Fri.Apr 05, 2024

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Top 40 Python Libraries for AI, ML and Data Science

Analytics Vidhya

Introduction Python is the magic key to building adaptable machines! Known for its beginner-friendliness, you can dive into AI without complex code. Python’s superpower? A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond.

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Google Faces Significant Challenges and Competition as It Considers Charging for AI Search

Unite.AI

For years, Google has dominated the online search market, with its search engine serving as the primary tool for billions of users seeking information on the web. However, the rise of AI-powered search competitors and Chatbots, such as OpenAI's ChatGPT and Perplexity AI , has begun to pose a significant threat to Google's long-standing supremacy. These emerging platforms leverage advanced natural language processing (NLP) and machine learning technologies to provide users with more sophisticated

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Top 7 Artificial Intelligence (AI) Internships for Freshers

Analytics Vidhya

Introduction In the rapidly evolving field of artificial intelligence (AI), where technology is developing at a dizzying rate and innovation is shaping the future, internships become essential entry points for future professionals. By bridging the gap between academic knowledge and practical application, these immersive learning activities offer priceless insights, skills, and networking possibilities.

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The convergence of HPC and AI: Driving innovation at speed  

IBM Journey to AI blog

In today’s rapidly changing landscape, delivering higher-quality products to the market faster is essential for success. Many industries rely on high-performance computing (HPC) to achieve this goal. Enterprises are increasingly turning to generative artificial intelligence (gen AI) to drive operational efficiencies, accelerate business decisions and foster growth.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Cohere Launches Command R+ on Azure, Leading the Way in Enterprise AI

Analytics Vidhya

Cohere, a leading provider of enterprise-grade AI solutions, has chosen Microsoft Azure as the launch platform for its new large language model (LLM), Command R+. This decision, despite a long-standing partnership with Oracle, marks a significant shift in Cohere’s approach to cloud deployment. Let’s explore the features and implications of this new model.

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Freelance Data Scientist Develops Gemma-Based Telugu Model, Nandi

Analytics Vidhya

Artificial intelligence (AI) and AI-driven language models in regional languages are booming in India. The latest member to this evolving landscape is Nandi, a Telugu language model, finely crafted by freelance data scientist Bharadwaj Swarna. Nandi, with its roots intertwined with cultural symbolism and linguistic precision, represents a significant stride towards inclusivity and accessibility in […] The post Freelance Data Scientist Develops Gemma-Based Telugu Model, Nandi appeared first

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Planning your solar eclipse journey with network analytics

SAS Software

Authors: Steven Harenberg and Amy Becker The total solar eclipse taking place across a thin band of the United States on April 8, 2024, is going to be a stellar event. In this post, we will help plan a journey to see the total solar eclipse. We will use algorithms [.] The post Planning your solar eclipse journey with network analytics appeared first on SAS Blogs.

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This is How Bakery’s AI Made Cancer Detection a Piece of Cake

Analytics Vidhya

Amidst a world where technology and healthcare are becoming more interconnected lies a story from Japan that blurs the boundary between the normal and the extraordinary. Starting with some pastries and concluding with a new leap in cancer detection, “Have your cake and eat it too” demonstrates that sometimes innovation is simply a collection of […] The post This is How Bakery’s AI Made Cancer Detection a Piece of Cake appeared first on Analytics Vidhya.

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Poro 34B: A 34B Parameter AI Model Trained for 1T Tokens of Finnish, English, and Programming languages, Including 8B Tokens of Finnish-English Translation Pairs

Marktechpost

State-of-the-art language models require vast amounts of text data for pretraining, often in the order of trillions of words, which poses a challenge for smaller languages needing more extensive resources. While leveraging multilingual data is a logical solution, it’s commonly viewed as problematic due to the “curse of multilingualism.” Despite some research exploring the benefits and drawbacks of multilingual training and efforts to enhance models for smaller languages, most c

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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SWE-Agent: The Latest Open-Source AI-Powered Software Developer

Analytics Vidhya

AI-powered software developers are among the latest advancements in the field of artificial intelligence and coding. Joining this wave with Devin and Devika is the new SWE-Agent, developed by Princeton University’s NLP group. SWE-Agent represents a new era in AI programming, promising to streamline GitHub issue resolution and enhance developer productivity.

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This AI Paper from King’s College London Introduces a Theoretical Analysis of Neural Network Architectures Through Topos Theory

Marktechpost

King’s College London researchers have highlighted the importance of developing a theoretical understanding of why transformer architectures, such as those used in models like ChatGPT, have succeeded in natural language processing tasks. Despite their widespread usage, the theoretical foundations of transformers have yet to be fully explored. In their paper, the researchers aim to propose a theory that explains how transformers work, providing a definite perspective on the difference betwe

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Top 20 AI Engineering Colleges in India

Analytics Vidhya

Artificial Intelligence (AI) has emerged as a game-changer in the quickly changing technology landscape, altering sectors and opening the door for creative solutions. Top engineering universities throughout India have started offering specialized degrees in response to the growing need for qualified AI specialists. Let’s explore the academic excellence and innovation that define the colleges and […] The post Top 20 AI Engineering Colleges in India appeared first on Analytics Vidhya.

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Researchers from Zhipu AI and Tsinghua University Introduced the ‘Self-Critique’ pipeline: Revolutionizing Mathematical Problem Solving in Large Language Models

Marktechpost

The proficiency of large language models (LLMs) in deciphering the complexities of human language has been a subject of considerable acclaim. Yet, when it comes to mathematical reasoning—a skill that intertwines logic with numerical understanding—these models often falter, revealing a gap in their ability to mimic human cognitive processes comprehensively.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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The Era of Advancement: 15 AI Robots of 21st Century

Analytics Vidhya

Introduction Imagine a walking machine doing all your work, from household chores to flipping wooden logs in a factory. It would be fascinating, right? It is possible today with an AGI Robot. When it comes to reliability, these AGI robots’ unique ability to learn and adapt to individual preferences and routines makes them not just […] The post The Era of Advancement: 15 AI Robots of 21st Century appeared first on Analytics Vidhya.

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Last-Minute Eclipse Tips: How to Watch and Photograph the Total Solar Eclipse on Monday

Extreme Tech

An astrophotographer from National Geographic offers his top tips for viewing and photographing Monday's stunning astronomical event.

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The Era of Advancement: 15 AI Robots of 21st Century

Analytics Vidhya

Introduction Imagine a walking machine doing all your work, from household chores to flipping wooden logs in a factory. It would be fascinating, right? It is possible today with an AGI Robot. When it comes to reliability, these AGI robots’ unique ability to learn and adapt to individual preferences and routines makes them not just […] The post The Era of Advancement: 15 AI Robots of 21st Century appeared first on Analytics Vidhya.

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Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation

AWS Machine Learning Blog

Amazon Rekognition makes it easy to add image and video analysis to your applications. It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning (ML) expertise to use and we’re continually adding new computer vision features to the service.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Enhancing Video AI with Smart Caption-Based Rewards

Marktechpost

In the field of machine learning, aligning language models (LMs) to interact appropriately with multimodal data like videos has been a persistent challenge. The crux of the issue lies in developing a robust reward system that can distinguish preferred responses from less desirable ones, especially when dealing with video inputs. The risk of hallucinations further exacerbates this challenge – instances where models generate misleading or factually inconsistent content due to the scarcity of align

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Top Important Computer Vision Papers for the Week from 25/03 to 31/03

Towards AI

Last Updated on April 5, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, generative adversarial networks (GANs), image segmentation, video analysis, and more.

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Researchers at Google AI Innovates Privacy-Preserving Cascade Systems for Enhanced Machine Learning Model Performance

Marktechpost

The cascades concept has emerged as a critical mechanism, particularly for large language models (LLMs). These cascades enable a smaller, localized model to seek assistance from a significantly larger, remote model when it encounters challenges in accurately labeling user data. Such systems have gained prominence for their ability to maintain high task performance while substantially lowering inference costs.

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How to Deploy Models Larger than 100MB on Streamlit

Towards AI

Last Updated on April 5, 2024 by Editorial Team Author(s): Rifat Monzur Originally published on Towards AI. Three methods for deploying machine learning models larger than 100MB on StreamlitPhoto by Pat Whelen on Unsplash For the last couple of months, I’ve been searching for an easy solution to create user interfaces and deploy my data science projects for the world to see (by ‘world,’ I mean myself and a couple of my buddies).

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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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Researchers from NYU and the University of Maryland Unveil an Artificial Intelligence Framework for Understanding and Extracting Style Descriptors from Images

Marktechpost

Digital artistry intersects seamlessly with technological innovation, and generative models have carved a niche, transforming how graphic designers and artists conceive and realize their creative visions. Among these, models like Stable Diffusion and DALL-E stand out, capable of distilling vast troves of online imagery into distinct artistic styles.

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Deploying Third-party models securely with the Databricks Data Intelligence Platform and HiddenLayer Model Scanner

databricks

Introduction The ability for organizations to adopt machine learning, AI, and large language models (LLMs) has accelerated in recent years thanks to the.

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Meet Atla: A Machine Learning Startup Building an AI Evaluation Model to Unlock the Full Potential of Language Models for Developers

Marktechpost

Large language models (LLMs) are in charge of innovation in the rapidly expanding artificial intelligence (AI) field. When creating new text forms and human-like dialogue, LLMs are pushing the envelope of what machines can do. Nevertheless, a significant challenge persists: precisely assessing their capacities. Challenges in LLM evaluation The current approaches to LLM evaluation have many issues.

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Webb Telescope Sees Starburst Galaxy in a New Light

Extreme Tech

M82 displays a 'frenzy of star formation,' and Webb is learning why.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Meet SWE-Agent: An Open-Source Software Engineering Agent that can Fix Bugs and Issues in GitHub Repositories

Marktechpost

Fixing bugs and issues in code repositories can be challenging in software engineering. Imagine encountering a bug in a GitHub repository and not knowing how to fix it! While some solutions are available to help with this problem, they may not always be efficient or effective. One existing solution is manually searching for and fixing code repository bugs.

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Report: Tesla Cancels Low-Cost Model 2 EV

Extreme Tech

The Model 2 may be repurposed as a robotaxi, but you won't be able to buy one.

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This AI Paper from China Proposes a Novel Architecture Named-ViTAR (Vision Transformer with Any Resolution)

Marktechpost

The remarkable strides made by the Transformer architecture in Natural Language Processing (NLP) have ignited a surge of interest within the Computer Vision (CV) community. The Transformer’s adaptation in vision tasks, termed Vision Transformers (ViTs), delineates images into non-overlapping patches, converts each patch into tokens, and subsequently applies Multi-Head Self-Attention (MHSA) to capture inter-token dependencies.