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A decentralised marketplace where different startups, institutions, and big companies are connected and where they can share their data. The platform provides pre-processing, compliance checks and data licensing to provide a safe harbour for AI compa

Which one is better? ( After latest updates ) I'm curious how can a founder leverage these tools for their early stage startups.

Train your Ai model for free here 👇 no. Technical skills required to do this. You can train an image,audio,pose models here...

People with which skillset early stage startups mostly hire?

Effective Strategies for Scaling Hiring in Early-Stage Startups

How many VCs out there who say they are early stage investors actually "EARLY STAGE" ??

Any people here who are working in early stage startups? I really want to know about how the work life balance is there?

How are you doing guys , I am looking to collaborate with some early stage startups or upcoming startups , we are building a team to enhance the growth of these startups and help them as per their requirements .

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

Researchers are developing AI models to predict the onset of diseases like Alzheimer’s and Parkinson’s. These models analyze patterns in medical data to identify early signs, potentially leading to earlier and more effective treatments.