Mon.Jan 22, 2024

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The dynamic forces behind data center re-transformation 

IBM Journey to AI blog

Data centers are undergoing significant evolution. Initially, they were massive, centralized facilities that were complex, costly and difficult to replicate or restore. Now, advancements in hardware and software as well as increased focus on sustainability are driving rapid transformation. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective.

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Michael Dougherty, CEO & Co-Founder of Remix AI – Interview Series

Unite.AI

Michael Dougherty, CEO & Co-Founder of Remix AI , a free-to-use app for exploring creativity with AI. The app allows users to create, share, and get inspired in a community full of artists and creative minds. Tell us about your journey in technology. I have always been excited about advanced platforms that combine new platforms and advanced technologies with creation, media, and music.

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How to handle a ransomware attack 

IBM Journey to AI blog

It’s the news no organization wants to hear―you’ve been the victim of a ransomware attack, and now you’re wondering what to do next. The first thing to keep in mind is you’re not alone. Over 17 percent of all cyberattacks involve ransomware —a type of malware that keeps a victim’s data or device locked unless the victim pays the hacker a ransom.

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Nvidia Forges Powerful Alliances in AI Drug Development Surge

Analytics Vidhya

In a strategic move to step into drug development, Nvidia recently unveiled collaborations with biotech giants Amgen and Recursion. This marks a significant leap in the fusion of technology and biotechnology. The partnerships aim to leverage the capabilities of Nvidia’s cutting-edge AI technologies to expedite drug discovery processes and foster innovation in the healthcare industry. […] The post Nvidia Forges Powerful Alliances in AI Drug Development Surge appeared first on Analytic

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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GDPR compliance checklist

IBM Journey to AI blog

The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. Any company operating in the EU or handling EU residents’ data must adhere to GDPR requirements. However, GDPR compliance is not necessarily a straightforward matter. The law outlines a set of data privacy rights for users and a series of principles for the processing of personal data.

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Innovation in Synthetic Data Generation: Building Foundation Models for Specific Languages

Unite.AI

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. In Natural Language Processing (NLP) , synthetic data proves invaluable for enhancing training sets, particularly in low-resource languages, domains, and tasks, thereby enhancing the performance and robustness of NLP models.

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How to Remove an Item from a List in Python ?

Analytics Vidhya

Introduction In the realm of Python programming, managing and manipulating data is a core skill, and Python’s prowess in handling lists is a testament to its versatility. List operations often involve surgically removing specific items for tasks such as data cleaning, filtering, or general manipulation. This article explores various strategies for efficient item removal from […] The post How to Remove an Item from a List in Python ?

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What is Data Science? – The Complete Guide

Great Learning

Data Science is a combination of mathematics, statistics, machine learning, and computer science. Data Science is collecting, analyzing and interpreting data to gather insights into the data that can help decision-makers make informed decisions. Data Science is used in almost every industry today that can predict customer behavior and trends and identify new opportunities.

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Casper Labs and IBM Develop Blockchain-based Solution for AI Transparency

Analytics Vidhya

Casper Labs and IBM have teamed up in a promising collaboration, aimed at reshaping the landscape of artificial intelligence (AI) governance. By integrating AI with blockchain technology, they aspire to enhance transparency and consumer safety. Their innovative approach addresses critical issues such as intellectual property risks and governance challenges in AI training across industries.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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This AI Paper from Meta and NYU Introduces Self-Rewarding Language Models that are Capable of Self-Alignment via Judging and Training on their Own Generations

Marktechpost

Future models must receive superior feedback for effective training signals to advance the development of superhuman agents. Current methods often derive reward models from human preferences, but human performance limitations constrain this process. Relying on fixed reward models impedes the ability to enhance learning during Large Language Model (LLM) training.

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How can I Manipulate Python List Elements Using Indexing?

Analytics Vidhya

Introduction Python lists serve as versatile data structures, allowing the storage and manipulation of collections of items. Among their most powerful features is the ability to access and modify individual elements using index values. This article explores various techniques and methods for efficient list indexing in Python, covering fundamental concepts, advanced techniques, and optimization strategies. […] The post How can I Manipulate Python List Elements Using Indexing?

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This AI Paper Unveils the Potential of Speculative Decoding for Faster Large Language Model Inference: A Comprehensive Analysis

Marktechpost

Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. These models, central to various applications ranging from language translation to conversational AI, face a critical challenge in the form of inference latency. This latency, primarily resulting from traditional autoregressive decoding where each token is generated sequentially, increases with the complexity and size of the model, posing a significant hurdle to real-time responsiveness.

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DPD’s AI Chatbot Misadventure: Swearing, Poetry, and a Frustrated Customer

Analytics Vidhya

In a recent comedic twist, DPD, the parcel delivery firm, found itself in a digital debacle as its AI-powered online chatbot went rogue, swearing at a customer and composing poems that criticized the company. The incident, triggered by a system update, highlights the potential pitfalls of relying too heavily on artificial intelligence in customer service. […] The post DPD’s AI Chatbot Misadventure: Swearing, Poetry, and a Frustrated Customer appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Meet Marlin: A FP16xINT4 LLM Inference Kernel that can Achieve Near-Ideal ~4x Speedups up to Medium Batch Sizes of 16-32 Tokens

Marktechpost

In computing, there’s a common challenge when it comes to speeding up the process of running complex language models, like those used in large language understanding tasks. These models, often known as LLMs, require significant computational power, and researchers are always on the lookout for ways to make them faster and more efficient. Some existing methods attempt to speed up these models, but they face limitations, especially when the number of inputs increases.

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Quiz of the Day (AWS Load Balancer) #16

Analytics Vidhya

Welcome to the AWS Certified Cloud Practitioner (CCP) Quiz – your gateway to exploring the fundamental principles of cloud computing with Amazon Web Services (AWS)! In this knowledge-packed quiz, we’ll navigate the core concepts and services that form the backbone of AWS, empowering you with the skills and insights needed to become a certified cloud […] The post Quiz of the Day (AWS Load Balancer) #16 appeared first on Analytics Vidhya.

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Researchers from China Propose Vision Mamba (Vim): A New Generic Vision Backbone With Bidirectional Mamba Blocks

Marktechpost

Many people are now interested in the state space model (SSM) because of how recent research has advanced. Modern SSMs, which derive from the classic state space model, benefit from concurrent training and excel at capturing long-range dependencies. Process sequence data across many activities and modalities using SSM-based methods like linear state-space layers (LSSL), structured state-space sequence model (S4), diagonal state space (DSS), and S4D.

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You Can Now Protect Your Art from AI Using Nightshade

Analytics Vidhya

In response to the escalating threat of AI exploitation in the art world, computer scientists at the University of Chicago have introduced Nightshade. This groundbreaking tool aims to protect artists’ intellectual property, especially images from AI copycats. This article explores the mechanics of Nightshade, its role in safeguarding against AI exploitation, and its potential impact […] The post You Can Now Protect Your Art from AI Using Nightshade appeared first on Analytics Vidhya.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Researchers from CMU, Bosch, and Google Unite to Transform AI Security: Simplifying Adversarial Robustness in a Groundbreaking Achievement

Marktechpost

In a remarkable breakthrough, researchers from Google, Carnegie Mellon University, and Bosch Center for AI have a pioneering method for enhancing the adversarial robustness of deep learning models, showcasing significant advancements and practical implications. To set a headstart, the key takeaways from this research can be placed around the following points: Effortless Robustness through Pretrained Models: The research demonstrates a streamlined approach to achieving top-tier adversarial robust

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How to Make Text-to-Image Conversion Faster with SDXL Turbo?

Analytics Vidhya

Introduction Stability AI has been at the forefront of developing Open Source Diffusion Models like the Stable Diffusion and Stable Diffusion XL, which have brought a revolution to the field of text-to-image generation. Now, the world of text-to-image generation just got a major upgrade with the arrival of Stable Diffusion XL Turbo aka SDXL Turbo […] The post How to Make Text-to-Image Conversion Faster with SDXL Turbo?

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CMU Research Introduces CoVO-MPC (Covariance-Optimal MPC): A Novel Sampling-based MPC Algorithm that Optimizes the Convergence Rate

Marktechpost

Model Predictive Control (MPC) has become a key technology in a number of fields, including power systems, robotics, transportation, and process control. Sampling-based MPC has shown effectiveness in applications such as path planning and control, and it is useful as a subroutine in Model-Based Reinforcement Learning (MBRL), all because of its versatility and parallelizability, Despite its strong performance in practice, thorough theoretical knowledge is lacking, particularly with regard to feat

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How To Merge Two Lists in Python?

Analytics Vidhya

Introduction Merging two lists in Python is a fundamental operation that often arises in programming tasks. Whether you’re dealing with data manipulation, algorithm implementation, or any other coding scenario, the ability to combine the contents of two lists efficiently is a valuable skill. In Python, this task can be accomplished using various methods, offering flexibility […] The post How To Merge Two Lists in Python?

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Google Adds Disclaimer to Chrome After $5 Billion Web Tracking Lawsuit

Extreme Tech

The lawsuit alleged Chrome's 'Incognito' mode wasn’t as private as users were made to believe—something Google now alerts users to with its browser’s new blurb.

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HTTP Requests in Python

Analytics Vidhya

Introduction In today’s ever-evolving technological landscape, proficiency in using Python for HTTP requests is a vital skill. Whether you’re fetching data from an API, working with databases, or sending user data to a server, effective web communication is paramount. In this article we will use requests module to master the art of handling HTTP requests […] The post HTTP Requests in Python appeared first on Analytics Vidhya.

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Best Image Annotation Tools in 2024

Marktechpost

After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Since the picture annotation defines the standards the model attempts to meet, any label mistakes are likewise replicated. Image annotation is the process of labeling or categorizing an image with descriptive data that helps identify and classify objects, people, and situations included within the image.

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Solar 10.7B: Comparing Its Performance to Other Notable LLMs

Analytics Vidhya

Introduction Transformers and the Large Language Models have taken the world by storm after they have been introduced in the field of Natural Language Processing (NLP). Since their inception, the field has been quickly evolving with innovations and research that make these LLMs more efficient. These include LoRA(Low-Rank Adaption), Flash Attention, Quantization, and the recent […] The post Solar 10.7B: Comparing Its Performance to Other Notable LLMs appeared first on Analytics Vidhya.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Build a vaccination verification solution using the Queries feature in Amazon Textract

AWS Machine Learning Blog

Amazon Textract is a machine learning (ML) service that enables automatic extraction of text, handwriting, and data from scanned documents, surpassing traditional optical character recognition (OCR). It can identify, understand, and extract data from tables and forms with remarkable accuracy. Presently, several companies rely on manual extraction methods or basic OCR software, which is tedious and time-consuming, and requires manual configuration that needs updating when the form changes.

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Meet PythiaCHEM: A Machine Learning Toolkit Designed to Develop Data-Driven Predictive Models for Chemistry

Marktechpost

Artificial Intelligence (AI) and Machine Learning (ML) have grown significantly over the past decade or so, making remarkable progress in almost every field. Be it natural language, mathematical reasoning, or even pharmaceuticals, in today’s age, ML is the driving factor behind innovative solutions in these domains. Chemistry is also one such field where ML has made remarkable inroads, helping researchers in complex tasks like drug discovery, predicting molecular properties, etc.

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Top 25 Web Development Projects for Beginners – 2024

Great Learning

Introduction Everyone understands that the greatest method to learn Web Development (or any other technical skill) is to practice it! However, most people, especially novices, mistake focusing solely on studying the principles and delaying starting a project for far too long. Yes, it is important to make your notions as clear as possible to master […] The post Top 25 Web Development Projects for Beginners – 2024 appeared first on Great Learning Blog: Free Resources what Matters to sh