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Google Proclaims AI Collaborations for Healthcare, Sustainability, and Agriculture in India


Google Announces AI Collaborations for Healthcare, Sustainability, and Agriculture in India
Google, on October 17, introduced new collaborations throughout India’s well being, sustainability, and agriculture sectors that may deploy the corporate’s synthetic intelligence (AI) analysis and fashions throughout a spread of purposes—from serving to to stop blindness amongst folks with diabetes to supporting field-level insights that profit farmers and decreasing pressure on the nation’s landfills.

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In response to Google, these bulletins had been made throughout a roundtable in Bengaluru, marking the fifth anniversary of Google’s Analysis Lab within the metropolis. This follows the tenth version of the Google for India occasion, which showcased the potential of AI.

“At Google, we’re not simply constructing AI, however are serving to form a future the place AI advantages everybody. Collaborating with key Indian organisations, our centered analysis in India throughout language understanding, healthcare, agriculture and sustainability helps deal with most of the nation’s distinctive challenges and creating AI-led options that may enhance billions of lives,” stated Dr Manish Gupta, Analysis Director, Google DeepMind, in accordance with an ANI report.

Diabetic Retinopathy

Google stated it began exploring the potential for AI to display for diabetic retinopathy and assist stop blindness by way of early detection, finally conducting the primary affected person screening in Madurai, India.

“Since then, our diabetic retinopathy AI mannequin has helped help greater than 600,000 screenings in clinics all over the world. The mannequin helps clinicians with early detection at scale, and in flip aiding well timed medical intervention,” Google stated in a weblog put up.

Google has licensed this AI mannequin to healthcare suppliers and health-tech companions Forus Well being and AuroLab in India, in addition to Perceptra in Thailand, to offer roughly 6 million AI-assisted screenings for diabetic retinopathy in resource-constrained communities in India and Thailand over the subsequent 10 years.

Okay Chandrasekhar, Founder and CEO, Forus Well being: “Forus Well being is thrilled to companion with Google to deliver AI-powered diabetic retinopathy screening to the forefront of eye care by leveraging our revolutionary retinal cameras and platform. We’re assured of impacting hundreds of thousands of lives and fulfil our mission of eliminating preventable blindness.”

R D Sriram, Managing Director, AuroLab: “It has been nice to see the a number of phases of Google’s diabetic retinopathy AI mannequin – from improvement to validation to deployment. At AuroLab, we’re hopeful that this AI mannequin will play a vital position in stopping pointless imaginative and prescient loss for hundreds of thousands of individuals.”

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Supporting Plastic Recycling

Google’s CircularNet, an open-source machine-learning and AI pc imaginative and prescient mannequin for waste administration, is being deployed in partnership with Bengaluru-based Saahas Zero Waste.

In response to Google, CircularNet offers pixel-level occasion segmentation, characterising plastic supplies by kind and sort to enhance how they’re sorted, managed, and recycled throughout the whole waste administration cycle.

Saahas Zero Waste (SZW) has been leveraging CircularNet in its efforts to kind plastic waste, enhance recycling, scale back pressure on landfills from recyclable waste, and strengthen India’s round economic system, in accordance with Google.

CircularNet helps SZW as a vision-based high quality management system that checks the standard and amount of waste earlier than it’s sorted, baled, and despatched to recycling facilities, in addition to when it’s acquired at these facilities, Google defined.

In a pilot of CircularNet’s AI mannequin at its materials recycling facility, Saahas Zero Waste estimates that it achieved roughly 85 p.c accuracy in detecting plastic waste. Primarily based on these inner evaluations, SZW predicts that the upper high quality of recyclable supplies recovered may translate right into a 10-12 p.c enchancment in income technology. Saahas Zero Waste has additional estimated that roughly 90 p.c of recyclable waste could possibly be diverted from landfills.

Arun Murugesh, Vice President, Gross sales and Advertising and marketing, Saahas Zero Waste: “Google’s CircularNet mannequin is taking part in an vital position by supporting automated AI-powered high quality management programs that may be deployed effectively at scale – and we’ve been enormously inspired by early outcomes. Improved high quality assurance at waste restoration services and recyclers powered by CircularNet guarantees to enhance useful resource restoration by way of closed loop recycling.

“By combining know-how with viable enterprise fashions, we purpose to contribute in direction of India’s imaginative and prescient of a round economic system. We additionally see AI-assisted partnerships as a driver to reaching bigger affect, together with livelihood technology, safer working situations and better ecological conscientiousness.”

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Opened ALU API to Builders

To help data-driven decision-making in agriculture, Google can also be opening its Agricultural Panorama Understanding (ALU) Analysis API to builders. The ALU API makes use of distant sensing and AI to offer insights on the particular person farm degree throughout India. By combining satellite tv for pc imagery with machine studying fashions, the ALU API can determine fields, water our bodies, and vegetation boundaries and their acreage, organising agricultural data and offering it as a base layer for the agri-ecosystem.

These technological capabilities can help in making extra data-driven and environment friendly selections throughout India’s agri-ecosystem, whereas supporting the event of precision agriculture instruments, optimising useful resource allocation, and enhancing agricultural practices that assist farmers improve farm administration and productiveness, Google stated.



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