Analytics Vidhya
OCTOBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction Niti Ayog, one of the transforming national institutions, has published an article on Blockchain use cases in India. Few questions about Blockchain, why Blockchain, and how we can deploy our applications through the docker and Kubernetes we should know. Objectives We will discuss […].
O'Reilly Media
OCTOBER 11, 2022
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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Eugene Yan
OCTOBER 1, 2022
My three favorite papers, 17 paper summaries, and ML and non-ML lessons.
DeepMind
OCTOBER 4, 2022
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.
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
Jay Alammar
OCTOBER 3, 2022
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.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
OCTOBER 7, 2022
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 […].
Kavita Ganesan
OCTOBER 26, 2022
Precision and recall are commonly used metrics to measure the performance of machine learning models or AI solutions in general. It helps understand how well models are making predictions. Let’s use an email SPAM prediction example. Say you have a model that looks at an email and decides whether it’s SPAM or NOT SPAM. To see how well it’s doing, you want to compare it with human-generated labels, which we will call the actual labels.
Google Research AI blog
OCTOBER 25, 2022
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.
DeepMind
OCTOBER 19, 2022
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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Dlabs.ai
OCTOBER 14, 2022
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.
DataRobot Blog
OCTOBER 4, 2022
The shift in consumer habits and geopolitical crises have rendered data patterns collected pre-COVID obsolete. This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. In this blog, we’ll review the DataRobot new Time Series clustering feature, which gives you a creative edge to build time series forecasting models by automatically grouping series that
Analytics Vidhya
OCTOBER 14, 2022
Introduction One of the most crucial and in-demand talents in 2022 is Data Science. To accommodate this need, more and more businesses are starting to offer boot camps while universities are creating new courses. However, tons of resources are available over the internet for free, and deciding where to go to find the best resources […]. The post Top Ten YouTube Channels On Data Science appeared first on Analytics Vidhya.
Kavita Ganesan
OCTOBER 26, 2022
“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?
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
Defined.ai blog
OCTOBER 9, 2022
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.
DeepMind
OCTOBER 13, 2022
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.
Shreyansh Singh
OCTOBER 10, 2022
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.
DataRobot Blog
OCTOBER 27, 2022
Data drift is a phenomenon that reflects natural changes in the world around us, such as shifts in consumer demand, economic fluctuation, or a force majeure. While changes in new data can threaten the performance of production models, data drift can be a strategic opportunity for your AI solution to quickly adapt to new patterns and maintain competitive advantage over not-so-quick competitors.
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
OCTOBER 16, 2022
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 […].
Kavita Ganesan
OCTOBER 21, 2022
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.
StreamHacker
OCTOBER 8, 2022
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.
DeepMind
OCTOBER 13, 2022
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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Bitext
OCTOBER 7, 2022
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.
DataRobot Blog
OCTOBER 11, 2022
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
Analytics Vidhya
OCTOBER 18, 2022
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 […].
Dlabs.ai
OCTOBER 3, 2022
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.
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.
StreamHacker
OCTOBER 8, 2022
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.
DeepMind
OCTOBER 11, 2022
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.
Bitext
OCTOBER 6, 2022
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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