Friday, June 21

Tag: Machine learning

Machine Learning Will Not Replace People In All Jobs: Study
ANALYSIS

Machine Learning Will Not Replace People In All Jobs: Study

Machine learning computer systems, which get better with experience, can outperform people in a number of tasks, though they are unlikely to replace people in all jobs, a study has found. Researchers from Carnegie Mellon University and Massachusetts Institute of Technology (MIT) in the US found 21 criteria to evaluate whether a task or a job is amenable to machine learning (ML). "Although the economic effects of ML are relatively limited today, and we are not facing the imminent end of work as is sometimes proclaimed, the implications for the economy and the workforce going forward are profound," researchers said. The skills people choose to develop and the investments businesses make will determine who thrives and who falters once ML is ingrained in everyday life, they argue. ...
Machine-learning Platform for Healthcare DocSynk Closes $1 Million Seed Funding
FUNDING

Machine-learning Platform for Healthcare DocSynk Closes $1 Million Seed Funding

DocSynk's new machine-learning platform uses data science to put people in control of their healthcare, driving productivity and reducing costs for employers, insurers, and doctors. Finding doctors, scheduling appointments, keeping on top of insurance, and complying with wellness and treatment plans are challenges we all have to face. It's a lot to keep track of. DocSynk is working to make it all much easier with a smarter, simpler app that uses the latest in machine learning and data science to deal with the complexity. Today, the company announced that it closed a $1 million seed funding round led by Hyderabad-based Naya Ventures. "DocSynk's mission of bringing transformation in patient engagement is sorely needed in US healthcare. Organizations of every size are looking for DocSyn...