Sat.Dec 30, 2023 - Fri.Jan 05, 2024

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60+ Generative AI Terms You Must Know By Heart

Analytics Vidhya

Explore the vast artificial intelligence and machine learning field with this alphabetized guide below. From Agents and AGI to Zero-shot Learning and everything in between, explore the intricate language of AI with concise explanations and vivid examples. Whether you’re a seasoned practitioner or a curious novice, these Generative AI terms aim to be your go-to […] The post 60+ Generative AI Terms You Must Know By Heart appeared first on Analytics Vidhya.

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Survey of 2,778 AI authors: six parts in pictures

AI Impacts

The 2023 Expert Survey on Progress in AI is out , this time with 2778 participants from six top AI venues (up from about 700 and two in the 2022 ESPAI ), making it probably the biggest ever survey of AI researchers. People answered in October, an eventful fourteen months after the 2022 survey, which had mostly identical questions for comparison. Here is the preprint.

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Revolutionizing 3D Printing: Generative AI’s Role in Sustainable Design

Unite.AI

Sustainability is a pressing concern in modern industries, including the field of 3D Printing. To meet the increasing demand for eco-friendly manufacturing practices, 3D Printing has emerged as a promising solution. However, there are still several challenges that need to be addressed in order to make 3D Printing more sustainable. At the forefront of this transformative shift is Generative AI , a powerful force that has the potential to enhance the sustainable capabilities of 3D Printing.

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US Chief Justice: AI won’t replace judges but will ‘transform our work’

AI News

In the Federal Judiciary’s year-end report , US Chief Justice John Roberts addressed the potential impact of AI on the judicial system. In particular, he aimed to quell concerns about the obsolescence of judges in the face of technological advancements. “As 2023 draws to a close with breathless predictions about the future of artificial intelligence, some may wonder whether judges are about to become obsolete.

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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.

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Google and Stanford Develop AI Housemaid

Analytics Vidhya

Stanford University has introduced Mobile ALOHA, a robotic system that advances the capabilities of bimanual mobile manipulation through low-cost whole-body teleoperation. This innovation, which builds upon Google DeepMind’s existing ALOHA system, brings mobility and dexterity to the forefront of robotic learning. The project developed in collaboration with Berkeley University and Meta has many features, which […] The post Google and Stanford Develop AI Housemaid appeared first on An

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Midjourney Plans to Introduce a Text-to-Video Model

Unite.AI

In a significant evolution within the AI content creation landscape, Midjourney, a name synonymous with innovative image generation, is now setting its sights on the realm of video. This strategic shift marks a pivotal moment for the company, renowned for its impressive AI-driven image creation tool operated within a Discord server. Midjourney's expansion into video generation signals not just the growth of the company itself but also reflects a broader trend in the AI industry towards more dyna

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MyShell releases OpenVoice voice cloning AI

AI News

A new open-source AI called OpenVoice offers voice cloning with unprecedented speed and accuracy. Developed by researchers at MIT, Tsinghua University, and Canadian startup MyShell, OpenVoice uses just seconds of audio to clone a voice and allows granular control over tone, emotion, accent, rhythm, and more. MyShell unveiled OpenVoice in a post this week, linking to a pre-reviewed research paper explaining the technology as well as demo sites on MyShell and HuggingFace where users can try it.

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Unveiling the Creative Frontier: Generative AI’s Impact on Design, Innovation, and Collaboration

Analytics Vidhya

Introduction Generative AI, or generative adversarial networks (GANs), is a subset of artificial intelligence that focuses on creating new content, such as images, videos, and music. In recent years, generative AI has made significant strides in design, revolutionizing how we create and interact with digital content. This article will explore the innovations and challenges associated […] The post Unveiling the Creative Frontier: Generative AI’s Impact on Design, Innovation, and Colla

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How to Red Team a Gen AI Model

Flipboard

Red teaming, a structured testing effort to find flaws and vulnerabilities in an AI system, is an important means of discovering and managing the risks posed by generative AI. The core concept is trusted actors simulate how adversaries would attack any given system. The term was popularized during the Cold War when the U.S. Defense Department tasked “red teams” with acting as the Soviet adversary, while blue teams were tasked with acting as the United States or its allies.

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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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ChatGPT Meets Its Match: The Rise of Anthropic Claude Language Model

Unite.AI

Over the past year, generative AI has exploded in popularity, thanks largely to OpenAI's release of ChatGPT in November 2022. ChatGPT is an impressively capable conversational AI system that can understand natural language prompts and generate thoughtful, human-like responses on a wide range of topics. However, ChatGPT is not without competition. One of the most promising new contenders aiming to surpass ChatGPT is Claude, created by AI research company Anthropic.

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OpenAI’s GPT Store to launch next week after delays

AI News

OpenAI has announced that its GPT Store, a platform where users can sell and share custom AI agents created using OpenAI’s GPT-4 large language model, will finally launch next week. An email was sent to individuals enrolled as GPT Builders that urges them to ensure their GPT creations align with brand guidelines and advises them to make their models public: The GPT Store was unveiled at OpenAI’s November developers conference, revealing the company’s plan to enable users to bui

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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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ChatGPT could soon replace Google Assistant on your Android phone

Flipboard

Asking ChatGPT a question won’t feel as clunky on Android anymore The hottest tech trend of 2023 was generative AI, led by chatbots like OpenAI’s ChatGPT. There are many ways to use ChatGPT on your Android phone, with the easiest being through OpenAI’s official ChatGPT app for Android.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Researchers from Google Propose a New Neural Network Model Called ‘Boundary Attention’ that Explicitly Models Image Boundaries Using Differentiable Geometric Primitives like Edges, Corners, and Junctions

Marktechpost

Distinguishing fine image boundaries, particularly in noisy or low-resolution scenarios, remains formidable. Traditional approaches, heavily reliant on human annotations and rasterized edge representations, often need more precision and adaptability to diverse image conditions. This has spurred the development of new methodologies capable of overcoming these limitations.

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LLM Training and Inference with Intel(R) Gaudi(R) 2 AI Accelerators

databricks

At Databricks, we want to help our customers build and deploy generative AI applications on their own data without sacrificing data privacy or.

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Safetensors: A Secure Approach to Storing and Distributing Tensors

Analytics Vidhya

Introduction In Artificial intelligence and machine learning, the demand for efficient and secure data handling has never been greater. One crucial element in this process is the management of tensors, the fundamental building blocks of machine learning models. As the volume of sensitive data used in these models continues to rise, ensuring the security and […] The post Safetensors: A Secure Approach to Storing and Distributing Tensors appeared first on Analytics Vidhya.

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Stanford’s mobile ALOHA robot learns from humans to cook, clean, do laundry

Flipboard

A new AI system developed by researchers at Stanford University makes impressive breakthroughs in training mobile robots that can perform complex tasks in different environments.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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Meet SPACEL: A New Deep-Learning-based Analysis Toolkit for Spatial Transcriptomics

Marktechpost

Scientists traditionally examine tissues by analyzing the expression levels of genes in individual cells using a technique known as spatial transcriptomics (ST). Researchers gain insights into cells’ spatial organization and function by measuring the quantity of RNA in specific locations within a tissue. Spatial transcriptomics (ST) technologies have been instrumental in unraveling the mysteries of mRNA expression in individual cells while maintaining their spatial coordinates.

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Shaping the future of advanced robotics

DeepMind

AutoRT, SARA-RT, and RT-Trajectory build on our historic Robotics Transformers work to help robots make decisions faster, and better understand and navigate their environments.

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‘AI Models are Gender Biased,’ Proves Research

Analytics Vidhya

In a groundbreaking study, the University of Michigan has brought attention to an unsettling revelation regarding large language models (LLMs) and their response to social roles. The research, spanning 2,457 questions and 162 social roles, reveals a concerning bias in AI models, favoring gender-neutral or male social roles over female roles. Also Read: Major Error […] The post ‘AI Models are Gender Biased,’ Proves Research appeared first on Analytics Vidhya.

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Satellite imagery analysis shows immense scale of dark fishing industry

Flipboard

Satellite imagery and machine learning offer a new, far more detailed look at the maritime industry, specifically the number and activities of fishing and transport ships at sea. Turns out there are way more of them than publicly available data would suggest, a fact that policymakers should heed.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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Meta Introduces HawkEye: Revolutionizing Machine Learning ML Debugging with Streamlined Workflows

Marktechpost

In machine learning (ML) research at Meta, the challenges of debugging at scale have led to the development of HawkEye, a powerful toolkit addressing the complexities of monitoring, observability, and debuggability. With ML-based products at the core of Meta’s offerings, the intricate nature of data distributions, multiple models, and ongoing A/B experiments pose a significant challenge.

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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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10 Best AI Image Enhancers To Use in 2024

Analytics Vidhya

Introduction In an era where visuals hold immense power, the quest for enhancing images has reached new heights. Enter AI image enhancers – revolutionary tools leveraging the prowess of artificial intelligence to transform ordinary visuals into extraordinary masterpieces. These AI-powered solutions employ sophisticated algorithms to elevate image quality, sharpen details, and breathe life into every […] The post 10 Best AI Image Enhancers To Use in 2024 appeared first on Analytics Vidhya.

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Satellite imagery analysis shows immense scale of dark fishing industry

Flipboard

Satellite imagery and machine learning offer a new, far more detailed look at the maritime industry, specifically the number and activities of fishing and transport ships at sea. Turns out there are way more of them than publicly available data would suggest, a fact that policymakers should heed. As a shared global resource, the oceans […] © 2023 TechCrunch.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr

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This AI Paper Explores How Code Integration Elevates Large Language Models to Intelligent Agents

Marktechpost

The field of Artificial Intelligence (AI) is set for a revolutionary change in the coming years. In a recent research paper, a team of researchers from the University of Illinois Urbana-Champaign has offered a thorough and detailed study of the mutually beneficial relationship that exists between code and Large Language Models (LLMs). This study has illuminated how code is essential to turning LLMs into intelligent agents and opens up a world of possibilities beyond traditional language comprehe

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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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How to Use XGBoost for Time-Series Forecasting?

Analytics Vidhya

Introduction Time-series forecasting is a crucial task in various domains, including finance, sales, and energy demand. Accurate forecasting allows businesses to make informed decisions, optimize resources, and plan for the future effectively. In recent years, the XGBoost algorithm has gained popularity for its exceptional performance in time-series forecasting tasks.

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