Sun.Dec 31, 2023

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What is MobileNetV2? Features, Architecture, Application and More

Analytics Vidhya

Introduction When it comes to image classification, the nimble models capable of efficiently processing images without compromising accuracy are essential. MobileNetV2 has emerged as a noteworthy contender, with substantial attention. This article explores MobileNetV2’s architecture, training methodology, performance assessment, and practical implementation.

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?The Advanced Manual of Self-Improvement?

Cassie Kozyrkov

Decision science tips to help you stick to your New Year’s resolutions Continue reading on The Startup ยป

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Hands-On Guide To Librosa For Handling Audio Files

Analytics Vidhya

Introduction Librosa is a powerful Python library that offers a wide range of tools and functionalities for handling audio files. Whether you’re a music enthusiast, a data scientist, or a machine learning engineer, Librosa can be a valuable asset in your toolkit. In this hands-on guide, we will explore the importance of Librosa for audio […] The post Hands-On Guide To Librosa For Handling Audio Files appeared first on Analytics Vidhya.

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Five ways artificial intelligence is rapidly changing our world

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The reach of generative artificial intelligence (AI) skyrocketed this year as tech companies raced to get ahead of each other while regulators and lawmakers looked to add guardrails.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin Oโ€™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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Do Language Models Know When They Are Hallucinating? This AI Research from Microsoft and Columbia University Explores Detecting Hallucinations with the Creation of Probes

Marktechpost

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks. Trained on large amounts of textual data, these models perform various tasks, including generating meaningful responses to questions, text summarization, translations, text-to-text transformation, and code completion.

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Meet Monster API: An AI-Focused Computing Infrastructure for Generative AI that Enables Simplified Fine-Tuning and Deployment of Open-Source Models

Marktechpost

With the constantly changing and growing field of Artificial Intelligence (AI), where new innovations are introduced every other day, it is important for scientists and researchers to stay ahead and keep track of potential developments in the future. In a recent tweet , a Twitter user named Santiago highlighted the growing need for expertise in areas like Large Language Model (LLM) application development, Retrieval Augmented Generation (RAG) workflows, optimizing open-source models, implementin

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AIโ€™s big test: Making sense of $4 trillion in medical expenses

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Hospitals and insurers are adopting AI tools to process bills. Big bucks are at stake. Hospitals and insurers are racing to find new artificial intelligence tools to give them an edge in billing and processing their part of the $4 trillion in medical expenses Americans accrue each year.

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Can Differential Privacy and Federated Learning Protect Your Privacy? This Paper Uncovers a Major Security Flaw in Machine Learning Systems

Marktechpost

Federated learning has attracted increasing interest from the research community in the past few years due to its capacity to provide privacy-preserving methods for building machine learning and deep learning models. Sophisticated Artificial Intelligence (AI) solutions have been made possible by utilizing the vast amounts of data currently available in the information technology field in conjunction with the most recent technological developments.

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AI Developments To Focus On In The New Year

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Media outlets across the globe hailed 2023 as the year of artificial intelligence, and McKinsey & Company spotlighted the rise of generative AI in particular. A Boston Consulting Group survey reveals that 62% of leaders are excited about AIโ€™s potential.

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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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This Paper Explores the Future of Diagnosing and Managing Chronic Painful Temporomandibular Disorders: The Revolutionary Role of AI and Neuroimaging

Marktechpost

Chronic painful Temporomandibular Disorders (TMD) present a multifaceted challenge in the medical field, primarily due to their intricate nature and the complexity of effectively diagnosing and treating them. Understanding the underlying mechanisms is crucial as a prevalent condition causing significant personal and economic impacts. The evolution of neuroimaging techniques has significantly advanced our understanding, highlighting the link between brain activity and the subjective experience of

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Logistic Regression for Image Classification Using OpenCV

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In a previous tutorial, we explored logistic regression as a simple but popular machine learning algorithm for binary classification implemented in the OpenCV library. So far, we have seen how logistic regression may be applied to a custom two-class dataset we have generated ourselves. In this tutorial, you will learn how the standard logistic regression […] The post Logistic Regression for Image Classification Using OpenCV appeared first on MachineLearningMastery.com.

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This AI Research from China Proposes YAYI2-30B: A Multilingual Open-Source Large Language Model with 30 Billion Parameters

Marktechpost

Researchers have identified a critical need for models tailored specifically for Chinese applications in large language models. The YAYI2-30B model addresses this imperative by refining the existing paradigms, aiming to overcome limitations encountered in models like MPT-30B, Falcon-40B, and LLaMA 2-34B. The central challenge revolves around developing a model capable of comprehending knowledge across diverse domains and excelling in mathematical reasoning and programming tasks.

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Chief justice centers Supreme Court annual report on AIโ€™s dangers

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Chief Justice John Roberts warned that courts will need to consider the proper use of artificial intelligence (AI), portraying it as a new frontier for change in an annual report that follows a turbulent year for the Supreme Court. “I predict that human judges will be around for a while,” Roberts wrote in his report.

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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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This Paper Unveils โ€˜Machโ€™ (Make-A-Character): Revolutionizing 3D Character Creation with Machine Learning for the AI and Metaverse Era

Marktechpost

Realistic 3D avatars have become prevalent in video games, virtual reality/augmented reality experiences, and the film industry. The advent of the Metaverse and AI agents has fueled a growing need for customized and expressive character creation, especially in virtual meetings, conversational agents, and intelligent customer service. Despite this demand, crafting a personalized 3D avatar using conventional digital creation tools remains intricate and time-intensive.

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A look at the top science stories and breakthroughs of 2023

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As 2023 rolls to a close, Knowable Magazine has looked back over its articles and canvassed editorial committee members from the 51 academic journals โ€” โ€ฆ

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This Paper Explores AI-Driven Hedging Strategies in Finance: A Deep Dive into the Use of Recurrent Neural Networks and k-Armed Bandit Models for Efficient Market Simulation and Risk Management

Marktechpost

Artificial intelligence is used in all spheres of life, providing utility in all fields. It is used in finance, too, for managing risks associated with complex investment products known as derivative contracts. However, due to high transaction costs and other limitations, continuous trading may not be feasible. As a result, investors frequently make discrete portfolio adjustments to balance replication errors and trading costs while considering their risk tolerance levels.

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3 scary breakthroughs AI will make in 2024

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Although 2023 was a game-changing year for artificial intelligence, it was only the beginning, with 2024 set to usher in a host of scary advancements โ€ฆ

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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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Run Mixtral 8x7b on Google Colab Free

Towards AI

Last Updated on January 2, 2024 by Editorial Team Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A clever trick allows offloading some layers Hello, wonderful people! 2023 is almost over. But it seems like the development in LLMs has no breather. Today, we will see how Mixtral 8x7B could be run on Google Colab. Google Colab comes with the following confirmation.

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Chief Justice Roberts: Courts will be 'significantly affected' by artificial intelligence

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Roberts' annual report steered clear of the Supreme Court's decision to adopt a code of conduct this year in response to a series of ethics revelations.

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My Five Favorite AI Papers of 2023

TheSequence

Created Using DALL-E Next Week in The Sequence: Edge 357: Our series about LLM reasoning explores chain-of-thought (CoT) prompting including its original paper. We also explore the ThinkGPT framework. Edge 358: Dives into the AGENTS paper which proposes a framework for building semi-autonomous agents. You can subscribe below! TheSequence is a reader-supported publication.

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2023: The Year Generative AI Transformed Enterprise Data Management

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As 2023 ends, analyst Robert Kramer discusses the many changes the year brought for enterprise data management โ€” especially thanks to implementation of generative AI.

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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 whatโ€™s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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5 Free Practical Kaggle Notebook to Get Started With Time Series Analysis

Towards AI

Last Updated on January 2, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Unlocking Time Series Insights: Dive into 5 Free and Practical Kaggle Notebooks to Kickstart Your Analysis Time series data is one of the most common data types in the industry, and you will probably be working with it in your career. Therefore, understanding how to work with it and how to apply analytical and forecasting techniques are critical for every aspiring data scientist.

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Scientists discover the first new antibiotics in over 60 years using AI

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A new class of antibiotics for drug-resistant Staphylococcus aureus (MRSA) bacteria which was discovered using more transparent deep learning models.

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This AI Paper from NVIDIA Proposes Compact NGP (Neural Graphics Primitives): A Machine Learning Framework Corresponding Hash Tables with Learned Probes for Optimal Speed and Compression

Marktechpost

Neural graphics primitives (NGP) are promising in enabling the smooth integration of old and new assets across various applications. They represent images, shapes, volumetric and spatial-directional data, aiding in novel view synthesis (NeRFs), generative modeling, light caching, and various other applications. Notably successful are the primitives representing data through a feature grid containing trained latent embeddings, subsequently decoded by a multi-layer perceptron (MLP).

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Machine learning algorithm sets Bitcoin price for January 31, 2024

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As 2024 begins, many assets in the cryptocurrency sector are trading in the green zone, including Bitcoin (BTC), which has continued its move to the โ€ฆ

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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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Alibaba Announces RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D

Marktechpost

In the context of text-to-3D, the key challenge lies in lifting 2D diffusion to 3D generation. The existing methods face difficulties in creating geometry due to the absence of a geometric prior and the intricate interplay of materials and lighting in natural images. To tackle this, a team of researchers from Alibaba have proposed a Normal-Depth diffusion model named RichDreamer, designed to provide a robust geometric foundation for high-fidelity text-to-3D geometry generation.

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GenAI: Synthesizing DNA Sequences with LLM Techniques - DataScienceCentral.com

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When people talk about Large Language Models, the most common topics are text summarization, text generation, and answering prompts with GPT.

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Outsmarting the Masters: How Weak AI Trains Super AI

Towards AI

Last Updated on January 2, 2024 by Editorial Team Author(s): Yunzhe Wang Originally published on Towards AI. Superintelligent AI systems will be extraordinarily powerful; humans could face catastrophic risks including even extinction if those systems are misaligned or misused. It is important for AI developers to have a plan for aligning superhuman models ahead of time โ€” before they have the potential to cause irreparable harm.

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