Spell Introduces Deep Learning and AI Development Platform To Empower Businesses Workplace

Artificial Intelligence News

Spell_Introduces-Deep-Learning-and-AI-Development-Platform-To-Empower-Businesses-Workplace Spell Introduces Deep Learning and AI Development Platform To Empower Businesses WorkplaceNew York-based Artificial Intelligence and Machine Learning startup Spell, introduced a latest, end-to-end Deep Learning and AI platform aimed to empower businesses across diverse sectors to develop with AI.  This development illustrates Spell’s promise to offer greater accessibility to the developed AI tools that are at present developed by and utilized at only the big techies. Along with this release, the company also declared USD15 million funding that is led by Two Sigma Ventures and Eclipse Ventures and will be utilized to integrate more improvements and power all-sized organizations, while keeping to bring AI and deep learning to more of the workforce across the globe.

The AI & ML-based startup’s infrastructure is flexible, functioning with any data storage system, language or structure. It also enables immediate testing on any hardware, in the Public Cloud or on-premise. Spell is now operating across industries to power use cases as diverse as medical diagnoses to custom semantic searches for financial reports. The company, along with the release of latest AI and end-to-end Deep Learning platform, has rolled out key features, as follows New Design- Spell, along with a redesigned website and console, has now introduced an absolutely new experience on spell.run in addition to a completely responsive site, enabling users to keep track of runs on a desktop, mobile and tablet. Organizations- The release of Organizations means that now every person on a team can observe each others’ testing, outcomes, and comments in one convenient place.

It also features, Hyperparameter Search- With the company’s Hyperparameter visualizer platform, users can start a search with one control and envisage the performance of each trial in real time. Dedicated Clusters- Businesses can now implement dedicated clusters, keeping all data, testing, and model serving within a user’s own AWS or GCP infrastructure.