model Using Azure

Towards AI

Last Updated on April 7, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. Photo by Lala Azizli on Unsplash Hey there, fellow learners! U+1F44B Welcome to another exciting journey in the realm of machine learning. Today, we’re going to discuss about the often overlooked but incredibly crucial aspect of Building ML models, i.e, Deploying machine learning models.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Did any processor implement an integer square root instruction?

Hacker News

Has any processor ever implemented an integer square root instruction? Obviously, floating-point square root instructions are quite common, but I've never seen one specifically for integers. One cl.

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Optimizing Emergency Response in Calgary

Towards AI

Last Updated on April 7, 2024 by Editorial Team Author(s): Vishnu Regimon Nair Originally published on Towards AI. Optimizing Emergency Response in Calgary Photo by Constante Lim on Unsplash Facing the Growing Challenge: Optimizing Emergency Response Times in Calgary With the ever-increasing population and evolving cities, the demand and need for emergency services grow stronger.

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Reviving an 800-Year-Old Japanese Tea Farm

Hacker News

The city of Uji in Kyoto has been famed for tea for more than eight centuries, but much has been lost in the depths of that time. Now a group of locals are working to revive Asahien, one of Uji’s seven famed tea farms of the past, with plants discovered on the grounds of a city temple.

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? You just want to create and analyze simple maps not to learn algebra all over again.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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The lifecycle of a code AI completion

Hacker News

Demystifying code AI: Learn how Cody analyzes context, retrieves references, prompts models, and refines completions behind the scenes.

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Keras Convolution layer — shapes of input, weights and output

Towards AI

Last Updated on April 7, 2024 by Editorial Team Author(s): Sujeeth Kumaravel Originally published on Towards AI. Keras Convolution layer — shapes of input, weights and output TensorFlow is one of the packages to develop solutions for machine learning problems. Keras is a module in TensorFlow that specifically offers tools to build neural network models.

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Architecture decisions in Neon, a serverless Postgres service

Hacker News

The idea behind Neon is to create a new serverless Postgres service with a modern cloud-native architecture. When building for the cloud it usually is a good idea to separate storage and compute.

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Going Beyond Zero/Few-Shot: Chain of Thought Prompting for Complex LLM Tasks

Towards AI

Last Updated on April 7, 2024 by Editorial Team Author(s): Abhinav Kimothi Originally published on Towards AI. Source : Image generated by author using Yarnit It is quite astonishing how Large Language Models or LLMs (GPT, Claude, Gemini etc.) have captured the world’s imagination. It’s a powerful technology that can tackle a variety of natural language tasks.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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High Definition CSS Color Guide

Hacker News

CSS Color 4 brings wide gamut color tools and capabilities to the web: more colors, manipulation functions, and better gradients.

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7 Best Machine Learning Workflow and Pipeline Orchestration Tools 2024

DagsHub

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines. These pipelines cover the entire lifecycle of an ML project, from data ingestion and preprocessing, to model training, evaluation, and deployment.

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AIOS: LLM Agent Operating System

Hacker News

AIOS: LLM Agent Operating System. Contribute to agiresearch/AIOS development by creating an account on GitHub.

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Autonomous Weapons: The False Promise of Civilian Protection (2022)

Hacker News

Regulations that evoke civilian protection measures are needed when autonomous weapons systems are deployed.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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AI assists clinicians in responding to patient messages at Stanford Medicine

Hacker News

Stanford Medicine study shows that large language models can lend a hand to clinicians in responding to patient email messages.

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Mixture-of-Depths: Dynamically allocating compute in transformers

Hacker News

Transformer-based language models spread FLOPs uniformly across input sequences. In this work we demonstrate that transformers can instead learn to dynamically allocate FLOPs (or compute) to specific positions in a sequence, optimising the allocation along the sequence for different layers across the model depth. Our method enforces a total compute budget by capping the number of tokens ($k$) that can participate in the self-attention and MLP computations at a given layer.

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Helixx: $6 a day EV subscription service could disrupt the auto industry

Hacker News

These electric cars & trucks use battery-swap recharging, offer immediate replacement if damaged, and roll out at prices down to $0.25 per hour, with no upfront fees. That's $6 a day plus electricity. The idea is potentially massively disruptive.

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Rendering string diagrams recursively [pdf]

Hacker News

String diagrams are a graphical language used to represent processes that can be composed sequentially or in parallel, which correspond graphically to horizontal or vertical juxtaposition. In this paper we demonstrate how to compute the layout of a string diagram by folding over its algebraic representation in terms of sequential and parallel composition operators.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.