To kick off three days of AI panels, discussions, fireplace chats, and networking at Transform 2020, VentureBeat introduced the second annual AI Innovation Awards. Drawn each from our each day editorial protection and the experience, data, and expertise of our nominating committee members, these awards give us an opportunity to shine a light-weight on the individuals and corporations making an influence in AI.
Amid 4 nominees in every in our 5 classes — Pure Language Processing/Understanding Innovation, Enterprise Software Innovation, Pc Imaginative and prescient Innovation, AI for Good, and Startup Highlight — the winners have emerged.
And the winners are…
Pure Language Processing/Understanding Innovation: StereoSet
Analysis continues to uncover bias in AI fashions; StereoSet is a dataset designed to measure discriminatory behaviors like racism and sexism in language fashions whereas making certain that the fashions in any other case supply sturdy efficiency. Researchers Moin Nadeem, Anna Bethke, and Siva Reddy constructed StereoSet and have made it obtainable to anybody who makes language fashions. They preserve a leaderboard to indicate how fashions like BERT and GPT-2 measure up.
Enterprise Software Innovation: Jumbotail
Jumbotail’s expertise revolutionizes conventional “mother & pop” shops in India, typically generally known as “kirana shops,” by connecting them with manufacturers and different high-quality product producers to assist them emerge as fashionable comfort shops. Jumbotail does so with out elevating the price to clients, by gathering and mining in actual time hundreds of thousands of knowledge factors on a regular basis. Because of its AI backend, Jumbotail grew to become India’s main on-line wholesale meals and grocery market, with a full stack that features built-in provide chain and logistics, in addition to an in-house fintech platform for funds and credit score. The insights generated and tech developed round this new enterprise mannequin empowers producers and clients, and is poised to increase to different continents.
Of their highly effective work, “Large image datasets: A pyrrhic win for computer vision?,” researchers Abeba Birhane, PhD candidate at College Faculty Dublin, and Dr. Vinay Prabhu, principal machine studying scientist at UnifyID, examined the problematic opacity, information assortment ethics, labeling and classification, and penalties of enormous picture datasets. These datasets, together with ImageNet and MIT’s 80 Million Tiny Pictures, have been cited a whole bunch of occasions in analysis. This paper is below peer evaluate, however already it’s resulted in MIT voluntarily and formally withdrawing the Tiny Images dataset on the grounds that it incorporates derogatory phrases as classes in addition to offensive photographs, and that the character of the pictures within the dataset makes it infeasible to treatment the issues.
AI for Good: Dr. Timnit Gebru
Dr. Timnit Gebru continues to be one of many strongest voices within the AI group preventing racism, misogyny, and different biases — not simply within the precise expertise, however inside the wider group of AI researchers and practitioners. She’s the co-lead of Moral AI at Google and cofounded Black in AI, a bunch devoted to “sharing concepts, fostering collaborations, and discussing initiatives to extend the presence of Black people within the discipline of AI.” Her work consists of Gender Shades, the landmark analysis exposing the racial bias in facial recognition techniques, and Datasheets for Datasets, which goals to create a standardized course of for including documentation to datasets to extend transparency and accountability.
Startup Highlight: Dr. Daniela Braga, DefinedCrowd Corp
DefinedCrowd Corp creates high-quality coaching information for enterprises’ AI and machine studying initiatives, together with with voice recognition, pure language processing, and pc imaginative and prescient workflows. The corporate crowdsources information labeling and extra from a whole bunch of 1000’s of paid contributors and passes the large curation on to its enterprise clients. Clients embrace a number of Fortune 500 corporations. The startup’s cofounder and CEO, Dr. Daniela Braga, has credentials in speech expertise and crowdsourcing courting again almost twenty years, together with almost seven years at Microsoft that included work on Cortana. She’s led DefinedCrowd Corp via a number of rounds of funding — most just lately, a big $50.5 million spherical in Might 2020.
We congratulate these winners, and all the nominees, for his or her vital contributions to the sphere of AI!