Tue.Jun 04, 2024

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How to Track IP Address Using Python?

Analytics Vidhya

Introduction IP address geolocation has become an increasingly useful capability in today’s connected world. This guide will walk through how to track an IP address’s geographic location using Python. We’ll provide code examples that leverage Python libraries to fetch location data like city, region and coordinates for a given IP address.

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The AI Mind Unveiled: How Anthropic is Demystifying the Inner Workings of LLMs

Unite.AI

In a world where AI seems to work like magic, Anthropic has made significant strides in deciphering the inner workings of Large Language Models (LLMs). By examining the ‘brain' of their LLM, Claude Sonnet, they are uncovering how these models think. This article explores Anthropic's innovative approach, revealing what they have discovered about Claude’s inner working, the advantages and drawbacks of these findings, and the broader impact on the future of AI.

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Use Cases of Python Context Manager

Analytics Vidhya

Introduction Python’s ability to manage resources—files, database connections, and threads—ensures that programs run quickly and without errors. A context manager is a potent architecture that helps with this task. Python context managers make resource management easier by enabling developers to specify resource setup and takedown procedures legibly and error-proofly using the with statement.

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Amazon will use computer vision to spot defects before dispatch

AI News

Amazon will harness computer vision and AI to ensure customers receive products in pristine condition and further its sustainability efforts. The initiative – dubbed “Project P.I.” (short for “private investigator”) – operates within Amazon fulfilment centres across North America, where it will scan millions of products daily for defects.

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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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Supercharge Your Embeddings Pipeline with EmbedAnything

Analytics Vidhya

Introduction In this article, we are going to explore a new tool, EmbedAnything, and see how it works and what you can use it for. EmbedAnything is a high-performance library that allows you to create image and text embeddings directly from files using local embedding models as well as cloud-based embedding models. We will also […] The post Supercharge Your Embeddings Pipeline with EmbedAnything appeared first on Analytics Vidhya.

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A Comprehensive Guide on Exponents in Python

Analytics Vidhya

Introduction In mathematics, we use exponents or powers to demonstrate the repeated multiplication of a number by itself. Python offers multiple ways to accomplish exponentiation, providing simplicity and adaptability for a range of use situations. Python provides powerful tools to perform a wide range of tasks, from simple math operations to intricate scientific calculations.

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SAP and NVIDIA Create AI for ‘The Most Valuable Language,’ CEOs Unveil at Sapphire Orlando

NVIDIA

German enterprise cloud leader SAP is harnessing generative AI and industrial digital twins in the development of next-generation enterprise applications for its customers. At SAP’s Sapphire event today, in Orlando, Florida, NVIDIA and the enterprise software company unveiled generative AI efforts featuring NVIDIA AI Enterprise software to offer two new capabilities for Joule , SAP’s generative AI copilot — SAP Consulting capabilities and ABAP Developer capabilities.

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Understanding Kolmogorov-Arnold Networks: The Latest Alternative to MLP

Analytics Vidhya

Introduction Kolmogorov-Arnold Networks, also known as KAN, are the latest advancement in neural networks. Based on the Kolgomorov-Arnold representation theorem, they have the potential to be a viable alternative to Multilayer Perceptrons (MLP). Unlike MLPs with fixed activation functions at each node, KANs use learnable activation functions on edges, replacing linear weights with univariate functions […] The post Understanding Kolmogorov-Arnold Networks: The Latest Alternative to MLP appe

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Crossing Modalities: The Innovative Artificial Intelligence Approach to Jailbreaking LLMs with Visual Cues

Marktechpost

With the widespread rise of large language models (LLMs), the critical issue of “jailbreaking” poses a serious threat. Jailbreaking involves exploiting vulnerabilities in these models to generate harmful or objectionable content. As LLMs like ChatGPT and GPT-3 have become increasingly integrated into various applications, ensuring their safety and alignment with ethical standards has become paramount.

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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

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How to Calculate the Coefficient of Variation in Excel & Google Sheets

Analytics Vidhya

Introduction The Coefficient of Variation (CV) is a valuable tool for comparing the variability of different datasets. It is most useful in instances where the units of the data are different. This article will explain what the CV is and how it’s applied in various industries. Moreover, it will give you step-by-step instructions on how […] The post How to Calculate the Coefficient of Variation in Excel & Google Sheets appeared first on Analytics Vidhya.

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Unveiling the Diagnostic Landscape: Assessing AI and Human Performance in the Long Tail of Rare Diseases

Marktechpost

Using extensive labeled data, supervised machine learning algorithms have surpassed human experts in various tasks, leading to concerns about job displacement, particularly in diagnostic radiology. However, some argue that short-term job displacement is unlikely since many jobs involve a range of tasks beyond just prediction. Humans may remain essential in prediction tasks as they can learn from fewer examples.

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10 Ways AI can be Used in Smart Cities

Analytics Vidhya

Introduction Ever wonder how our cities are becoming smarter and more efficient? It’s all about leveraging the latest technologies, such as the Internet of Things (IoT), blockchain, and, of course, Artificial Intelligence (AI). These tools are transforming how we manage our urban environments, making our cities more friendly and efficient! You see, AI has this […] The post 10 Ways AI can be Used in Smart Cities appeared first on Analytics Vidhya.

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Streamline custom model creation and deployment for Amazon Bedrock with Provisioned Throughput using Terraform

AWS Machine Learning Blog

As customers seek to incorporate their corpus of knowledge into their generative artificial intelligence (AI) applications, or to build domain-specific models, their data science teams often want to conduct A/B testing and have repeatable experiments. In this post, we discuss a solution that uses infrastructure as code (IaC) to define the process of retrieving and formatting data for model customization and initiating the model customization.

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How to Master Product Portfolio Management

Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

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CoSy (Concept Synthesis): A Novel Architecture-Agnostic Machine Learning Framework to Evaluate the Quality of Textual Explanations for Latent Neurons

Marktechpost

Modern Deep Neural Networks (DNNs) are inherently opaque; we do not know how or why these computers arrive at the predictions they do. This is a major barrier to the broader use of Machine Learning techniques in many domains. An emerging area of study called Explainable AI (XAI) has arisen to shed light on how DNNs make decisions in a way that humans can comprehend.

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Towards AI newsletter #102: GenAI advances beginning to benefit weather forecasting?

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Microsoft’s Aurora, Codestral, MoRA, XAi raise & more. What happened this week in AI by Louie While there was plenty of newsflow in the LLM world again this week, we are also interested in how the LLM-fueled boom in AI research and AI compute capacity can accelerate other AI models.

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This AI Paper from Databricks and MIT Propose Perplexity-Based Data Pruning: Improving 3B Parameter Model Performance and Enhancing Language Models

Marktechpost

In machine learning, the focus is often on enhancing the performance of large language models (LLMs) while reducing the associated training costs. This endeavor frequently involves improving the quality of pretraining data, as the data’s quality directly impacts the efficiency and effectiveness of the training process. One prominent method to achieve this is data pruning, which involves selecting high-quality subsets from larger datasets to train the models more effectively.

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AI-Powered Tools Transforming Task Management and Scheduling

Topbots

In today’s digital landscape, where efficiency is the new currency, AI-powered productivity tools have become essential allies. This article marks the beginning of a series dedicated to exploring various AI productivity tools that are reshaping how we work. In this first installment, we delve into AI-enhanced scheduling and task management tools, offering a comprehensive look at some of the market leaders.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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ROBOSHOT by University of Wisconsin-Madison Enhancing Zero-Shot Learning Robustness: A Novel Machine Learning Approach to Bias Mitigation

Marktechpost

Zero-shot learning is an advanced machine learning technique that enables models to make predictions on tasks without having been explicitly trained on them. This revolutionary paradigm bypasses extensive data collection and training, relying instead on pre-trained models that can generalize across different tasks. Zero-shot models leverage knowledge acquired during pre-training, allowing them to infer information about new, unseen tasks by drawing parallels with their existing knowledge base.

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China's Chang’e-6 Probe Lifts Off From Far Side of Moon With Sample and Returns to Orbit

Extreme Tech

Chang’e-6 could be the first mission to return samples from the Moon's far side when the descent module lands later this month.

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Advancements and Future Directions in Machine Learning-Assisted Protein Engineering

Marktechpost

Protein engineering, a rapidly evolving field in biotechnology, has the potential to revolutionize various sectors, including antibody design, drug discovery, food security, and ecology. Traditional methods such as directed evolution and rational design have been instrumental. However, the vast mutational space makes these approaches expensive, time-consuming, and limited scope.

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Distributed ML for IoT

databricks

Introduction Today, manufacturers’ field maintenance is often more reactive than proactive, which can lead to costly downtime and repairs. Historically, data warehouses have.

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11 KPIs for Measuring Innovation Success

Measuring innovation success is critical yet challenging for organizations, often leading to confusion over which KPIs to use. Many rely on inappropriate metrics borrowed from other departments, wasting resources and overlooking valuable opportunities. This guide outlines why innovation metrics are hard to track and offers a framework for creating effective KPIs.

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ARM Is Targeting 50% Windows Market Share in 5 Years

Extreme Tech

The new era of Arm-based Windows PC is finally upon us, and it could spell major trouble for x86.

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8 impactful quotes from SAS leaders at theCUBE

SAS Software

Step into the vibrant, insightful platform that is theCUBE, where industry leaders don’t just talk tech; they unpack AI’s impact on our world. Eight quotes aren’t enough to describe all the knowledge shared by SAS leaders during theCUBE’s session at SAS Innovate 2024. But this blog post would go on [.

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SpaceX Schedules 4th Starship Test Flight for June 6

Extreme Tech

The company hopes to finish the test without "rapid unscheduled disassembly" this time.

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Fears Are Growing Over AI's Impact on Jobs

Marketing AI Institute

There’s a growing chorus of fear and alarm about AI’s impact on jobs and human labor, as exemplified by a few recent high-profile developments.

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Bringing the Cybersecurity Imperative Into Focus

Tech leaders today are facing shrinking budgets and investment concerns. This whitepaper provides insights from over 1,000 tech leaders on how to stay secure and attract top cybersecurity talent, all while doing more with less. Download today to learn more!

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OpenAI-backed Humanoid Robot Startup Takes a Big Step Toward Task Chaining

Extreme Tech

Eve, 1X's humanoid on wheels, is closer to autonomously completing multiple tasks back-to-back.

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OpenAI's Ex-Board Strikes Back

Marketing AI Institute

OpenAI is charging full steam ahead with its next frontier model, assumed to be GPT-5, even as the company weathers a storm of controversies.

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Knock Knock: A New Python Library to Get a Notification when Your Training is Complete with just Two Additional Lines of Code

Marktechpost

Training deep learning DL models is time-consuming and unpredictable. It is often hard to know precisely when a model will finish training or if it might crash unexpectedly. This uncertainty can lead to inefficiencies, especially when monitoring training manually. Some solutions exist to manage training times and failures, such as early stopping techniques and logging systems.

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