Towards AI

DECEMBER 31, 2023

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 — before they have the potential to cause irreparable harm.

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Analytics Vidhya

JANUARY 3, 2024

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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AI Impacts

JANUARY 4, 2024

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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Large Language Models AI Researcher AI Research AI 351

IBM Journey to AI blog

JANUARY 3, 2024

Most everyone has heard of large language models, or LLMs, since generative AI has entered our daily lexicon through its amazing text and image generating capabilities, and its promise as a revolution in how enterprises handle core business functions. Now, more than ever, the thought of talking to AI through a chat interface or have it perform specific tasks for you, is a tangible reality.

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Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

AI

Unite.AI

JANUARY 1, 2024

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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AI News

JANUARY 2, 2024

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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IBM Journey to AI blog

JANUARY 5, 2024

Derived from the Greek words for “hidden writing,” cryptography is the science of obscuring transmitted information so that only the intended recipient can interpret it. Since the days of antiquity, the practice of sending secret messages has been common across almost all major civilizations. In modern times, cryptography has become a critical lynchpin of cybersecurity.

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Algorithm Computer Scientist 310

Unite.AI

JANUARY 3, 2024

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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Analytics Vidhya

JANUARY 4, 2024

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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Generative AI

AI News

JANUARY 3, 2024

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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Flipboard

JANUARY 5, 2024

Generative AI—think Dall.E, ChatGPT-4, and many more—is all the rage. It’s remarkable successes, and occasional catastrophic failures, have kick-started important debates about both the scope and dangers of advanced forms of artificial intelligence.

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Marktechpost

JANUARY 5, 2024

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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Analytics Vidhya

JANUARY 5, 2024

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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Speaker: Gary Dmitriev

Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.

Automation

AI News

JANUARY 5, 2024

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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Flipboard

JANUARY 4, 2024

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.

AI Modeling 181

AI Modeling Generative AI AI AI 181

Marktechpost

JANUARY 4, 2024

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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Analytics Vidhya

DECEMBER 31, 2023

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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Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

Generative AI

Towards AI

JANUARY 2, 2024

Last Updated on January 3, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Getting Started with Google's Latest Multi-Modal AI Model Gemini, the latest LLM model from Google, marks a significant leap forward in the realm of perfect answers to your questions using images, audio, and text. Concurrently, Bard, its predecessor, is making a notable comeback.

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LLM Python AI Modeling AI 120

Flipboard

JANUARY 4, 2024

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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Marktechpost

JANUARY 1, 2024

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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Machine Learning ML Explainability Algorithm 140

Analytics Vidhya

JANUARY 3, 2024

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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Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

databricks

JANUARY 4, 2024

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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LLM Generative AI AI AI 138

Flipboard

JANUARY 3, 2024

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.

Machine Learning 181

Machine Learning 181

Marktechpost

JANUARY 5, 2024

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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Analytics Vidhya

DECEMBER 31, 2023

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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Generative AI

Towards AI

JANUARY 2, 2024

Last Updated on January 3, 2024 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI. In this article, I will introduce you to Computer Vision, explain what it is and how it works, and explore its algorithms and tasks.Foto di Ion Fet su Unsplash In the realm of Artificial Intelligence, Computer Vision stands as a fascinating and revolutionary field.

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Flipboard

JANUARY 3, 2024

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.

Machine Learning 181

Machine Learning AI AI 181

Marktechpost

JANUARY 2, 2024

Transformer-based LLMs have significantly advanced machine learning capabilities, showcasing remarkable proficiency in domains like natural language processing, computer vision, and reinforcement learning. These models, known for their substantial size and computational demands, have been at the forefront of AI development. However, a central challenge still needs to be solved in optimizing their performance without further escalating their already considerable size and computational requirement

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Machine Learning Natural Language Processing Computer Vision LLM 137