To kick off three days of AI panels, discussions, fireplace chats, and networking at Rework 2020, VentureBeat introduced the second annual AI Innovation Awards. Drawn each from our each day editorial protection and the experience, information, and expertise of our nominating committee members, these awards give us an opportunity to shine a light-weight on the folks and corporations making an affect 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 robust efficiency. Researchers Moin Nadeem, Anna Bethke, and Siva Reddy constructed StereoSet and have made it out there to anybody who makes language fashions. They preserve a leaderboard to point out how fashions like BERT and GPT-2 measure up.
Enterprise Software Innovation: Jumbotail
Jumbotail’s know-how revolutionizes conventional “mother & pop” shops in India, typically referred to 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 amassing and mining in actual time hundreds of thousands of knowledge factors on a regular basis. Due to its AI backend, Jumbotail turned 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.
Pc Imaginative and prescient Innovation: Abeba Birhane and Dr. Vinay Prabhu
Of their highly effective work, “Giant picture datasets: A pyrrhic win for laptop imaginative and prescient?,” researchers Abeba Birhane, PhD candidate at College School Dublin, and Dr. Vinay Prabhu, principal machine studying scientist at UnifyID, examined the problematic opacity, information assortment ethics, labeling and classification, and penalties of huge picture datasets. These datasets, together with ImageNet and MIT’s 80 Million Tiny Photographs, have been cited a whole bunch of instances in analysis. This paper is beneath peer evaluation, however already it’s resulted in MIT voluntarily and formally withdrawing the Tiny Photographs dataset on the grounds that it accommodates derogatory phrases as classes in addition to offensive photos, and that the character of the photographs 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 neighborhood combating racism, misogyny, and different biases — not simply within the precise know-how, however throughout the wider neighborhood of AI researchers and practitioners. She’s the co-lead of Moral AI at Google and cofounded Black in AI, a gaggle devoted to “sharing concepts, fostering collaborations, and discussing initiatives to extend the presence of Black people within the subject of AI.” Her work contains 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 laptop imaginative and prescient workflows. The corporate crowdsources information labeling and extra from a whole bunch of hundreds of paid contributors and passes the huge 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 know-how and crowdsourcing relationship again almost twenty years, together with almost seven years at Microsoft that included work on Cortana. She’s led DefinedCrowd Corp by a number of rounds of funding — most not too long ago, a big $50.5 million spherical in Might 2020.
We congratulate these winners, and all of the nominees, for his or her essential contributions to the sector of AI!
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