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Research Highlights: Interactive continual learning for robots: a neuromorphicapproach

In this regular column we take a look at highlights for breaking research topics of the day in the areas of big data, data science, machine learning, AI and deep learning. For data scientists, it’s important to keep connected with the research arm of the field in order to understand where the technology is headed. Enjoy!

AI and Robotics Uncover Hidden Signatures of Parkinson’s Disease

A study published in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying  patient cells with artificial intelligence methods for image analysis. Using their automated cell culture  platform, scientists at the NYSCF Research Institute collaborated with Google Research to  successfully identify new cellular hallmarks of Parkinson’s disease by creating and profiling over a  million images of skin cells from a cohort of 91 patients and healthy controls. 

Cogniteam’s Nimbus Supports Cloud-Enabled Robot Deployment Powered by NVIDIA Jetson Edge AI Platform

Cogniteam today announced it is supporting the NVIDIA Jetson edge AI platform into its cloud-based robotics development and deployment platform, allowing cloud-enabled deployments to use NVIDIA technology for the first time. More customers are moving over to NVIDIA’s GPU-accelerated technologies that can be developed and deployed through the cloud.

AI Will Take Construction Robotics from Hype to Reality

The general awareness AI and deep learning can bring to the table are the first steps to make robotics useful in construction. Building the first steps to unite these technologies, Buildots, an AI startup, attaches 360 cameras onto project managers’ hardhats to collect footage inside the construction site and analyze the data to deliver comprehensible results.

Research Highlights: Singapore Researchers Look to Intel Neuromorphic Computing to Help Enable Robots That ‘Feel’

Today, two researchers from the National University of Singapore (NUS), who are members of the Intel Neuromorphic Research Community (INRC), presented new findings demonstrating the promise of event-based vision and touch sensing in combination with Intel’s neuromorphic processing for robotics. The work highlights how bringing a sense of touch to robotics can significantly improve capabilities and functionality compared to today’s visual-only systems and how neuromorphic processors can outperform traditional architectures in processing such sensory data.

How Automation Makes Life – Not Just Work – More Human

In this contributed article, Prince Kohli, CTO of Automation Anywhere, explores how the digitization of our personal lives, and resulting tsunami of data, is unearthing new possibilities for automating daily life. He highlights the incredible potential for RPA to eliminate the mundane from our personal lives, freeing up time to spend with loved ones, pursue our passions, and make the most out of our daily lives.