To better understand the landscape of available tools for machine learning production, I decided to look up every AI/ML tool I could find. The resources I used include: Full stack deep learningLF AI Foundation landscapeAI Data LandscapeVarious lists of top AI startups by the mediaResponses to my tweet and LinkedIn postPeople (friends, strangers, VCs) share … [Read more...] about An AI Researcher’s Exploration of 200 Machine Learning Tools
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These 10 Companies Are Transforming Marketing With AI
Traditional marketing tools lack the flexibility, scalability, and comprehensiveness to address many of the challenges faced by modern companies. With growing digitization and an always-online audience, more marketing teams now require artificial intelligence (AI) to stay competitive. Before rushing to hire a data science team, you need to evaluate the third-party AI … [Read more...] about These 10 Companies Are Transforming Marketing With AI
8 AI Companies Generating Creative Advertising Content
AI Models Generated by Rosebud AI After the introduction of Generative Adversarial Networks (GANs) in 2014, a whole new era for AI image synthesis began. The latest GAN architectures can generate high-resolution, realistic, and colorful images that are almost impossible to distinguish from the real photographs. So, why spend time on exhausting and expensive photoshoots and … [Read more...] about 8 AI Companies Generating Creative Advertising Content
Reformer, Longformer, and ELECTRA: Key Updates To Transformer Architecture In 2020
The leading pre-trained language models demonstrate remarkable performance on different NLP tasks, making them a much-welcomed tool for a number of applications, including sentiment analysis, chatbots, text summarization, and so on. However, good performance usually comes at the cost of enormous computational resources that are not accessible by most researchers and business … [Read more...] about Reformer, Longformer, and ELECTRA: Key Updates To Transformer Architecture In 2020
The Highest-Trending Research Papers From CVPR 2020
CVPR 2020 is yet another big AI conference that takes place 100% virtually this year. But regardless of the format, the conference still showcases the most interesting cutting-edge research ideas in computer vision and image generation. Here we’ve picked up the research papers that started trending within the AI research community months before their actual presentation at … [Read more...] about The Highest-Trending Research Papers From CVPR 2020
The Best NLP Papers From ICLR 2020
I went through 687 papers that were accepted to ICLR 2020 virtual conference (out of 2594 submitted - up 63% since 2019!) and identified 9 papers with the potential to advance the use of deep learning NLP models in everyday use cases. Here are the papers found and why they matter. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators Kevin … [Read more...] about The Best NLP Papers From ICLR 2020
5 Ways To Leverage AI Research In Marketing & Advertising
Today, Artificial Intelligence (AI) can drive effective solutions to lots of marketing challenges. It can help you optimize your advertising budget, personalize your customers’ experience, suggest the most accurate attribution model, boost your marketing analytics, and even generate original brand content, including images and advertising slogans. However, AI is evolving so … [Read more...] about 5 Ways To Leverage AI Research In Marketing & Advertising
The Dark Secrets Of BERT
This blog post summarizes EMNLP 2019 paper Revealing the Dark Secrets of BERT by researchers from the Text Machine Lab at UMass Lowell: Olga Kovaleva (LinkedIn), Alexey Romanov (LinkedIn), Anna Rogers (Twitter: @annargrs), and Anna Rumshisky (Twitter: @arumshisky). Here are the topics covered: A brief intro to … [Read more...] about The Dark Secrets Of BERT
Data Labeling For Natural Language Processing
Why Does Training Data Matter? Machine Learning has made significant strides in the last decade. This can be attributed to parallel improvements in processing power and new breakthroughs in Deep Learning research. Another key reason is the abundance of data that has been accumulated. Analysts estimate humankind sits atop 44 zettabytes of information today. The … [Read more...] about Data Labeling For Natural Language Processing
The 5 Components Towards Building Production-Ready Machine Learning Systems
Introduction The biggest issue facing machine learning is how to put the system into production. Machine learning systems differ from traditional software in two fundamental ways: Machine learning is never fully deterministic; therefore, the performance of an ML system can’t be evaluated against a strict specification. Instead, it should always be evaluated against … [Read more...] about The 5 Components Towards Building Production-Ready Machine Learning Systems