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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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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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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How to Not Boil the Oceans with AI

Unite.AI

As we navigate the frontier of artificial intelligence, I find myself constantly reflecting on the dual nature of the technology we're pioneering. AI, in its essence, is not just an assembly of algorithms and datasets; it's a manifestation of our collective ingenuity, aimed at solving some of the most intricate challenges facing humanity. Yet, as the co-founder and CEO of Lemurian Labs , I'm acutely aware of the responsibility that accompanies our race toward integrating AI into the very fabric

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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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Build Audio LLM Apps with AssemblyAI

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community LeMUR Cookbooks: Build Audio LLM Apps LeMUR  is the easiest way to code applications that apply LLMs to speech. In just a few lines of code, you can  search ,  summarize ,  ask questions , and  generate text  across your audio and video data.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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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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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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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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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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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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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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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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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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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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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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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 Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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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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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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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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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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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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How Are Generative Retrieval and Multi-Vector Dense Retrieval Related To Each Other?

Marktechpost

In recent years, there has been a significant surge in the adoption of pre-trained language models, leading to an increase in the use of neural-based retrieval models. One such technique that has gained popularity for its effectiveness is Dense Retrieval (DR), which achieves great ranking performance on a number of benchmarks. The goal of Multi-Vector Dense Retrieval (MVDR) techniques is to use several vectors to describe documents or queries.

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