From very limited usage in the business world before 2012, machine learning dependency has gone up exponentially since the boom. Today there are 9k machine learning startups and companies according to Crunchbase. Here are the top machine learning start-ups that aim to excel in 2022. Algorithmia – Algorithmia's expertise is in machine learning operations (MLOps) and helping customers deliver ML models to production with enterprise-grade security and governance. Algorithmia automates ML deployment, provides tooling flexibility, enables collaboration between operations and development, and leverages existing SDLC and CI/CD practices.

In a country such as India that has a low doctor-patient ratio, Artificial Intelligence (AI) can enable greater access to expert care from anywhere, with telehealth and robotics applied across inpatient and outpatient environments. Experts says AI will bolster the role of healthcare by assisting in screening, diagnosis, and treatment of diseases thereby improving quality of life and reducing the cost burden for patients. "India has a tremendous opportunity to lead human-centric applications and democratise AI for the world backed by high skilled talent, technology, vast data availability, and the potential for population-scale AI adoption," says Vice-president and managing director of Sales, Marketing and Communications Group, Intel India. Intel has been focusing its efforts towards accelerating AI innovation to deliver transformative healthcare solutions and democratise healthcare access and delivery in India. The company's portfolio of compute, memory, storage, and networking technologies powers some of the most exciting healthcare and life sciences applications.

In a country such as India that has a low doctor-patient ratio, Artificial Intelligence (AI) can enable greater access to expert care from anywhere, with telehealth and robotics applied across inpatient and outpatient environments. Experts says AI will bolster the role of healthcare by assisting in screening, diagnosis, and treatment of diseases thereby improving quality of life and reducing the cost burden for patients. "India has a tremendous opportunity to lead human-centric applications and democratise AI for the world backed by high skilled talent, technology, vast data availability, and the potential for population-scale AI adoption," says Prakash Mallya, vice-president and managing director of Sales, Marketing and Communications Group, Intel India. Intel has been focusing its efforts towards accelerating AI innovation to deliver transformative healthcare solutions and democratise healthcare access and delivery in India. The company's portfolio of compute, memory, storage, and networking technologies powers some of the most exciting healthcare and life sciences applications. The cloud-based AI solution Netra.AI is the latest example of the impact and innovation that can be made possible with Intel technology.

Intel has focused its efforts on accelerating artificial intelligence innovation to deliver transformative healthcare solutions and democratize healthcare access and delivery in India. The company’s portfolio of computing, memory, storage and networking technologies powers some of the most exciting life sciences and health applications. The Netra.AI cloud-based artificial intelligence solution is the latest example of the impact and innovation that can be made possible by Intel technology. The solution uses deep learning to identify retinal conditions in a short period of time with the level of precision of human physicians. Netra.AI can accurately identify diabetic retinopathy (DR), greatly reducing the detection burden for vitreoretinal surgeons. The solution analyzes images from technician-operated portable fundus camera devices for immediate transferable DR score results via a cloud-based web portal. It uses state-of-the-art AI algorithms, developed in collaboration with leading retina experts, with a four-step deep convolutional neural network (DCNN). This neural network helps detect the RD stage and annotate lesions based on pixel density in fundus images.

Netra, co-founded by Shashi Kant SM '06, uses artificial intelligence to help companies sort and manage video content. At any given moment, many thousands of new videos are being posted to sites like YouTube, TikTok, and Instagram. An increasing number of those videos are being recorded and streamed live. But tech and media companies still struggle to understand what's going in all that content. Now MIT alumnus-founded Netra is using artificial intelligence to improve video analysis at scale.

Did you know India had an exclusive centre for robotics since 1986? The Centre for Artificial Intelligence and Robotics (CAIR) lab started with just three staff in a tiny office in Bengaluru. Today, the centre has more than 300 employees. CAIR is involved in research and development in AI, robotics, command and control, networking, information and communication security, along with the development of mission-critical products for battlefield communication and management systems. CAIR was appraised for Capability Maturity Model Integration (CMMI) Maturity Level 2 in 2014 and has ISO 9001:2015 certification.

At any given moment, many thousands of new videos are being posted to sites like YouTube, TikTok, and Instagram. An increasing number of those videos are being recorded and streamed live. But tech and media companies still struggle to understand what's going in all that content. Now MIT alumnus-founded Netra is using artificial intelligence to improve video analysis at scale. The company's system can identify activities, objects, emotions, locations, and more to organize and provide context to videos in new ways.

Netra uses artificial intelligence to help companies understand and organize their video content. Netra, co-founded by Shashi Kant SM '06, uses artificial intelligence to help companies sort and manage video content. At any given moment, many thousands of new videos are being posted to sites like YouTube, TikTok, and Instagram. An increasing number of those videos are being recorded and streamed live. But tech and media companies still struggle to understand what's going in all that content.

A new deep learning model can be a solution for diabetic retinopathy. Sankara Eye Foundation and Leben Care, a Singapore-based company are collaborating to provide diabetic retinopathy relief in India. The companies are working on an Intel-powered, cloud-based artificial intelligence solution that uses deep learning to detect retinal conditions within a short span. Called Netra.AI, the accuracy of this system matches that of human doctors and can drastically reduce screening burdens. Prakash Mallya, vice president and managing director of sales, marketing, and communications group at Intel India says, "The use of AI to improve disease detection and prevention is a critical step for the healthcare industry and a giant leap for humankind. India has one of the largest diabetic populations in the world and diabetic retinopathy is the major cause of vision loss and blindness in persons of working age. WIth Netra.AI, Sankara Eye Foundation, and Leben Care have leveraged the power of Intel Xeon Scalable processors and built-in Intel Deep Learning (DL) Boost to accurately detect DR and enable timely treatment to effectively combat avoidable vision impairment and blindness in diabetic patients."

The first annual Gigaom AI conference took place in San Francisco earlier this month. If you are unfamiliar with Gigaom, they are a technology research firm, finding and presenting the latest developments in technology, including artificial intelligence (AI), big data, Internet of Things (IOT), and more. The Gigaom AI conference focused on the applications and benefits of using AI to advance business, and how to implement it now. We wanted to share some highlights and our main takeaways from the event. "The effect that #AI will have on the world will be much more profound than computers or the iPad."