Downsides and Dangers of Cryptominers

While “cryptojacking”— whereby a website visitors’ CPU is “borrowed” to mine for cryptocurrency — has been grabbing headlines with its rapid growth, I’ve read a few blasé comments from a few IT pros that suggest the downsides and real security risks associated with cryptomining aren’t well understood.

Finding New Ideas When You Don’t Have a Broad Network

Executive Summary

People who innovate via recombination (bringing existing ideas or technologies together in new ways or applying them in fresh contexts) tend to be network brokers with diverse contacts, and that vantage point allows them to see things that others can’t. But recent research shows that people who are firmly ensconced in a single, densely connected community can be just as innovative if they do the opposite: narrow their focus. Though network brokers benefit from allocating their attention in a balanced way across all contacts, scouting for recombination opportunities, non-brokers fare better when they selectively attend to a few communication partners who can help them see anomalies and inconsistencies among ideas within their domain. So for the purpose of innovation, neither group should change its approach to networking — but both should pay attention to whom they pay attention.

Reverie Labs uses new machine learning algorithms to fix drug development bottlenecks

Developing new medicines can take years of research and cost millions of dollars before they are even ready for clinical trials. Several biotech startups are using machine learning to revolutionize the process and get drugs into pharmacies more quickly. One of the newest is called Reverie Labs, which is part of Y Combinator’s latest batch. The Boston-based company wants to fix a critical bottleneck in the drug development process by speeding up the process of identifying promising molecules using recently published machine learning algorithms.