Analytics Vidhya

MARCH 20, 2024

“I hope you realize this is not a concert,” said Nvidia president Jensen Huang to a packed SAP Center in San Jose. CEO Jensen Huang delivered an electrifying keynote at NVIDIA’s GPU Technology Conference (GTC) 2024, making groundbreaking announcements promising to redefine technology. With over 11,000 attendees and a global audience, the event excited and […] The post NVIDIA GTC Keynote | Blackwell Architecture will Accelerate AI Products in Late 2024 appeared first on An

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Aiiot Talk

MARCH 20, 2024

Preprocessing your data is like laying down the foundation for a house. Just as a strong foundation ensures the durability and safety of a home, effective preprocessing ensures the success of artificial intelligence (AI) projects. This crucial step involves cleaning and organizing your data and preparing it for your machine-learning models. Without it, you’ll likely encounter issues derailing your entire project.

Machine Learning 214

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Analytics Vidhya

MARCH 20, 2024

Introduction The world of AI is a fast-moving, and Apple’s just thrown down the gauntlet with their new MM1 model. This isn’t your average AI – it’s a cutting-edge system that can understand and work with different kinds of information at once (text, pictures, maybe even sound!). Think of it as a super-powered machine learning […] The post MM1: Everything you Need to know About Apple’s AI Model appeared first on Analytics Vidhya.

AI Modeling 301

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IBM Journey to AI blog

MARCH 20, 2024

Integration is essential to every business. As businesses consider the core of their IT infrastructure, their focus might be on their data and applications. But without integration, the data would be locked into siloes; and the applications would be isolated and overloaded with complexity as fragile, tightly coupled connections were added to allow applications to work together and share information.

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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

Analytics Vidhya

MARCH 20, 2024

Former head of TensorFlow and co-founder of Inference.io, Rajat Monga, shares insights into his AI journey. From early days at Infosys to leading projects at Google, his experience offers valuable lessons. Let’s explore his reflections on open sourcing TensorFlow and navigating AI model releases. You can listen to this episode of Leading with Data on […] The post AI Insights with Rajat Monga: From TensorFlow to Path of Innovation appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 20, 2024

Microsoft Corp. is making big moves in the AI world! They’ve hired Mustafa Suleyman, who helped start Google’s DeepMind, to lead their AI business for consumers. Microsoft is also bringing on board many talented folks from Suleyman’s old company, Inflection AI. This is all part of Microsoft’s plan to give Google a run for its […] The post Microsoft Hires DeepMind Co-Founder Suleyman for Consumer AI Business appeared first on Analytics Vidhya.

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AI AI 295

Unite.AI

MARCH 20, 2024

Varun Mohan, is the Co-Founder & CEO of Codeium , a code acceleration toolkit built on cutting edge AI technology. Currently, Codeium has two main capabilities: Autocomplete, which suggests the code you want to type, saving you time on everything from boilerplate to unit tests, and Search, which helps you search through your repository using natural language questions.

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Analytics Vidhya

MARCH 20, 2024

Introduction In today’s digital world, we have an ocean of information waiting to be explored online. From tracking the latest trends to understanding what makes a website tick, digging into this data can reveal all sorts of valuable insights. And that’s where web scraping comes in—a nifty technique that lets us gather data from websites […] The post Real-Time Analysis of Analytics Vidhya Blogathon Leaderboard appeared first on Analytics Vidhya.

Data Analysis 291

Data Analysis 291

Marktechpost

MARCH 20, 2024

Analyzing scientific literature is crucial for research advancement, yet the rapid growth in scholarly articles poses challenges for thorough analysis. LLMs promise to summarize texts but need help with multimodal elements like molecular structures and charts. Extracting targeted information from scientific literature is time-consuming, relying on manual review and specialized databases.

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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?

Business Intelligence

Analytics Vidhya

MARCH 20, 2024

Introduction Artificial intelligence (AI) has dramatically influenced technology. It is at the edge where some industries are being revolutionized. With the development of AI, we also learn how to leverage data-driven insights to enhance decision-making, optimize processes, and innovate across various sectors. Since AI possesses the potential to change markets, its availability requires new experts, […] The post Top 7 Companies Hiring for AI Job Roles Right Now appeared first on Analytics

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Marktechpost

MARCH 20, 2024

In software development, the choice between ChatGPT and GitHub Copilot is pivotal for enhancing efficiency and innovation. This article delves into a comprehensive comparison of these tools, shedding light on their functionalities, advantages, disadvantages, and ideal use cases. It culminates in a nuanced understanding of which tool better suits specific software development needs.

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Analytics Vidhya

MARCH 20, 2024

In a transformative stride, Microsoft introduces AutoDev, an AI-driven software development framework poised to redefine conventional methodologies. This paradigm shift integrates artificial intelligence (AI) into software engineering tasks, propelling autonomy, efficiency, and security to unprecedented levels. Let’s delve deeper into the revolutionary capabilities of AutoDev and its implications for the future of software development.

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Marktechpost

MARCH 20, 2024

The development and refinement of large language models (LLMs) mark a significant step in the progress of machine learning. These sophisticated algorithms, designed to mimic human language, are at the heart of modern technological conveniences, powering everything from digital assistants to content creation tools. However, the journey towards creating responsive, accurate, and conversational AI has been marred by a significant hurdle: the processing speed of generating textual responses.

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Neural Network Large Language Models Conversational AI Machine Learning 126

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

AI

Analytics Vidhya

MARCH 20, 2024

Introduction Optimizing deep learning is a critical aspect of training efficient and accurate neural networks. Various optimization algorithms have been developed to improve the convergence speed. One such Algorithm is Adahessian ,which is second-order optimization method known for its effectiveness in handling complex landscapes. In this article we will delve into the working of the ada […] The post AdaHessian: Implementation, Analysis & Adam Comparison appeared first on Analytics V

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Marktechpost

MARCH 20, 2024

Pre-trained language models (PLMs) have revolutionized artificial intelligence, mimicking human-like understanding and text generation. However, the challenge of aligning these models with human preferences has emerged. In this context, the KAIST AI team introduces a novel approach, Odds Ratio Preference Optimization (ORPO), which promises to revolutionize model alignment and set a new standard for ethical AI.

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Analytics Vidhya

MARCH 20, 2024

In the ever-evolving landscape of football tactics, a groundbreaking development emerges from the collaboration between Google DeepMind and Liverpool FC: TacticAI. This AI assistant redefines the game’s strategies, particularly in the crucial realm of corner kicks. Let’s delve into how this innovative AI is set to transform football tactics as we know them.

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Marktechpost

MARCH 20, 2024

In the rapidly evolving field of artificial intelligence (AI), breakthroughs are announced so frequently that it’s becoming increasingly difficult for innovations to stand out. Yet, every so often, a development comes along that captures the industry’s attention and promises to redefine the benchmarks of AI performance. The latest to make such a claim is Contextual AI, which announced RAG 2.0, an end-to-end system designed for developing production-grade AI applications.

Artificial Intelligence 123

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Towards AI

MARCH 20, 2024

Last Updated on March 25, 2024 by Editorial Team Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Google’s desperate attempt to showcase “something” The research initiative led by Enric Corona, Andrei Zanfir, Eduard Gabriel Bazavan, Nikos Kolotouros, Thiemo Alldieck, and Cristian Sminchisescu at Google Research introduces an innovative framework named VLOGGER.

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Marktechpost

MARCH 20, 2024

Image restoration (IR) is a crucial task in computer vision, seeking to recover high-quality images from their degraded versions. Whether it’s an old, faded photograph or a photo blurred by camera shake, we want to fix these imperfections. Traditional methods have progressed, but diffusion models have recently emerged as a powerful solution for image restoration.

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Towards AI

MARCH 20, 2024

Last Updated on March 25, 2024 by Editorial Team Author(s): Rajesh K Originally published on Towards AI. Graph databases and knowledge graphs are among the most widely adopted solutions for managing data represented as graphs, consisting of nodes (entities) and edges (relationships). A graph database stores information using a graph-based data model, enabling querying and traversal of the graph structure through specialized graph query languages.

Data Analysis 91

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Marktechpost

MARCH 20, 2024

Health equity is a pressing global concern characterized by persistent and widening health disparities. These disparities, rooted in multifaceted barriers across society, include limited access to healthcare, differential clinical treatment, and variations in diagnostic effectiveness. The integration of artificial intelligence (AI) into clinical decision-making processes offers promise in addressing healthcare challenges, but there’s a recognized risk that AI implementation may exacerbate

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Towards AI

MARCH 20, 2024

Last Updated on March 25, 2024 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI. Code Tutor saves you time and effort when learning PythonPhoto from Dall-E: coding choropleth map data visualization Productivity is an important metric that differentiates between those who are great coders and those who are merely good.

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Marktechpost

MARCH 20, 2024

The demand for optimized inference workloads has never been more critical in deep learning. Meet Hidet, an open-source deep-learning compiler developed by a dedicated team at CentML Inc. This Python-based compiler aims to streamline the compilation process, offering end-to-end support for DNN models from PyTorch and ONNX to efficient CUDA kernels, focusing on NVIDIA GPUs.

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Extreme Tech

MARCH 20, 2024

A build-up of ice on the mirror threatens to reduce the observatory's sensitivity, but not if it can be safely melted from a million miles away.

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Marktechpost

MARCH 20, 2024

In the evolving landscape of computer vision, the quest for models that adeptly navigate the tightrope between high accuracy and low computational cost has led to significant strides. The field has oscillated between Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with unique strengths and limitations. CNNs have been lauded for their ability to extract local features efficiently, laying the groundwork for nuanced image analysis without demanding extensive computati

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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Extreme Tech

MARCH 20, 2024

If you communicate with Glassdoor customer support, the company will tack the name you used during the interaction onto your user profile.

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Marktechpost

MARCH 20, 2024

MIT researchers developed the Texture Tiling Model (TTM) to address the challenge of accurately modeling human visual perception in deep neural networks (DNNs), particularly focusing on peripheral vision. Peripheral vision, which represents the world with decreasing fidelity at greater eccentricities, plays a crucial role in human visual processing but is often overlooked in computer vision systems.

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Machine Learning UX Design Neural Network Computer Vision 105

Extreme Tech

MARCH 20, 2024

The change will increase the AI performance of the upcoming machine by 6x, according to Nvidia.

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