Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Flutter where F stands for Front- end, L stands for Language, U stands for UI layout, T stands for Time, T stands for Tools, E stands for Enable, and R stands for Rich. In other words, Flutter is a tool used in […]. The post Building Our Applications Using Flutter appeared first on Analytics Vidhya.
AssemblyAI
NOVEMBER 15, 2022
This week’s AI Research Review is Git Re-Basin: Merging Models Modulo Permutation Symmetries. Git Re-Basin: Merging Models Modulo Permutation Symmetries What’s Exciting About this Paper In this paper , the authors show that the loss landscape of a wide enough neural network has essentially a single basin. This leads to many permutations of the same model weights calculating the same function.
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Google Research AI blog
NOVEMBER 16, 2022
Posted by Yanqi Zhou, Research Scientist, Google Research, Brain Team The capacity of a neural network to absorb information is limited by the number of its parameters, and as a consequence, finding more effective ways to increase model parameters has become a trend in deep learning research. Mixture-of-experts (MoE), a type of conditional computation where parts of the network are activated on a per-example basis, has been proposed as a way of dramatically increasing model capacity without a pr
DeepMind
NOVEMBER 15, 2022
At DeepMind, our goal is to make sure everything we do meets the highest standards of safety and ethics, in line with our Operating Principles. One of the most important places this starts with is how we collect our data. In the past 12 months, we’ve collaborated with Partnership on AI (PAI) to carefully consider these challenges, and have co-developed standardised best practices and processes for responsible human data collection.
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 14, 2022
This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. Before DevOps, software development teams, quality assurance (QA) teams, security, and operations would test the code for several […].
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Google Research AI blog
NOVEMBER 18, 2022
Posted by Mohammad Saleh, Software Engineer, Google Research, Brain Team, and Yinan Wang, Software Engineer, Google Workspace Information overload is a significant challenge for many organizations and individuals today. It can be overwhelming to keep up with incoming chat messages and documents that arrive at our inbox everyday. This has been exacerbated by the increase in virtual work and remains a challenge as many teams transition to a hybrid work environment with a mix of those working both
DeepMind
NOVEMBER 15, 2022
At DeepMind, our goal is to make sure everything we do meets the highest standards of safety and ethics, in line with our Operating Principles. One of the most important places this starts with is.
Analytics Vidhya
NOVEMBER 17, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. However, there are many tasks for which we don’t have enough labeled data at our disposal. Moreover, the need for running deep learning models on […].
Bitext
NOVEMBER 14, 2022
Leveraging technology that generates text is coming to the main theaters and Forbes is the most recent one: “ The Biggest Opportunity In Generative AI Is Language, Not Images ” Different names are in use: generative AI, as in the article; synthetic text, following the popular term “synthetic data”; NLG (Natural Language Generation) is the most traditional term maybe not so trendy just for that reason.
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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?
DataRobot Blog
NOVEMBER 15, 2022
Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. A packed keynote session showed how repeatable workflows and flexible technology get more models into production.
DeepMind
NOVEMBER 15, 2022
At DeepMind, our goal is to make sure everything we do meets the highest standards of safety and ethics, in line with our Operating Principles. One of the most important places this starts with is how we collect our data. In the past 12 months, we’ve collaborated with Partnership on AI (PAI) to carefully consider these challenges, and have co-developed standardised best practices and processes for responsible human data collection.
Analytics Vidhya
NOVEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine learning. K-means and hierarchical clustering are the two most popular and effective clustering algorithms. The working mechanism they apply in the backend allows them to provide such a […].
Sebastian Ruder
NOVEMBER 14, 2022
Models that allow interaction via natural language have become ubiquitious. Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. At the same time, a wave of NLP startups has started to put this technology to practical use.
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
Bugra Akyildiz
NOVEMBER 13, 2022
Articles Pinterest wrote a very good/lengthy post on how they are incorporating short-term interest and real-time user actions. Some of the use cases that they are going after: Model pinners’ short-term interest : PinnerSAGE is trained using thousands of user actions over a long term, so it mostly captures long-term interest. On the other hand, realtime user action sequence models short-term user interest and is complementary to PinnerSAGE embedding.
Google Research AI blog
NOVEMBER 17, 2022
Posted by Mahima Pushkarna, Senior Interaction Designer, and Andrew Zaldivar, Senior Developer Relations Engineer, Google Research As machine learning (ML) research moves toward large-scale models capable of numerous downstream tasks, a shared understanding of a dataset’s origin, development, intent, and evolution becomes increasingly important for the responsible and informed development of ML models.
Analytics Vidhya
NOVEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Voting ensembles are the ensemble machine learning technique, one of the top-performing models among all machine learning algorithms. As voting ensembles are the most used ensemble techniques, there are lots of interview questions related to this topic that are asked in data […].
Julien Simon
NOVEMBER 17, 2022
In this video, I show you how to accelerate Transformer inference with Inferentia, a custom chip designed by AWS. Starting from a Hugging Face BERT model that I fine-tuned on AWS Trainium ([link] I compile it with the Neuron SDK for Inferentia. Then, using an inf1.6xlarge instance (4 Inferentia chips, 16 Neuron Cores), I show you how to use pipeline mode to predict at scale, reaching over 4,000 predictions per second at 3-millisecond latency ?
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.
Analytics Vidhya
NOVEMBER 18, 2022
This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain. In deep learning, we add several hidden layers to gather the most minute details to learn the data for […]. The post Analyzing and Comparing Deep Learning Models appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction TensorFlow is one of the most well-liked and promising deep learning frameworks for devising novel deep learning solutions. Given its popularity and wide usage in companies, startups, and business firms to automate things and develop new systems, it is imperative to have […].
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Until now, we have seen two different approaches to state space search. i.e., Uninformed Search and Informed Search Strategies. These search strategies compute the path to the goal state from the initial state. A* Search Strategy is one of the best strategies […].
Analytics Vidhya
NOVEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction We all know that Data Cleaning and Preprocessing take up the most time in a Data Science project. While executing various pre-processing approaches, we may find several issues that can primarily be solved by a single library – Pandas. Pandas is a […]. The post Essential Pandas Operations You Must Bookmark Right Away appeared first on Analytics Vidhya.
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Analytics Vidhya
NOVEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Transformers have become a powerful tool for different natural language processing tasks. The impressive performance of the transformer is mainly attributed to its self-attention mechanism. However, training big Transformers with long sequences is impossible in most cases due to their quadratic […].
Analytics Vidhya
NOVEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Source: [link] Introduction Nowadays, a lot of data is being generated and consumed, resulting in a huge amount of internet traffic exponentially across the globe. So it is very important to manage the traffic and serve users or customers better and more efficiently. […]. The post AWS Route 53 – The Efficient DNS Solution appeared first on Analytics Vidhya.
Julien Simon
NOVEMBER 15, 2022
In this video, I show you how to accelerate Transformer inference with Optimum, an open source library by Hugging Face , and Intel OpenVINO. I start from a Vision Transformer model fine-tuned for image classification, and quantize it with OpenVINO. Running benchmarks on an AWS c6i instance (Intel Ice Lake architecture), we speed up the original model more than 20% and divide its size by almost 4, with just a few lines of simple Python code and just a tiny accuracy drop!
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