Thu.May 09, 2024

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How to Learn Python? [Step-by Step Guide]

Analytics Vidhya

Introduction Acquiring knowledge Python provides a variety of options for programmers, regardless of skill level. It is rewarding and pleasant with its simple syntax and large library ecosystem. You can make a lot of different kinds of applications with Python, from simple python code to difficult software packages. This guide provides resources, pointers, and guidance […] The post How to Learn Python?

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Mastering healthcare data governance with data lineage

IBM Journey to AI blog

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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Google DeepMind’s New AI Model Can Create Life!

Analytics Vidhya

Google DeepMind has just unveiled AlphaFold 3, a revolutionary AI model redefining biomolecular modeling. Unlike its predecessors, AlphaFold 3 extends its modeling skills beyond proteins. This new model is capable of generating DNA, RNA, and smaller molecules known as ligands. Its breakthrough technology promises to accelerate advancements across various scientific disciplines.

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6 Ways Computer Vision is Re-envisioning the Future of Driving

Unite.AI

Today’s cars are like supercomputers on wheels – smarter, safer, faster, and more personalized thanks to technological advances. One transformative innovation steering this revolution is computer vision – AI-driven technology that enables machines to “understand” and react to visual information. Vehicles can now identify the specific attributes of objects, text, movement, and more – critically important for an industry in pursuit of self-driving vehicles.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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Footprints of AI: Read This Before Working on Massive AI Models

Analytics Vidhya

Introduction AI has shaken up the world with GenAI, self-learning robots, and whatnot! But with the boon, bane comes complementary…the AI strides, its power vast and its potential great, yet within its circuits lie shadows of concern. You might have heard about the world’s first humanoid robot, Sophia, who answered affirmatively to destroy humanity in […] The post Footprints of AI: Read This Before Working on Massive AI Models appeared first on Analytics Vidhya.

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IBM Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Analytics Vidhya

Introduction In the dynamic world of software development, efficiency and accuracy are of utmost importance. Advanced tools that enhance these aspects can significantly transform how developers build and maintain software. Most of today’s technologies support coding by harnessing the power of artificial intelligence (AI). They actively improve the coding process by automating routine tasks, optimizing […] The post IBM Granite Code Models: A Family of Open Foundation Models for Code I

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EA CEO Is Eager to Ramp Up Generative AI Use in Game Studios 'As Quickly As Possible'

Extreme Tech

Andrew Wilson thinks AI could be the 'holy grail' for at least half of EA's development processes.

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Guide to Cross-validation with Julius

Analytics Vidhya

Introduction Cross-validation is a machine learning technique that evaluates a model’s performance on a new dataset. It involves dividing a training dataset into multiple subsets and testing it on a new set. This prevents overfitting by encouraging the model to learn underlying trends associated with the data. The goal is to develop a model that […] The post Guide to Cross-validation with Julius appeared first on Analytics Vidhya.

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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning Blog

This post is co-written with Tom Famularo, Abhay Shah and Nicolette Kontor from Verisk. Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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5-Step Guide to Automate Data Cleaning in Python

Analytics Vidhya

Introduction Data cleaning is crucial for any data science project. The collected data has to be clean, accurate, and consistent for any analytical model to function properly and give accurate results. However, this takes up a lot of time, even for experts, as most of the process is manual. Automating data cleaning can speed up […] The post 5-Step Guide to Automate Data Cleaning in Python appeared first on Analytics Vidhya.

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.

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Top 10 AI Instagram Post Generator in 2024

Analytics Vidhya

Introduction Discover the game-changing world of AI-powered Instagram post generators in our comprehensive list of top 10 tools. From Copy AI’s effortless caption creation to Jasper AI’s marketing revolution, each platform offers unique features to elevate your social media strategy. Whether you’re looking for advanced analytics, AI-assisted content creation, or streamlined social media management, these […] The post Top 10 AI Instagram Post Generator in 2024 appeared fir

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SpaceX Breaks NASA Shuttle's Launch Record

Extreme Tech

SpaceX has now completed 83 Falcon 9 and Falcon Heavy launches from Launch Complex 39A at Kennedy Space Center.

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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DISCO Launches GenAI Cecilia Doc Summary Capability

Artificial Lawyer

DISCO has launched a doc summary capability via its Cecilia genAI system. It will provide detailed insights into documents – including in foreign languages –.

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Rightsify’s GCX: Your Go-To Source for High-Quality, Ethically Sourced, Copyright-Cleared AI Music Training Datasets with Rich Metadata

Marktechpost

Rightsify’ s Global Copyright Exchange (GCX) offers vast collections of copyright-cleared music datasets tailored for machine learning and generative AI music initiatives. These datasets encompass millions of hours of music, over 10 million recordings and compositions accompanied by comprehensive metadata, including key, tempo, instrumentation, keywords, moods, energies, chords, and more, facilitating training and commercial usage.

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US: Chinese Invasion of Taiwan Would be 'Devastating'

Extreme Tech

The US currently doesn't have much of a backup plan if an invasion would occur.

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Analyzing the Impact of Flash Attention on Numeric Deviation and Training Stability in Large-Scale Machine Learning Models

Marktechpost

The challenge of training large and sophisticated models is significant, primarily due to the extensive computational resources and time these processes require. This is particularly evident in training large-scale Generative AI models, which are prone to frequent instabilities manifesting as disruptive loss spikes during extended training sessions.

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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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Legal Tech Speakeasy Welcomes IT + Innovation Leaders – May 23, London

Artificial Lawyer

The Legal Tech Speakeasy is back! Organised by LexisNexis in partnership with Artificial Lawyer, the evening event is designed to bring legal innovation and IT.

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Is There a Library for Cleaning Data before Tokenization? Meet the Unstructured Library for Seamless Pre-Tokenization Cleaning

Marktechpost

In Natural Language Processing (NLP) tasks, data cleaning is an essential step before tokenization, particularly when working with text data that contains unusual word separations such as underscores, slashes, or other symbols in place of spaces. Since common tokenizers frequently rely on spaces to split text into distinct tokens, this problem can have a major impact on the quality of tokenization.

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AMD Gains CPU Market Share in Q1 Thanks to Ryzen and Epyc Chips

Extreme Tech

The company is making decent inroads into several of Intel's strongholds.

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AI for Sustainability and Climate Change

Marktechpost

In the contemporary landscape of technological advancements, artificial intelligence (AI) stands at the forefront, driving significant transformations across various sectors. Let’s delve into the critical roles of AI in promoting sustainability and addressing the urgent challenges posed by climate change. From optimizing renewable energy systems and predicting climate phenomena to enhancing urban planning and controlling pollution, AI’s capabilities are being harnessed to forge a path towa

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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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Whistleblower at Boeing Supplier Says His Job Almost Made Him Afraid to Fly

Extreme Tech

After 12 years at Spirit AeroSystems, hopping on a Boeing 737 makes Santiago Paredes 'very uncomfortable.

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The Rise of Adversarial AI in Cyberattacks

Marktechpost

In cybersecurity, while AI technologies have significantly bolstered our defense mechanisms against cyber threats, they have also given rise to a new era of sophisticated attacks. Let’s explore the darker side of AI advancements in the cybersecurity domain, focusing on its role in enhancing adversarial capabilities. From AI-powered phishing attacks that craft deceptively personal messages to advanced cryptographic attacks that challenge the integrity of encryption methods, let’s delve into how A

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New Study May Solve Mysterious Loss of Water on Venus

Extreme Tech

Venus should have as much water as Earth, so where'd it all go?

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The EU AI Act Is Here. Here Are THREE Issues to Avoid!

Towards AI

Last Updated on May 12, 2024 by Editorial Team Author(s): Taimur Ijlal Originally published on Towards AI. The New AI Law will be a game-changer. Here are some common issues you want to dodge. The EU AI Act is here, and the world of AI regulations will never be the same. Heralded as the first true “AI Law,” the EU AI Act is expected to have the same impact on AI as the GDPR did on data privacy many years ago.

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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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Stylus: An AI Tool that Automatically Finds and Adds the Best Adapters (LoRAs, Textual Inversions, Hypernetworks) to Stable Diffusion based on Your Prompt

Marktechpost

Adopting finetuned adapters has become a cornerstone in generative image models, facilitating customized image creation while minimizing storage requirements. This transition has catalyzed the development of expansive open-source platforms, fostering communities to innovate and exchange various adapters and model checkpoints, thereby propelling the proliferation of creative AI art.

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Top Important LLM Papers for the Week from 29/04 to 05/05

Towards AI

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 Fourth Week of April 2024.

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xLSTM: Enhancing Long Short-Term Memory LSTM Capabilities for Advanced Language Modeling and Beyond

Marktechpost

Despite their significant contributions to deep learning, LSTMs have limitations, notably in revising stored information. For instance, when faced with the Nearest Neighbor Search problem, where a sequence needs to find the most similar vector, LSTMs struggle to update stored values when encountering a closer match later in the sequence. This inability to revise storage decisions hampers their performance in tasks requiring dynamic adjustments to stored information.