Firstly, let me acknowledge that I am no expert in the megatrend of machine learning and therefore writing about an atypical organization might be a bit of a bold move. I shall express my thoughts nonetheless – because of how […]
machine learning
Machine-learning in insurance is a sweet deal for customers
Tired of being given lemons by traditional insurers, customers are turning to Lemonade
Desktop Metal Aims to Increase Accessibility of Metal-Making Capabilities [1]
Affordable metal 3D printing could democratize manufacturing once and for all
Roche: Improving Drug Discovery and Development with Machine Learning
Machine learning has been touted as a potential cure-all for high drug prices. A number of leading biopharmaceutical companies like Roche have made some large bets in using artificial intelligence tools to improve drug development, but it remains to be seen if machine learning is living up to its hype.
Doctors in china leverage machine learning to improve efficiency and effectiveness
How doctors push AI startups to innovate in medical field.
Your Cells for Sale
Memorial Sloan-Kettering Cancer Center: On the Cutting-Edge of Cancer Care
Deep Genomics – can a machine learning start-up accelerate drug development?
Today, it costs billions of dollars and many years to commercialize a novel drug. Can Deep Genomics leverage machine learning to reduce these cost and time requirements?
CLOUDFLARE: USING MACHINE LEARNING TO SECURE AGAINST CYBER ATTACKS
Cyber attacks got you down? Read how CloudFlare is building better security on the internet.
Teaching an old Deere new tricks: machine learning product development at John Deere
Leveraging machine learning to improve crop yields, reduce farmer costs, and grow revenue
FDA in the Age of Machine Learning: Big Data, Big Risks?
Advances in machine learning and artificial intelligence may now enable patients and providers to detects life-threatening illnesses earlier than ever. But much remains unknown about these rapidly evolving diagnostics. Can the FDA keep up while protecting public health in the era of big data?