Hike Partners With IIIT-Delhi to Boost AI and ML Ecosystem in India

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The company is looking to collaborate with more Indian educational institutions to enable more deep-rooted research in AI and ML in the country.

Homegrown mobile messaging platform Hike has entered into a partnership with Indraprastha Institute of Technology, Delhi (IIIT-D) to boost the artificial intelligence (AI) and machine learning (ML) ecosystem in India.

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This collaboration is part of the company’s larger mission of facilitating research collaborations with stakeholders and academia to help enable more deep-rooted research in AI & ML in the country. As part of this initiative, Hike is also looking to collaborate with more Indian educational institutions in the near future.

“By facilitating this research opportunity, we want to help enable the Indian academia to connect to early-stage research and support the translation of that research to fuel advancement in the AI & ML ecosystem,” said Anshuman Misra, VP Operations, Hike.

The area of research will also include natural language processing (NLP), speech, link prediction, deep learning and computer vision.

Nourishing the talent in the country

Commenting on the partnership, Tanmoy Chakraborty, Director, Laboratory for Computational Social Systems (LCS2), IIIT-D, said, “A project of this depth is one of the first in the AI and ML ecosystems, and we hope this encourages more Indian academia to partner with Hike. We believe this will play a huge role in facilitating our students to help create a future shaped by open research.”

Hike is currently building one of the largest repositories of AI and ML enabled stickers for its local messaging platform, Hike Sticker Chat. In addition, the company is working on a range of white papers, projects and initiatives.

The Delhi-based venture is backed by SoftBank, Tiger Global, Tencent, Foxconn and Bharti. So far, the company has raised $261 million. In August 2016, it raised $1.4 Billion in its Series D funding round led by Tencent and Foxconn.

 

(With inputs from PTI)

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