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.
AI Impacts
NOVEMBER 23, 2022
Jeffrey Heninger, 22 November 2022 AI Impacts is a research group with seven employees. From Oct 31 - Nov 3, we had a work retreat. We decided to try using Manifold Markets to help us plan social events in the evenings. Here are some notes from this experiment. Structure of the Experiment Katja created a group on Manifold Markets for AI Impacts, and an initial collection of markets.
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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: 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.
DataRobot Blog
NOVEMBER 1, 2022
Can artificial intelligence predict outcomes of a football (soccer) game? In a special project created to celebrate the world’s biggest football tournament, the DataRobot team set out to determine the likelihood of a team scoring a goal based on various on-the-field events. My Dad is a big football (soccer) fan. When I was growing up, he would take his three daughters to the home games of Maccabi Haifa, the leading football team in the Israeli league.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
NOVEMBER 7, 2022
This article was published as a part of the Data Science Blogathon. Introduction FaceIO is a cross-browser framework for user facial recognition authentication. Any website can use a JavaScript snippet to implement it. As more and more daily tasks are managed electronically rather than with pen and paper or face-to-face, the demand for quick and […].
Google Research AI blog
NOVEMBER 10, 2022
Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team The field of natural language processing (NLP) has been revolutionized by language models trained on large amounts of text data. Scaling up the size of language models often leads to improved performance and sample efficiency on a range of downstream NLP tasks. In many cases, the performance of a large language model can be predicted by extrapolating the performance trend of smaller models.
Cassie Kozyrkov
NOVEMBER 30, 2022
A primer on interpreting other people’s hypothesis tests Continue reading on Towards Data Science »
Machine Learning Research at Apple
NOVEMBER 7, 2022
Today, we are excited to release optimizations to Core ML for Stable Diffusion in macOS 13.1 and iOS 16.2, along with code to get started with deploying to Apple Silicon devices. Figure 1: Images generated with the prompts, "a high quality photo of an astronaut riding a (horse/dragon) in space" using Stable Diffusion and Core ML + diffusers running on-device on Apple Silicon.
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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?
DeepMind
NOVEMBER 7, 2022
Meet Sylvia Christie, our education partnerships manager who’s played a leading role in expanding our scholarship programme, which is marking its five-year anniversary.
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
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 […].
Google Research AI blog
NOVEMBER 8, 2022
Posted by Shunyu Yao, Student Researcher, and Yuan Cao, Research Scientist, Google Research, Brain Team Recent advances have expanded the applicability of language models (LM) to downstream tasks. On one hand, existing language models that are properly prompted, via chain-of-thought , demonstrate emergent capabilities that carry out self-conditioned reasoning traces to derive answers from questions, excelling at various arithmetic, commonsense, and symbolic reasoning tasks.
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.
Cassie Kozyrkov
NOVEMBER 22, 2022
Battling an embarrassing new alchemy for the digital era Continue reading on Towards Data Science »
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.
DeepMind
NOVEMBER 22, 2022
Most artificial intelligence (AI) researchers now believe that writing computer code which can capture the nuances of situated interactions is impossible. Alternatively, modern machine learning (ML) researchers have focused on learning about these types of interactions from data. To explore these learning-based approaches and quickly build agents that can make sense of human instructions and safely perform actions in open-ended conditions, we created a research framework within a video game envi
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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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.
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 […].
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
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: 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
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.
NVIDIA Developer
NOVEMBER 25, 2022
DIRECTX 12 ULTIMATE DirectX 12 Ultimate 是 Microsoft 的最新图形 API，整合了 NVIDIA RTX 的创新技术，这些技术于 2018 年首次推出，是新一代实时图形的跨平台标准。它提供用于光线追踪、可变速率着色、网格着色、采样器反馈等的 API，让开发者能够将影院级反射、阴影和照明技术用于游戏和实时应用。借助 DirectX 12 Agility SDK ，开发者可在 2019 年 11 月及更新版本的 Windows 10 上立即获得新推出的光线追踪技术和图形 API。 光线追踪 实时光线追踪，可利用 NVIDIA RTX RT Core 实现逼真的反射、照明和阴影。 网格着色 将顶点和原始处理相结合的新型着色器，提高了几何管线的灵活性和性能。
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 […].
Dlabs.ai
NOVEMBER 23, 2022
One of the hottest times of the year has arrived, and we’re not talking about the temperature at all. It’s all because of shopping fever due to Black Friday and Cyber Monday. People are all going crazy to hunt down the best bargains and spend money. As always, we’re here to help you. That’s why we’ve prepared a list of great AI deals for Black Friday and Cyber Monday.
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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.
NYU Center for Data Science
NOVEMBER 23, 2022
The model’s datasets are currently the largest publicly available for studying dementia CDS PhD student, Sheng Liu Alzheimer’s is the most prevalent form of dementia, and early diagnosis of the disease is essential to clinical trials and necessary treatments. A new study “Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs ” by CDS researchers has developed a new approach to the early detection of Alzheimer’s using 3D deep convolutional neural networks.
Bugra Akyildiz
NOVEMBER 24, 2022
If you are looking for something to do in US for the long weekend, you may want to check out the Pen and Paper Exercises for ML: arxiv.org/pdf/2206.13446… nnA number of problems in ML and their solutions. Its latex code is also available in GitHub: ","username":"bugraa","name":"Bugra Akyildiz","date":"Thu Nov 24 21:19:43 +0000 2022","photos":[],"quoted_tweet":{},"retweet_count":0,"like_count":0,"expande
DeepMind
NOVEMBER 24, 2022
NeurIPS is the world’s largest conference in artificial intelligence (AI) and machine learning (ML), and we’re proud to support the event as Diamond sponsors, helping foster the exchange of research advances in the AI and ML community. Teams from across DeepMind are presenting 47 papers, including 35 external collaborations in virtual panels and poster sessions.
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