The Research

Machine learning computer systems, which get better with experience, are poised to transform the economy much as steam engines and electricity have in the past. They can outperform people in a number of tasks, though they are unlikely to replace people in all jobs. So say Carnegie Mellon University’s Tom Mitchell and MIT’s Erik Brynjolfsson in a Policy Forum commentary to be published in the Dec. 22 edition of the journal  Science.  Mitchell, who founded the world’s first Machine Learning Department at CMU, and Brynjolfsson, director of the MIT Initiative on the Digital Economy in the Sloan School of Management, describe 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,” they write. The skills people choose to develo...

University of California, Berkeley scientists have for the first time used CRISPR-Cas9 gene editing to disable a defective gene that causes amyotrophic lateral sclerosis, or Lou Gehrig’s disease, in mice, extending their lifespan by 25 percent. The therapy delayed the onset of the muscle wasting that characterizes the disease, which results in progressive weakness and eventually proves fatal when the muscles that control breathing fail. This step toward a CRISPR cure for human ALS will be reported Dec. 20 in the journal  Science Advances. The mice were genetically engineered to express a mutated human gene that in humans causes about 20 percent of all inherited forms of the disease and about 2 percent of all cases of ALS worldwide. Though the genetic cause is not known for all cases of ALS, all are accompanied by the premature death of motor neurons in the brain stem and spinal cord. The neurons allow the brain to control muscles, so loss of this connection means loss of...