Sun.Mar 31, 2024

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Getting Started with GNN Implementation

Analytics Vidhya

Introduction In recent years, Graph Neural Networks (GNNs) have emerged as a potent tool for analyzing and understanding graph-structured data. By leveraging the inherent structure and relationships within graphs, GNNs offer a unique approach to solving a wide range of machine learning tasks. In this blog, we will explore this concept from theory to GNN […] The post Getting Started with GNN Implementation appeared first on Analytics Vidhya.

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How to Implement Emotional Intelligence in Leadership Strategies

Aiiot Talk

Finding the right balance between empathy and strong leadership is challenging. However, when employees feel heard and cared about, their basic needs for emotional safety are met. You will wind up with a loyal staff able to express concerns and brainstorm solutions without fear of a boss reacting negatively. Determining how to implement emotional intelligence (EQ) in your leadership strategies requires concerted effort — like setting the tone for your team and orienting new leaders on how to ad

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PyCirclize: Circular Data Visualization, from R to Python

Analytics Vidhya

Introduction Artificial Intelligence revolutionizes various fields such as networking, multi-dimensional data exploration, genomics, and sensor data analysis, increasing the demand for advanced data visualization tools. R, known for its robust visualization capabilities, particularly in circular plots, has played a significant role in this regard. However, Python’s visualization libraries like matplotlib and seaborn, though powerful, lack […] The post PyCirclize: Circular Data Visual

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Modular Open-Sources Mojo: The Programming Language that Turns Python into a Beast

Marktechpost

In the rapidly evolving world of technology and artificial intelligence, a new development has emerged that promises to impact the Python and AI communities significantly. Modular, a pioneering tech firm, has announced the open-sourcing of Mojo , a programming language designed to enhance Python’s capabilities, allowing developers to write code that scales “all the way down to metal code.” This move is set to transform Python programming, offering unprecedented speed and effici

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Prefect and CometML For Bulldozer Sales Price Prediction

Analytics Vidhya

Introduction If you are a beginner and are just starting to learn MLOps, you might have a question: What are MLOps? In simple words, MLOps (Machine Learning Operations) is a set of practices for collaboration and communication between data scientists and operations professionals. Applying these practices increases the quality, simplifies the management process, and automates […] The post Prefect and CometML For Bulldozer Sales Price Prediction appeared first on Analytics Vidhya.

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Semiconductor Titans: Inside the World of AI Chip Manufacturing and Design

Topbots

The surge of interest and investment in artificial intelligence (AI) has cast a spotlight on an industry that, while often operating behind the scenes, is fundamental to technological advancement: the semiconductor industry. Semiconductors, or chips, are the heartbeats of modern electronics, from the simplest household gadgets to the most complex supercomputers powering generative AI applications.

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Mistral AI Releases Mistral 7B v0.2: A Groundbreaking Open-Source Language Model

Marktechpost

In the rapidly evolving landscape of artificial intelligence, the introduction of Mistral AI ‘s latest innovation, Mistral 7B v0.2 , heralds a significant advancement in open-source language models. This release not only sets new benchmarks for performance and efficiency but also underscores the pivotal role of open-source projects in democratizing AI technologies.

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Don’t choose computer vision if…

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Enos Jeba Originally published on Towards AI. you are a ChatGPT programmer In this blog, we will understand Why Computer Vision is just not about programming? [link] Multi-disciplinary field You cannot just focus on one technology and get away with it. Computer vision has its feet in multiple fields.

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Researchers at Stanford and Databricks Open-Sourced BioMedLM: A 2.7 Billion Parameter GPT-Style AI Model Trained on PubMed Text

Marktechpost

Natural Language Processing (NLP) has taken over the field of Artificial Intelligence (AI) with the introduction of Large Language Models (LLMs) such as OpenAI’s GPT-4. These models use massive training on large datasets to predict the next word in a sequence, and they improve with human feedback. These models have demonstrated potential for use in biomedical research and healthcare applications by performing well on a variety of tasks, including summarization and question-answering.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Streaming Anchor Loss: Augmenting Supervision with Temporal Significance

Machine Learning Research at Apple

Streaming neural network models for fast frame-wise responses to various speech and sensory signals are widely adopted on resource-constrained platforms. Hence, increasing the learning capacity of such streaming models (i.e., by adding more parameters) to improve the predictive power may not be viable for real-world tasks. In this work, we propose a new loss, Streaming Anchor Loss (SAL), to better utilize the given learning capacity by encouraging the model to learn more from essential frames.

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SineNet by Texas A&M University and the University of Pittsburgh Innovates PDE Solutions: Addressing Temporal Misalignment in Fluid Dynamics Through Deep Learning

Marktechpost

Solving partial differential equations (PDEs) is complex, just like the events they explain. These equations help determine how things change over space and time, and they’re used to model everything from tiny quantum interactions to huge space phenomena. Earlier methods of solving these equations struggled with the challenge of changes happening over time.

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Compromisso do SAS com diversidade e transparência

SAS Software

Tanto em sua sede global quanto em todos os seus escritórios ao redor do mundo, o SAS está comprometido em oferecer oportunidades igualitárias, tratando todos os funcionários e candidatos igualmente. O SAS ajuda os profissionais a equilibrarem trabalho e vida pessoal, não apenas investindo em seu desenvolvimento de carreira, mas [.] The post Compromisso do SAS com diversidade e transparência appeared first on SAS Blogs.

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NVIDIA AI Research Proposes Language Instructed Temporal-Localization Assistant (LITA), which Enables Accurate Temporal Localization Using Video LLMs

Marktechpost

Large Language Models (LLMs) have proven their impressive instruction-following capabilities, and they can be a universal interface for various tasks such as text generation, language translation, etc. These models can be extended to multimodal LLMs to process language and other modalities, such as Image, video, and audio. Several recent works introduce models that specialize in processing videos.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Generative AI: What It Is and Why It Matters

Pickl AI

Summary: Generative AI isn’t magic, but it learns like one! This powerful technology utilizes deep learning algorithms to analyze massive amounts of data, be it text, images, or code. Through a multi-step process, the AI extracts patterns and relationships within the data. This knowledge empowers it to create entirely new, realistic content, like generating human-quality images or composing original music.

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Top Data Science Books to Read in 2024

Marktechpost

As we enter 2024, the field of data science continues to evolve rapidly, making it essential to stay updated with the latest knowledge and trends. Whether you’re a beginner, a seasoned data scientist, or someone interested in leveraging data in your work, our carefully selected list of top data science books for 2024 offers a comprehensive guide.

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Top Ten Stories in AI Writing, Q1 2024

Robot Writers AI

While fewer AI writing CEOs are twisting themselves into pretzels attempting to claim that automated writing tools are simply happy assistants that wouldn’t dream of stealing a writing job, ChatGPT-maker’s CEO Sam Altman nevertheless came-out with a stunner in Q1, 2024. AI, Altman says, is on track to usurp 95% of marketing work — most of which hinges on writing.

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OA-CNNs: A Family of Networks that Integrates a Lightweight Module to Greatly Enhance the Adaptivity of Sparse Convolutional Neural Networks CNNs at Minimal Computational Cost

Marktechpost

In the realm of 3D scene understanding, a significant challenge arises from the irregular and scattered nature of 3D point clouds, which diverge significantly from the densely and uniformly arranged pixels in images. To address this, various feature extraction methods have emerged: point-based networks and sparse convolutional neural networks CNNs Convolutional Neural Networks.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Building A Multilingual NER App with HuggingFace

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Tirendaz AI Originally published on Towards AI. Image by Freepik Nowadays, NLP is one of the most trending fields. This is not a surprise as NLP tools like ChatGPT are a game changer in AI. Believe me, there are transformers at the NLP center today. Transformers, in short, are deep learning architectures that allow you to find meaningful relationships between words in text.

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ChatGPT vs Perplexity AI: AI App Comparison

Marktechpost

What is ChatGPT? ChatGPT, developed by OpenAI, is an AI platform renowned for its conversational AI capabilities. Leveraging the power of the Generative Pre-trained Transformer models, ChatGPT generates human-like text responses across various topics, from casual conversations to complex, technical discussions. Its ability to engage users with coherent, contextually relevant dialogues stands out, making it highly versatile for various applications, including content creation, education, customer

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Four New Major Open Source Foundation Models in a Week

TheSequence

Created Using Ideogram Next Week in The Sequence: Edge 383: Our new series continues with a deep dive into the core capabililties of autonomous agents. We review a very famous paper about agents simulating human behavior and we dive into the Crew AI framework. Edge 384: We dive into Genie, Google DeepMind’s model that can generative interactive games from text!

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Meet Deep-Seek: An Open Source Research Agent Designed as an Internet Scale Retrieval Engine

Marktechpost

While the internet is brimming with information, consolidating this data into a clear, organized, and comprehensive overview takes a lot of work. This often results in frustration and a significant expenditure of time for those searching for answers. Answer engines have been the go-to solution for such dilemmas. These platforms combine myriad sources to present a single, definitive answer to a query.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.