October, 2022

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Non-Generalization and Generalization of Machine learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […]. The post Non-Generalization and Generalization of Machine learning Models appeared first on Analytics Vidhya.

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RecSys 2022: Recap, Favorite Papers, and Lessons

Eugene Yan

My three favorite papers, 17 paper summaries, and ML and non-ML lessons.

ML 130
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The Illustrated Stable Diffusion

Jay Alammar

Translations: Chinese , Vietnamese. ( V2 Nov 2022 : Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art.

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3 AI Trends from the Big Data & AI Toronto Conference

DataRobot Blog

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. The DataRobot expo booth at the 2022 conference showcased our AI Cloud platform with industry-specific demonstrations including Anti-Money Laundering for Financial Services , Predictive Maintenance for Manufacturing and Sales Forecasting for Retail.

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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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Discovering novel algorithms with AlphaTensor

DeepMind

In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices. This paper is a stepping stone in DeepMind’s mission to advance science and unlock the most fundamental problems using AI.

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Data Science Tools for Vaccine Design and Development

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Biopharmaceutical Industries are the fastest growing industries after considering the basic need for the healthy life of humans and animals. Based on the available literature, the author has identified six major thrust areas of the Biopharmaceutical industry, which has summarized in the […].

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Open Images V7 — Now Featuring Point Labels

Google Research AI blog

Posted by Rodrigo Benenson, Research Scientist, Google Research Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. Researchers around the world use Open Images to train and evaluate computer vision models. Since the initial release of Open Images in 2016, which included image-level labels covering 6k categories, we have provided multiple updates to enrich annotations and expand the potential use cases of the dataset.

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6 ways sentiment analysis will help your business

Dlabs.ai

These days, companies compete to create the most innovative solutions, products, and offers possible, hoping to win new customers. But are they based on ideas alone? Or actual user needs? As it turns out, it looks like the former because research shows that 56% of consumers believe businesses need a deeper understanding of what they want. This is where sentiment analysis can help.

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Using Artificial Intelligence as a Powerful Cybersecurity Tool

Defined.ai blog

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. They also became prime targets for the next big cyberattack. In the case of Zoom, hackers succeeded in April 2020, with a large data breach that exposed an estimated 500,000 user passwords.

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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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Digital transformation with Google Cloud

DeepMind

We’ve partnered with Google Cloud over the last few years to apply our AI research for making a positive impact on core solutions used by their customers. Here, we introduce a few of these projects, including optimising document understanding, enhancing the value of wind energy, and offering easier use of AlphaFold.

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The Business Case For AI: A Review by Customer Contact Week Conference & Magazine

Kavita Ganesan

“Stop using AI.” This is how Dr. Kavita Ganesan, an AI expert since 2005, begins her book The Business Case for AI. In a refreshingly direct tone, Ganesan goes on to deliver the news that, yes, you probably need to rethink your use of AI and, no, it does not need to be this difficult or this expensive. While AI is a necessary tool for businesses to remain competitive, many find themselves worried about the investment, and the consequences– what if I’m using AI to solve the wrong problems?

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A Quick Guide to Blockchain: Merkle Tree

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A Merkle tree is a basic component of blockchain technology. It is a mathematical data structure composed of hashes of different data blocks that serve as a summary of all transactions in the block. It also enables efficient and secure verification of […]. The post A Quick Guide to Blockchain: Merkle Tree appeared first on Analytics Vidhya.

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Paper Summary #7 - Efficient Transformers: A Survey

Shreyansh Singh

Paper : Efficient Transformers: A Survey Link : [link] Authors : Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler I wanted to summarize this paper for a long time now because of the immense amount of information in this paper. Thanks to the Cohere For AI community for having a session on this paper which made me revisit this. What? This is a survey paper on the various memory-efficiency based improvements on the original Transformers architecture by Vaswani et al.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Unstructured Synthetic Text. Beyond tabular data

Bitext

The case for evaluation of NLU platforms Synthetic image and video have proven to be a big success for cost-cutting. Synthetic text is following suit: tabular data (that is the data organized in a table with rows and columns) is becoming mainstream already, and the next step is synthetic unstructured text, which is the data that doesn`t have a predefined format.

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AI Joins The Dark Side

Dlabs.ai

It shouldn’t come as a surprise to hear that Hollywood loves AI. Several of the world’s most iconic movies touch on AI in some way, with C3PO of Star Wars fame being one of the best-known examples (BTW — we’ve published an article on the top AI movies of all time , so if you’re looking for your next blockbuster, give it a read after this). Until now, AI has mostly been on the good side of power, but recently, our favorite enterprise made a decision that slightly alters this picture.

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Stopping malaria in its tracks

DeepMind

When biochemist Matthew Higgins established his research group in 2006, he had malaria firmly in his sights. The mosquito-borne disease is second only to tuberculosis in terms of its devastating global impact. Malaria killed an estimated 627,000 people in 2020, mostly children under five, and almost half of the world’s population is within its reach, though Africa is by far the hardest hit.

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What went wrong with Tay, the Twitter bot that turned racist?

Kavita Ganesan

Of late, we’ve been hearing about Twitter bots in the news due to the whole saga of Elon Musk buying Twitter. One of the reasons the deal took so long to pan out was Musk’s concerns about the number of spam bots running rampant on the platform. While Musk believes that bots make up more than 20% of accounts on Twitter, Twitter states that the number of bots on its platform is marginal.

ML 52
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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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Three R Libraries for Automated EDA

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use. This collected data, known as big data, holds valuable […].

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Finetuning and Bulk Labelling Images with Prodigy

Explosion

Prodigy is a modern annotation tool for collecting training data for machine learning models developed by the makers of spaCy. In this video, we'll show how.

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Multilingual Synthetic Training Data For Intent Detection

Bitext

What Is Synthetic training data? Synthetic Training data is the data that is used to train an NLU engine. An NLU engine allows chatbots to understand the intent of user queries. The training data is enriched by data labeling or data annotation, with information about entities, slots… This training process provides the bot with the ability to hold a meaningful conversation with real people.

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1st Two Lessons of From Deep Learning Foundations to Stable Diffusion

fast.ai

The University of Queensland has opened the course to late registrations, if you want to join the rest of the course live: register here.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Measuring perception in AI models

DeepMind

Perception – the process of experiencing the world through senses – is a significant part of intelligence. And building agents with human-level perceptual understanding of the world is a central but challenging task, which is becoming increasingly important in robotics, self-driving cars, personal assistants, medical imaging, and more. So today, we’re introducing the Perception Test, a multimodal benchmark using real-world videos to help evaluate the perception capabilities of a model.

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What Is Hyperautomation?

O'Reilly Media

Gartner has anointed “Hyperautomation” one of the top 10 trends for 2022. Should it be? Is it a real trend, or just a collection of buzzwords? As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” And it’s never bubbled up far enough into our consciousness to make it into our monthly Trends piece.

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An Overview of Graph Machine Learning and Its Working

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Graph machine learning is quickly gaining attention for its enormous potential and ability to perform extremely well on non-traditional tasks. Active research is being done in this area (being touted by some as a new frontier of machine learning), and open-source libraries […].

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How the Guardian approaches quote extraction with NLP

Explosion

A case study of the Guardian's spaCy-Prodigy workflow to modularize quote extraction for content creation. This study includes iterative annotation guidelines and custom interface functionality.

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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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Can You Estimate How Long It Will Take McLaren Formula 1 Team to Complete a Race Through ML and Human Intelligence?

DataRobot Blog

Are you new to Formula 1? Want to learn how AI/ML can be so effective in this space? 3. 2.1. Let’s begin! F1 is one of the most popular sports in the world and is also the highest class of international racing for open-wheeled single-seater formula racing cars. Made up of 20 cars from 10 teams, the sport has only become more popular after all the recent documentaries on drivers, team dynamics, car innovations, and the general celebrity level status that most races and drivers receive across the

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Delegate.cash Contract Review

StreamHacker

Delegate.cash is a new protocol intended to make airdrops and token claims safer. If you have vaulted NFTs, you strongly want to avoid using that vault wallet to interact with any contracts. And if you have to move NFTs back & forth between your vault wallet and hot wallet to make claims, then you probably won’t. foobar , one of the authors of delegate.cash, has a great write up on why this kind of protocol needs to exist.

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Measuring perception in AI models

DeepMind

Perception – the process of experiencing the world through senses – is a significant part of intelligence. And building agents with human-level perceptual understanding of the world is a central but challenging task, which is becoming increasingly important in robotics, self-driving cars, personal assistants, medical imaging, and more. So today, we’re introducing the Perception Test, a multimodal benchmark using real-world videos to help evaluate the perception capabilities of a model.