Machine Learning and Robotics in Healthcare Devices and Rehabilitation


In the upcoming stages of the Fourth Industrial Revolution, we are going to experience a paradigm shift in how we use Artificial Intelligence (AI) and Robotics to improve processes and enhance healthcare. During her presentation, Alishba will discuss various applications of AI, efforts to develop Artificial General Intelligence (AGI), soft robots, and how these technologies can be used to facilitate and enhance mental health practices, improve prosthetics and rehabilitation devices for recovering stroke patients. She will demonstrate this by walking through her work with San Jose State University where she used 3D printing and AI to develop a cheaper prosthetic that costs $700 vs the current price of $10k. As well, she will be providing insights through highlighting her work with Hanson Robotics on Sophia the Robot to improve manipulation techniques for robots and develop the next wave of humanoid robots with human-like intelligence. She will also highlight her research and research by labs such as the Harvard Biodesign Lab to use soft robotics and machine learning for the development of low-cost and easier to use portable rehabilitation gloves for recovering stroke patients. As well, Alishba will speak on her work with Kindred.Ai using imitation learning and telerobotics to develop more intelligent and safe human-robot interactions that can be used in medical and manufacturing settings. This interactive session will highlight current cutting-edge research being done in robotics and AI while diving deep into the concepts powering them and how these are being applied to key problem areas in medical and rehabilitation industries.


Alishba is an 18-year-old machine learning and blockchain developer who was named a Young Innovator to Watch at CES in 2020. At 15, she developed Honestblocks, a blockchain platform to track medication and put an end to counterfeit medication in supply chain systems for 2 million people in rural India. Part of this platform was eventually integrated into IBM Blockchain and is being used in various supply chain applications. She has applied her skills as an intern at various startups and companies such as TD Bank, Pngme, and Vestergaard. At TD Bank, she developed a new blockchain product to securely allow 2M+ clients to store their personal, financial data and access different financial services. She has worked as an ML Developer at Hanson Robotics to develop Neuro-Symbolic AI, RL, and Generative Grasping CNN approaches for Sophia the Robot. Alishba further applied this work with a master's student and professor at San Jose State University, with support from the BLINC Lab, to reduce cost of prosthetics from $10k to $700, and make grasping more efficient.

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