Fri.Jun 14, 2024

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PyTorch vs TensorFlow: Which is Better for Deep Learning?

Analytics Vidhya

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones. PyTorch and Tensorflow have similar features, integrations, […] The post PyTorch vs TensorFlow: Which is Better for Deep Learning?

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AI in casino games: A whole new world waiting to be dealt

AI News

AI is in pretty much everyone’s conversations right now, with people using it (successfully and unsuccessfully) for a vast range of different things. Let’s face it: we’ve got stars in our eyes when it comes to AI right now – but what’s it doing to one of the vast industries on our planet, the casino industry? How is it shaking up games from the core?

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The Data-Information-Knowledge-Wisdom Pyramid

Analytics Vidhya

Introduction In today’s information age, data is king. But simply having data is not enough. To truly excel in this data-driven world, we need to be able to transform that data into actionable insights. This is where the DIKW, or Data-Information Knowledge Wisdom Pyramid, comes in. The DIKW Pyramid is a robust framework that helps […] The post The Data-Information-Knowledge-Wisdom Pyramid appeared first on Analytics Vidhya.

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EU AI legislation sparks controversy over data transparency

AI News

The European Union recently introduced the AI Act, a new governance framework compelling organisations to enhance transparency regarding their AI systems’ training data. Should this legislation come into force, it could penetrate the defences that many in Silicon Valley have built against such detailed scrutiny of AI development and deployment processes.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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Fine-Tuning vs Full Training vs Training from Scratch in Machine Learning

Analytics Vidhya

Introduction Many methods have been proven effective in improving model quality, efficiency, and resource consumption in machine learning. The distinction between fine-tuning vs full training vs training from scratch can help you decide which approach is right for your project. Then, we will review them individually and see where and when to use them, using […] The post Fine-Tuning vs Full Training vs Training from Scratch in Machine Learning appeared first on Analytics Vidhya.

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Transforming Your Data Pipeline with dbt(data build tool)

Analytics Vidhya

Introduction Have you ever struggled with managing complex data transformations? In today’s data-driven world, extracting, transforming, and loading (ETL) data is crucial for gaining valuable insights. While many ETL tools exist, dbt (data build tool) is emerging as a game-changer. This article dives into the core functionalities of dbt, exploring its unique strengths and how […] The post Transforming Your Data Pipeline with dbt(data build tool) appeared first on Analytics Vidhya.

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Erik Schwartz, Chief AI Officer (CAIO) Tricon Infotech – Interview Series

Unite.AI

Erik Schwartz is the Chief AI Officer (CAIO) Tricon Infotech. a leading consulting and software services company. Tricon Infotech delivers efficient, automated solutions and full digital transformations through custom products and enterprise implementations Erik Schwartz is a seasoned technology executive and entrepreneur with over two decades of experience in the tech sector, specializing at the intersection of AI, Information Retrieval and Knowledge Discovery.

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Gantt Charts using Python

Analytics Vidhya

Introduction This article describes Gantt charts and emphasizes how important they are for creating project schedules. It also shows how they can show timeframes, dependencies, and tasks. It offers detailed instructions for making Gantt charts with Python’s matplotlib and plotly tools. Also demonstrating how to use them to efficiently and effectively display project timelines.

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MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Unite.AI

Owing to its robust performance and broad applicability when compared to other methods, LoRA or Low-Rank Adaption is one of the most popular PEFT or Parameter Efficient Fine-Tuning methods for fine-tuning a large language model. The LoRA framework employs two low-rank matrices to decompose, and approximate the updated weights in the FFT or Full Fine Tuning, and the LoRA framework modifies these trainable parameters accordingly by adjusting the rank of the matrices.

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Provide Real Value in Your Applications with Data and Analytics

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.

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Understanding and Using Ordinal Data

Analytics Vidhya

Introduction This article explores ordinal data, a type of data with values that have a meaningful order but unknown magnitude between consecutive values. It covers examples such as drink sizes and professional ranks, applications in subjective evaluations like customer satisfaction surveys, appropriate statistical measures, and the qualitative nature of ordinal data.

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NVIDIA Releases Open Synthetic Data Generation Pipeline for Training Large Language Models

NVIDIA

NVIDIA today announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models (LLMs) for commercial applications across healthcare, finance, manufacturing, retail and every other industry. High-quality training data plays a critical role in the performance, accuracy and quality of responses from a custom LLM — but robust datasets can be prohibitively expensive and difficult to access.

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Mathematics for Data Science

Analytics Vidhya

Introduction Mathematics is a way of uncovering possible insights or information from data as done in the field of Data Science. So data science is a vast and a type of mixed field of statistical analysis, computer science, and domain expertise. But it is still the underlying mathematics used in data science that provides essential […] The post Mathematics for Data Science appeared first on Analytics Vidhya.

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SelfGoal: An Artificial Intelligence AI Framework to Enhance an LLM-based Agent’s Capabilities to Achieve High-Level Goals

Marktechpost

Large language models (LLMs) have enabled the creation of autonomous language agents capable of solving complex tasks in dynamic environments without task-specific training. However, these agents often face challenges when tasked with broad, high-level goals due to their ambiguous nature and delayed rewards. The impracticality of frequent model retraining to adapt to new goals and tasks further complicates the issue.

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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10 Best AI-Powered Smartwatches in India

Analytics Vidhya

Introduction If you’ve been in the market looking for a new smartwatch, you’ve probably noticed how advanced they’ve become lately. Thanks to the integration of Artificial Intelligence (AI), smartwatches are getting smarter by the day! These AI-powered smartwatches cater to the needs of fitness buffs, tech enthusiasts, and everyday users alike.

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‘The Proudest Refugee’: How Veronica Miller Charts Her Own Path at NVIDIA

NVIDIA

When she was five years old, Veronica Miller (née Teklai) and her family left their homeland of Eritrea, in the Horn of Africa, to escape an ongoing war with Ethiopia and create a new life in the U.S. She grew up in East Orange, New Jersey, watching others judge her parents and turn them away from jobs they were qualified for because of their appearance, their accented English or their unfamiliar names.

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Data Science in Medicine: Precision & Recall or Specificity & Sensitivity?

Analytics Vidhya

Introduction Evaluation of models and medical tests is significant in both data science and medicine. However, these two domains use different metrics, which is confusing. While data scientists use precision and recall, medics use specificity and sensitivity. When it comes to the relationship between these metrics, they differ. This, therefore, calls for comprehension of their […] The post Data Science in Medicine: Precision & Recall or Specificity & Sensitivity?

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Top Artificial Intelligence AI Courses from Stanford

Marktechpost

Stanford University is renowned for its advancements in artificial intelligence, which have contributed significantly to cutting-edge research and innovations in the field. Its AI courses, taught by leading experts, offer comprehensive and practical knowledge, equipping students with the skills to tackle real-world challenges and drive future AI developments.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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Perseverance Mars Rover Takes Shortcut Through Ancient River Bed

Extreme Tech

The JPL team recently found a spot where the rover could slip down into the river to avoid a field of dangerous boulders.

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HUSKY: A Unified, Open-Source Language Agent for Complex Multi-Step Reasoning Across Domains

Marktechpost

Recent advancements in LLMs have paved the way for developing language agents capable of handling complex, multi-step tasks using external tools for precise execution. While proprietary models or task-specific designs dominate existing language agents, these solutions often incur high costs and latency issues due to API reliance. Open-source LLMs focus narrowly on multi-hop question answering or involve intricate training and inference processes.

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ASML Unveils Plans for Hyper-NA Extreme Ultraviolet Lithography

Extreme Tech

Even though High-NA EUV is just now arriving to the market, the company is already talking about what will come next.

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This AI Paper from China Proposes a Novel dReLU-based Sparsification Method that Increases Model Sparsity to 90% while Maintaining Performance, Achieving a 2-5× Speedup in Inference

Marktechpost

Large Language Models (LLMs) have made substantial progress in the field of Natural Language Processing (NLP). By scaling up the number of model parameters, LLMs show higher performance in tasks such as code generation and question answering. However, most modern LLMs, like Mistral, Gemma, and Llama, are dense models, which means that during inference, they use every parameter.

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Navigating the Automation Landscape: Selecting Tools That Fit Your Business

Speaker: Gary Dmitriev

Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.

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Another Tesla Collides With Emergency Vehicle

Extreme Tech

Police attempting to direct traffic following an accident had to take cover when the Tesla plowed into a cruiser.

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Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by Cutting GPU Usage by 20%

Marktechpost

Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced these challenges become. Recently, Yandex has introduced a new solution: YaFSDP, an open-source tool that promises to revolutionize LLM training by significantly reducing GPU resource consumption and training time.

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Webb Telescope Spots Oldest Supernova Yet

Extreme Tech

With a redshift of 2.9, scientists estimate the star exploded when the universe was just 2.3 billion years old.

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Boosting Classification Accuracy: Integrating Transfer Learning and Data Augmentation for Enhanced Machine Learning Performance

Marktechpost

Transfer learning is particularly beneficial when there is a distribution shift between the source and target datasets and a scarcity of labeled samples in the target dataset. By leveraging knowledge from a related source domain, a pre-trained model can capture general relevant patterns and features to both domains, allowing the model to adapt more effectively to the target domain, even with limited labeled data.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.

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Microsoft Postpones the Release of Its Recall Feature After Backlash, Security Concerns

Extreme Tech

The company leadership said it wants to ensure Recall meets its 'high standards for quality and security.

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TiTok: An Innovative AI Method for Tokenizing Images into 1D Latent Sequences

Marktechpost

In recent years, image generation has made significant progress due to advancements in both transformers and diffusion models. Similar to trends in generative language models, many modern image generation models now use standard image tokenizers and de-tokenizers. Despite showing great success in image generation, image tokenizers encounter fundamental limitations due to the way they are designed.

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Chinese Chipmaker SMIC Rises to Third Biggest Contract Fab Globally

Extreme Tech

The company has now joined Global Foundries at the third spot in global market share for contract foundries.

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