As the importance of ethical considerations in AI applications is being recognized not only by ethicists and researchers but also by industry tech leaders, AI ethics research is moving from general definitions of fairness and bias to more in-depth analysis. The research papers introduced in 2019 define comprehensive terminology for communicating about ML fairness, go from … [Read more...] about Top 12 AI Ethics Research Papers Introduced In 2019
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TOPBOTS Guide To NeurIPS 2019
This year’s Annual Conference on Neural Information Processing (NeurIPS 2019) will be held in Vancouver, Canada from December 8th to 14th, 2019. The popularity of this conference is growing rapidly, with the number of submitted papers getting to the record-breaking number of 6743, almost 40% more than last year. The TOPBOTS team is also going to NeurIPS again this year. To … [Read more...] about TOPBOTS Guide To NeurIPS 2019
10 Cutting-Edge Research Papers In Computer Vision From 2019
UPDATE: We’ve also summarized the top 2020 Computer Vision research papers. Today we can see how computer vision (CV) systems are revolutionizing whole industries and business functions with successful applications in healthcare, security, transportation, retail, banking, agriculture, and more. In 2019, we saw lots of novel architectures and approaches that … [Read more...] about 10 Cutting-Edge Research Papers In Computer Vision From 2019
10 Important Research Papers In Conversational AI From 2019
Conversational AI is becoming an integral part of business practice across industries. More companies are adopting the advantages chatbots bring to customer service, sales, and marketing. Even though chatbots are becoming a “must-have” asset for leading businesses, their performance is still very far from human. Researchers from major research institutions and tech leaders … [Read more...] about 10 Important Research Papers In Conversational AI From 2019
What Are Major NLP Achievements & Papers From 2019?
UPDATE: We’ve also summarized the top 2020 NLP research papers. In 2018 we saw a number of landmark research breakthroughs in the field of natural language processing (NLP). The introduction of transfer learning and pretrained language models in NLP pushed forward the limits of language understanding and generation. These also dominated NLP progress this … [Read more...] about What Are Major NLP Achievements & Papers From 2019?
Top AI & Machine Learning Research Papers From 2019
UPDATE: We’ve also summarized the top 2020 AI & machine learning research papers. With the AI industry moving so quickly, it's difficult for ML practitioners to find the time to curate, analyze, and implement new research being published. To help you quickly get up to speed on the latest ML trends, we’re introducing our research series, in which we curate the … [Read more...] about Top AI & Machine Learning Research Papers From 2019
Top AI Research Advances For Machine Learning Infrastructure
As deep learning models become more and more popular in real-world business applications and training datasets grow very large, machine learning (ML) infrastructure is becoming a critical issue in many companies. To help you stay aware of the latest research advances in ML infrastructure, we’ve summarized some of the most important research papers recently introduced in this … [Read more...] about Top AI Research Advances For Machine Learning Infrastructure
A Comprehensive Beginner’s Guide To Machine Learning As A Service
What’s machine learning as a service or MLaaS? Machine learning as a service (MLaaS) refers to a number of services that offer machine learning tools as a part of cloud computing services. The main benefit of this solution is that customers can get started with machine learning applications quickly without installing specific software or provisioning their own servers. All … [Read more...] about A Comprehensive Beginner’s Guide To Machine Learning As A Service
Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson
For most businesses, machine learning seems close to rocket science, appearing expensive and talent demanding. And, if you’re aiming at building another Netflix recommendation system, it really is. But the trend of making everything-as-a-service has affected this sophisticated sphere, too. You can jump-start an ML initiative without much investment, which would be the right … [Read more...] about Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson
Solving Data Challenges In Machine Learning With Automated Tools
Data is the lifeblood of machine learning (ML) projects. At the same time, the data preparation process is one of the main challenges that plague most projects. According to a recent study, data preparation tasks take more than 80% of the time spent on ML projects. Data scientists spend most of their time on data cleaning (25%), labeling (25%), augmentation (15%), aggregation … [Read more...] about Solving Data Challenges In Machine Learning With Automated Tools