Wed.May 31, 2023

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Liquid Neural Networks: Definition, Applications, & Challenges

Unite.AI

A neural network (NN) is a machine learning algorithm that imitates the human brain's structure and operational capabilities to recognize patterns from training data. Through its network of interconnected artificial neurons that process and transmit information, neural networks can perform complex tasks such as Facial Recognition , Natural Language Understanding , and predictive analysis without human assistance.

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The Art of Crafting Powerful Prompts: A Guide to Prompt Engineering

Analytics Vidhya

Introduction Prompt engineering is a relatively new field focusing on creating and improving prompts for using language models (LLMs) effectively across various applications and research areas. We can easily understand the capabilities and restrictions of large language models( LLMs) with the aid of quick engineering skills. Researchers intensively use prompt engineering to increase LLMs’ capacity for […] The post The Art of Crafting Powerful Prompts: A Guide to Prompt Engineering ap

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Connected products at the edge

IBM Journey to AI blog

There are many overlapping business usage scenarios involving both the disciplines of the Internet of Things (IoT) and edge computing. But there is one very practical and promising use case that has been commonly deployed without many people thinking about it: connected products. This use case involves devices and equipment embedded with sensors, software and connectivity that exchange data with other products, operators or environments in real-time.

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Introduction to Vision Transformers (ViT)

Analytics Vidhya

Introduction Over the years, we have been using Computer vision (CV) and image processing techniques from artificial intelligence (AI) and pattern recognition to derive information from images, videos, and other visual inputs. Underlying methods successfully achieve this by manipulating digital images through computer algorithms. Researchers found that regular models had limitations in some applications, which […] The post Introduction to Vision Transformers (ViT) appeared first on Analyti

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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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Laura Petrich, PhD Student in Robotics & Machine Learning – Interview Series

Unite.AI

Laura is currently pursuing a Ph.D. in Computing Science under the supervision of Dr. Patrick Pilarski and Dr. Matthew E. Taylor. She received a B.Sc. with Honors in Computing Science from the University of Alberta in 2019 and an M.Sc. in Computing Science from the University of Alberta in 2022. Her research interests include reinforcement learning, human-robot interaction, biomechatronics, and assistive robotics.

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Join us at PrestoCon Day, a free virtual community event

IBM Journey to AI blog

The Presto Foundation is excited to share its upcoming virtual community conference PrestoCon Day , taking place on 7 June 2023. Register for the free, virtual event What is Presto? Presto is an open-source, fast and reliable SQL query engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. Some of the biggest companies in the world are contributing to the Presto open-source project, including Meta, Uber and Intel.

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Revolutionizing Holography with AI: The Mona Lisa’s New Lease of Life

Analytics Vidhya

Leonardo da Vinci’s masterpiece, the Mona Lisa, has been given a new lease of life thanks to artificial intelligence (AI). International researchers have used state-of-the-art neural networks and machine learning to create a holographic projection of the iconic painting. They hope their breakthrough will revolutionize the field of holography by making it more efficient and […] The post Revolutionizing Holography with AI: The Mona Lisa’s New Lease of Life appeared first on Analy

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Why trust and safety in enterprise AI is (relatively) easy

Cassie Kozyrkov

Why traditional AI has the reliability advantage over generative AI Continue reading on Towards Data Science »

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Renowned AI Pioneer Thinks Humanity is at Risk Because of AI

Analytics Vidhya

Yoshua Bengio is a prominent figure in artificial intelligence (AI). He is the founder and scientific director of the Montreal Institute for Learning Algorithms. He has expressed his concerns about AI’s potential risks. In an interview with CTV’s Question Period host Vassy Kapelos, Bengio stated that some AI technologies are rapidly approaching human intelligence levels, […] The post Renowned AI Pioneer Thinks Humanity is at Risk Because of AI appeared first on Analytics Vidhya

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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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AI leaders warn about ‘risk of extinction’ in open letter

AI News

The Center for AI Safety (CAIS) recently issued a statement signed by prominent figures in AI warning about the potential risks posed by the technology to humanity. “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war,” reads the statement. Signatories of the statement include renowned researchers and Turing Award winners like Geoffery Hinton and Yoshua Bengio, as well as executives from OpenAI and DeepMind,

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Guardians of the Internet: Power of Data Science in Bot Detection

Analytics Vidhya

Introduction This article presents an overview of the problem of bot detection, emphasizing the key challenges related to detecting bots. It explores various techniques and methods widely employed to identify and block bot activity. The article will also discuss the implications of bot detection for online privacy, security. It also examines the role of machine […] The post Guardians of the Internet: Power of Data Science in Bot Detection appeared first on Analytics Vidhya.

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Keep it simple: How to succeed at business transformation using behavioral economics

IBM Journey to AI blog

Business leaders often think it’s impossible to predict the outcome of a transformation effort—whether employees will embrace a new process, for example, or how customers will react to a new service. They’re missing out on a secret of change management, says IBM Global Managing Partner Jesus Mantas: “You really can predict, for the most part, why people do what they do.” The answers, he says, come from ​​behavioral economics.

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India to Propose AI-based Portal for MSMEs at G20: A Game Changer for Small Businesses

Analytics Vidhya

India’s set to make a groundbreaking move at the G20 summit by proposing to create an Artificial Intelligence (AI)-based portal. This innovative platform aims to assist Micro, Small, and Medium Enterprises (MSMEs) in the developing world by providing comprehensive data on global supply chains. With the potential to revolutionize information access and boost business-to-business cooperation, […] The post India to Propose AI-based Portal for MSMEs at G20: A Game Changer for Small Busin

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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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Why multi-purpose systems are hard to design safely

Cassie Kozyrkov

A non-AI analogy to explain a difference between generative and traditional enterprise AI systems Continue reading on Medium »

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Breaking Barriers: ChatGPT’s Radiology Exam Triumph and Limitations Unveiled!

Analytics Vidhya

In a groundbreaking development, the latest version of ChatGPT has astounded the medical community by passing a rigorous radiology board-style exam. This achievement has shed light on large language models‘ immense potential while highlighting the limitations that impede their reliability. Recent research studies published in Radiology have unveiled both the triumphs and challenges of integrating […] The post Breaking Barriers: ChatGPT’s Radiology Exam Triumph and Limitations U

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Generative AI vs Traditional Enterprise AI Systems

Cassie Kozyrkov

How the builders of foundational LLMs think Continue reading on Medium »

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AI Everywhere, All at Once

Flipboard

It’s been a frenetic six months since OpenAI introduced its large language model ChatGPT to the world at the end of last year. Every day since then, I’ve had at least one conversation about the consequences of the global AI experiment we find ourselves conducting. We aren’t ready for this, and by we, I mean everyone–individuals, institutions, governments, and even the corporations deploying the technology today.

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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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Understanding the role of privacy and security in responsible innovation

SAS Software

As organizations embrace AI, they often handle large volumes of data that power AI systems. Handling data appropriately includes implementing adequate privacy policies and security measures to protect it. Doing so prevents accidental exposure and ensures ethical data use. AI technology often uses sensitive data for creating, training and utilizing models. [.

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AI chips are hot. Here's what they are, what they're for and why investors see gold

Flipboard

SAN FRANCISCO (AP) — The hottest thing in technology is an unprepossessing sliver of silicon closely related to the chips that power video game graphics. It’s an artificial intelligence chip, designed specifically to make building AI systems such as ChatGPT faster and cheaper.

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Researchers Find 2,700-Year-Old Petroglyphs Depicting Ships, People

Extreme Tech

The images could have comprised a narrative, fulfilled a spiritual purpose, or even shared messages with passersby.

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These Are the Jobs Most Likely To Be Eliminated by Generative A.I.

Flipboard

And in an ironic twist, they won't stop talking about it. The fear-mongering around Generative A.I. and ChatGPT taking jobs from hard-working, knowledge-economy humans has reached a fever pitch.

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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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Mastering Sentiment Analysis with Python using the Attention Mechanism

Towards AI

Last Updated on June 2, 2023 by Editorial Team Author(s): The AI Quant Originally published on Towards AI. Businesses across industries now recognize the importance of understanding customer opinions and sentiments. By gauging the sentiment behind product reviews, brand mentions, and service feedback, companies can gain vital insights into customer satisfaction, brand perception, and market trends.

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Using ChatGPT this robot formed a unique sense of self-awareness

Flipboard

Apparently, robots can develop phobias, too. Employees at Clear Path Robotics are testing interactions between man and machine. Echo 4-R is a robot that was given the ability to communicate via AI. Using ChatGPT this machine formed a unique sense of self-awareness.

Robotics 119
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Harnessing the Power of LLMs: Code Generation Unleashed

Towards AI

Last Updated on June 2, 2023 by Editorial Team Author(s): Patrick Meyer Originally published on Towards AI. Photo by Chris Ried on Unsplash Code generation using generative AI is an important new area used to predict code or program structure from incomplete data sources, programs written in another programming language, natural language descriptions, or execution logs.

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As Nvidia and Adobe double down on generative AI, scientists and CEOs sound the alarm

Flipboard

This week saw executives and scientists sign another letter warning against the dangers of AI. Plus: Adobe releases new AI tools, and why Apple’s mixed reality headset could have an AI twist.

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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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Study Materials and resources to prepare for the GRE

Great Learning

The Graduate Record Examination, or GRE, is a standardized test that is commonly used for graduate school admissions in the United States and other countries. The GRE exam is designed to measure a student’s verbal reasoning, quantitative reasoning, and analytical writing skills. While the GRE General Test is required for most graduate programs, the GRE … Study Materials and resources to prepare for the GRE Read More » The post Study Materials and resources to prepare for the GRE appe

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AI Tools Can Help You Write Code, but Not Everyone Thinks They're Useful

Flipboard

Nvidia's CEO recently said generative AI could allow people to write code using their voice, but other experts say that AI won't replace programmers, only augment their efforts.

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Understanding K-Nearest Neighbors: A Simple Approach to Classification and Regression

Towards AI

Last Updated on June 2, 2023 by Editorial Team Author(s): Pranay Rishith Originally published on Towards AI. Photo by Avi Waxman on Unsplash What is KNN Definition K-Nearest Neighbors (KNN) is a supervised algorithm. The basic idea behind KNN is to find K nearest data points in the training space to the new data point and then classify the new data point based on the majority class among the k nearest data points.