Analytics Vidhya
NOVEMBER 22, 2022
This article was published as a part of the Data Science Blogathon. Source: Arxiv|Search Engine Journal Introduction As it is common knowledge that natural language processing is one of the most popular and competitive in the current global IT sector. All of the top organizations and budding startups are on the lookout for candidates with […].
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 22, 2022
Battling an embarrassing new alchemy for the digital era Continue reading on Towards Data Science »
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
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.
Analytics Vidhya
NOVEMBER 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Viruses are well-known etiological agents to cause a broad spectrum of diseases in humans, animals, and plants. In the last few decades, viral infections have emerged and have been responsible for life-threatening to humankind and the worldwide economy. As evident by historical […].
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
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.
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is the most dynamic stream in the world. Humans have always been curious about their abilities to predict, understand, act, and make decisions. Now, we can learn everything about it and create intelligent entities with this universal field of […].
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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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?
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.
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
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Source: [link] Introduction The AWS Command Line Interface (CLI) is a centralized management tool for managing AWS services. Through CLI, users can control services manually or automate them with powerful scripts. With this one tool, it can handle multiple AWS services from the […].
Explosion
NOVEMBER 23, 2022
We are happy to introduce support for Metal Performance Shaders in Thinc PyTorch layers. This makes it possible to run spaCy transformer-based pipelines on GPU on Apple Silicon Macs and improves inference speed up to 4.7 times.
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.
AssemblyAI
NOVEMBER 21, 2022
At the bedrock of the Deep Learning that powers incredible technologies like text-to-image models lies matrix multiplication. Regardless of the specific architecture employed, (nearly) every Neural Network relies on efficient matrix multiplication to learn and infer. Finding efficient and fast matrix multiplication algorithms is therefore paramount given that they will supercharge every neural network, potentially allowing us to run models prohibited by our current hardware limitations.
DeepMind
NOVEMBER 21, 2022
Our new paper, NEVIS’22: A Stream of 100 Tasks Sampled From 30 Years of Computer Vision Research, proposes a playground to study the question of efficient knowledge transfer in a controlled and reproducible setting. The Never-Ending Visual classification Stream (NEVIS’22) is a benchmark stream in addition to an evaluation protocol, a set of initial baselines, and an open-source codebase.
Analytics Vidhya
NOVEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven. Businesses and companies are using data to get some insights about the progress and future […].
AI Impacts
NOVEMBER 23, 2022
Jeffrey Heninger, 22 November 2022 I was recently reading the results of a survey asking climate experts about their opinions on geoengineering. The results surprised me: “We find that respondents who expect severe global climate change damages and who have little confidence in current mitigation efforts are more opposed to geoengineering than respondents who are less pessimistic about global damages and mitigation efforts.”[note] Dannenberg & Zitzelsberger.
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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.
Bugra Akyildiz
NOVEMBER 20, 2022
If you have to read one article this week: netflixtechblog.com/for-your-eyes-… nnA learned "deep downscaler" is performing much better than existing downscaling appraoches.","username":"bugraa","name":"Bugra Akyildiz","date":"Sun Nov 20 02:20:25 +0000 2022","photos":[],"quoted_tweet":{},"retweet_count":1,"like_count":3,"expanded_url":{},"video_url":null,"belowTheFold":false}"
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.
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction Web apps are the apps through which you can showcase your solution or approach to the public at a mass level. Creating the model is not enough until it’s in use by people. When it comes to delivering the solution then, everyone […]. The post Build AI Web App using Azure Cognitive Services appeared first on Analytics Vidhya.
DataRobot Blog
NOVEMBER 22, 2022
What does Diversity, Equity, and Inclusion (DEI) mean at DataRobot ? On November 17, 2021, a group of passionate and dedicated DataRobot employees came together to answer that question by listening to experiences, talking through problems, and brainstorming on potential solutions. Our ground rules were simple: keep an open and flexible mind; assume positive intent; and be a safe and confidential space for people to be vulnerable and share authentically.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Julien Simon
NOVEMBER 21, 2022
In this video, I show you how to accelerate Transformer inference with Optimum, an open-source library by Hugging Face, and Better Transformer, a PyTorch extension available since PyTorch 1.12. [link] Using an AWS instance equipped with an NVIDIA V100 GPU, I start from a couple of models that I previously fine-tuned: a DistilBERT model for text classification and a Vision Transformer model for image classification.
DeepMind
NOVEMBER 21, 2022
Our new paper, NEVIS’22: A Stream of 100 Tasks Sampled From 30 Years of Computer Vision Research, proposes a playground to study the question of efficient knowledge transfer in a controlled and reproducible setting. The Never-Ending Visual classification Stream (NEVIS’22) is a benchmark stream in addition to an evaluation protocol, a set of initial baselines, and an open-source codebase.
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […]. The post Data Lineage: Case Studies of Data-Driven Businesses appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 25, 2022
This article was published as a part of the Data Science Blogathon. Source:pixabay.com Introduction State-of-the-art machine learning models and artificially intelligent machines are made of complex processes like adjusting hyperparameters and choosing models that provide better accuracy and the metrics that govern this behavior. To achieve this result manually, many experiments using a lot of […].
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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.
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction TensorFlow is one of the most promising deep learning frameworks for developing cutting-edge deep learning solutions. Given the popularity and extensive usage of TensorFlow in the industry to automate processes and create new tools, it is imperative to have a […].
Analytics Vidhya
NOVEMBER 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction The rate of data expansion in this decade is rapid. The requirement to process and store these data has also become problematic. Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […].
Analytics Vidhya
NOVEMBER 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction With the growing social media culture and trends, the amount of data produced daily is increasing drastically. To handle this massive amount of data efficiently, Teradata is becoming an asset to firms. Teradata is ruling over firms, having a large volume of […]. The post Understanding the Concepts of Teradata appeared first on Analytics Vidhya.
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