Transform

BlinqIO Secures $5M to Transform Software Testing with AI-Powered Automation

BlinqIO, an progressive AI-driven software testing platform, has secured $5 million in funding, led by Boston-based Flint Capital together with key Silicon Valley executives and top-tier investors, including Inovia Capital and TAL Ventures. This...

Transformers: How Do They Transform Your Data?

Diving into the Transformers architecture and what makes them unbeatable at language tasksObserving the plot of projected embeddings for every training point, we are able to see the clear distinction between positive (blue)...

Modeling Variable Seasonal Features with the Fourier Transform

Improve time series forecast performance with a way from signal processingModeling time series data and forecasting it are complex topics. There are a lot of techniques that could possibly be used to enhance model...

Eric Schmidt: That is how AI will transform the best way science gets done

AI may also spread the search net for hypotheses wider and narrow the web more quickly. Consequently, AI tools can assist formulate stronger hypotheses, corresponding to models that spit out more promising candidates...

3 Easy and Powerful Ways This AI Technique Will Transform Data Management

What's an Embedding?Embedding (also called Vector Embeddings) is a series of vectors providing a mathematical representation of words or sentences. The vectors capture the semantic meaning and context of the words or phrases.The advantage...

Demystifying Large Language Models: How They Learn and Transform AI

Special due to my friend Faith C., whose insights and concepts inspired the creation of this text on GPT and Large Language Models.Large Language Models (LLMs) are sophisticated programs that consist of complex algorithms...

Transform Time Series for Deep Learning Supervised Learning with Time Series Auto-Regression with Deep Learning Hands-On Key Takeaways

Forecasting with deep neural networksThe forecasts aren't that good. The time series is small and we didn’t optimize the model in any way. Deep learning methods are known to be data-hungry. So, in case...

Easy methods to Transform Time Series for Deep Learning Supervised Learning with Time Series Auto-Regression with Deep Learning Hands-On Key Takeaways

Forecasting with deep neural networksThe forecasts will not be that good. The time series is small and we didn’t optimize the model in any way. Deep learning methods are known to be data-hungry. So,...

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