Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Until recently, developing new, improved transformers specifically for a single modality was common practice. However, to tackle real-world tasks, there was a pressing need to develop multi-modal transformers models. Multi-modal transformers models are the type of models that employ the […].
AssemblyAI
DECEMBER 2, 2022
Today at AssemblyAI, we are excited to announce the release of several new Summarization AI models : The new models are: Informative which is best for files with a single speaker, like a presentation or lecture Conversational which is best for any multi-person conversation, like customer/agent phone calls or interview/interviewee calls Catchy which is best for creating video, podcast, or media titles Having been trained on data relevant to a specific use case, each model provides state-of-the-ar
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Cassie Kozyrkov
NOVEMBER 27, 2022
Introduction to “good” statistical estimators and their properties Continue reading on Towards Data Science »
Eugene Yan
NOVEMBER 26, 2022
The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.
Speaker: David Warren and Kevin O’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
Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction Which language do we use when it comes to data analysis? Of course, Python, isn’t it? But there is one more language for data analysis which is growing rapidly. Some of you might guess the language – I am talking about Julia. […]. The post An Introduction to Julia for Data Analysis appeared first on Analytics Vidhya.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Cassie Kozyrkov
NOVEMBER 30, 2022
A primer on interpreting other people’s hypothesis tests Continue reading on Towards Data Science »
OpenAI
NOVEMBER 30, 2022
We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT , which is trained to follow an instruction in a prompt and provide a detailed response.
Analytics Vidhya
DECEMBER 2, 2022
This article was published as a part of the Data Science Blogathon. Introduction K nearest neighbors are one of the most popular and best-performing algorithms in supervised machine learning. Furthermore, the KNN algorithm is the most widely used algorithm among all the other algorithms developed due to its speed and accurate results. Therefore, the data […].
DeepMind
NOVEMBER 30, 2022
Game-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego, the classic board game that’s more complex than chess and Go, and craftier than poker, has now been mastered. Published in Science, we present DeepNash, an AI agent that learned the game from scratch to a human expert level by playing against itself.
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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?
Explosion
DECEMBER 2, 2022
Named entity recognition models might not be able to handle a wide variety of spans, but Spancat certainly can! Dive into named entity recognition, its limitations, and how we’ve solved them with a solution-focused talk and practical applications.
NYU Center for Data Science
DECEMBER 2, 2022
We’re excited to welcome our second summer (and fourth overall) cohort of CURP (CDS Undergraduate Research Program) students this June. Below you can find some key logistical information on the upcoming summer session. PROGRAM DATES: JUNE 12 — AUGUST 19, 2023 LOCATION: RESEARCH PROJECTS WILL TAKE PLACE REMOTELY TIME COMMITMENT: 35 HOURS/WEEK FELLOWSHIP AWARD: $8,000 APPLICATION DEADLINE: MONDAY, JANUARY 9, 2023 In the program, students will: Under the supervision of CDS faculty, work on assigne
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Gerd Altmann from Pixabay Smart contracts are blockchain-based computer programs that activate at predefined times. In most cases, they are used to eliminate the need for a third party during the execution of a contract, allowing all parties to […].
DeepMind
NOVEMBER 30, 2022
Game-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego, the classic board game that’s more complex than chess and Go, and craftier than poker, has now been.
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
How to Learn Machine Learning
DECEMBER 2, 2022
Artificial Intelligence, or AI, has been making heads turn since the start of the 21st century. As we welcome 2023, AI will only become more evident in our lives. With time, AI will get smarter and will be used to handle many routine tasks. AI models are already offering automation and cyber security to diverse industries across the globe. Firms need to be aware of AI-based systems to improve productivity and efficiency.
Google Research AI blog
DECEMBER 1, 2022
Posted by Corey Lynch, Research Scientist, and Ayzaan Wahid, Research Engineer, Robotics at Google A grand vision in robot learning, going back to the SHRDLU experiments in the late 1960s, is that of helpful robots that inhabit human spaces and follow a wide variety of natural language commands. Over the last few years, there have been significant advances in the application of machine learning (ML) for instruction following , both in simulation and in real world systems.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Let’s say you want to build Dapp on top of the blockchain. So you wrote the code and configured your specification. Now you need to deploy it on the blockchain. But wait, you need to download the entire network to do so! […]. The post Dapp Deployment Using Quick Node RPC appeared first on Analytics Vidhya.
DeepMind
NOVEMBER 30, 2022
Game-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego, the classic board game that’s more complex than chess and Go, and craftier than poker, has now been mastered. Published in Science, we present DeepNash, an AI agent that learned the game from scratch to a human expert level by playing against itself.
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.
DataRobot Blog
DECEMBER 1, 2022
Competition among businesses to acquire customer attention has never been higher. With digital marketing spend projected to reach $692.3B 1 globally by 2024, companies should consider that more marketing does not necessarily lead to more customers acquisition. Companies offer incentives such as coupons to boost sales. By leveraging AI to target the right prospects with personalized promotions based on each customer’s unique attributes and purchase history, businesses can streamline customer segm
The MLOps Blog
NOVEMBER 30, 2022
These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., across industries and domains. Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Hey, are you working on a data science project, solving a problem statement related to data science, or experimenting with a statistical test to make further decisions and handling the most repeatedly cited statistical term, ‘correlation’? Willing to correctly interpret these statistical […].
NYU Center for Data Science
NOVEMBER 30, 2022
Pascal Wallisch, CDS Clinical Associate Professor We are currently hiring Clinical Faculty for 2023. The position has the opportunity to make a significant impact by teaching data science courses at the undergraduate and graduate levels. We caught up with CDS Clinical Associate Professor Pascal Wallisch to discuss his experience as a clinical faculty member at CDS as well as what the role has to offer incoming hires.
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After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!
Machine Learning Research at Apple
NOVEMBER 30, 2022
Multi-lingual language models (LM), such as mBERT, XLM-R, mT5, mBART, have been remarkably successful in enabling natural language tasks in low-resource languages through cross-lingual transfer from high-resource ones. In this work, we try to better understand how such models, specifically mT5, transfer any linguistic and semantic knowledge across languages, even though no explicit cross-lingual signals are provided during pre-training.
Google Research AI blog
NOVEMBER 29, 2022
Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team In recent years, language models (LMs) have become more prominent in natural language processing (NLP) research and are also becoming increasingly impactful in practice. Scaling up LMs has been shown to improve performance across a range of NLP tasks. For instance, scaling up language models can improve perplexity across seven orders of magnitude of model sizes, and new abilities such as multi-step reasoning have be
Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Source: DDI Introduction Autoencoders are an unsupervised model that takes unlabeled data and learns effective coding about the data structure that can be applied to another context. It approximates the function that maps the data from input space to lower dimensional coordinates and […].
Bugra Akyildiz
NOVEMBER 26, 2022
Articles Google published an Expert Choice Routing advancement in the Mixture of Experts modeling architecture for their large scale model. In this scheme, they set expert capacity k as the average tokens per expert in a batch of input sequences multiplied by a capacity factor , which determines the average number of experts that can be received by each token.
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.
Machine Learning Research at Apple
DECEMBER 2, 2022
This paper was accepted at the workshop "Learning from Time Series for Health" at NeurIPS 2022. Heart rate (HR) dynamics in response to workout intensity and duration measure key aspects of an individual’s fitness and cardiorespiratory health. Models of exercise physiology have been used to characterize cardiorespiratory fitness in well-controlled laboratory settings, but face additional challenges when applied to wearables in noisy, real-world settings.
Julien Simon
NOVEMBER 28, 2022
In this video, I show you how to use Amazon SageMaker to train a Transformer model with AWS Trainium and compile it for AWS Inferentia. Starting from a BERT model and the Yelp review datatset, I first train a multi-class classification model on an ml.trn1.2xlarge instance. I also show you how to reuse the Neuron SDK model cache from one training job to the next, in order to save time and money on repeated jobs.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data and Information about a Customer are important for all businesses and companies. For a business to be data-driven, a Company needs to be highly data-driven and focus highly on customer analytics. Information about customers can be collected from many sources. It […].
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