Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Why did humans start speaking? Scientists suggest genetics played a big role – and they say the evolution of this singular ability was key to our survival. A new study links a particular gene to the ancient origins of spoken language, proposing that a protein variant found only in humans may have helped us communicate in a novel way.

In treating brain cancer, time is of the essence. A new study, in which IBM Watson took just 10 minutes to analyze a brain-cancer patient's genome and suggest a treatment plan, demonstrates the potential of artificially intelligent medicine to improve patient care. But although human experts took 160 hours to make a comparable plan, the study's results weren't a total victory of machine over humans. The patient in question was a 76-year-old man who went to his doctor complaining of a headache and difficulty walking. A brain scan revealed a nasty glioblastoma tumor, which surgeons quickly operated on; the man then got three weeks of radiation therapy and started on a long course of chemotherapy.

In treating brain cancer, time is of the essence. A new study, in which IBM Watson took just 10 minutes to analyze a brain cancer patient's genome and suggest a treatment plan, demonstrates the potential of artificially intelligent medicine to improve patient care. But although human experts took 160 hours to make a comparable plan, the study's results weren't a total victory of machine over humans. The patient in question was a 76-year-old man who went to his doctor complaining of a headache and difficulty walking. A brain scan revealed a nasty glioblastoma tumor, which surgeons quickly operated on; the man then got three weeks of radiation therapy and started on a long course of chemotherapy.

Twenty patients with an aggressive form of brain cancer will have a new doctor on their medical team: the learned geneticist known as IBM Watson. In a collaboration announced today between IBM and the New York Genome Center, IBM's Jeopardy-beating AI will analyze the genomes of those 20 patients in hopes of providing insights for their oncologists. IBM has been promoting its AI as a killer app for health care, thanks to Watson's natural language processing skills and machine learning abilities. Over the past two years Watson has been engaged in a separate project at New York's Memorial Sloan-Kettering Cancer Center, in which doctors are training the AI to understand the language of medicine. In that project, Watson is being taught to read patients' records and search the medical literature for relevant suggestions on treatment.

NVIDIA CEO Jen-Hsun Huang earlier this year delivered our NVIDIA DGX-1 AI supercomputer in a box to the University of California, Berkeley's Berkeley AI Research Lab (BAIR). BAIR's over two dozen faculty and more than 100 graduate students are at the cutting edge of multi-modal deep learning, human-compatible AI and connecting AI with other scientific disciplines and the humanities. "I'm delighted to deliver one of the first ones to you," Jen-Hsun told a group of researchers at BAIR celebrating the arrival of their DGX-1. The team at BAIR are working on a dazzling array of AI problems across a huge array of fields -- and they're eager to experiment with as many different approaches as possible. To do that, they need speed, explains Pieter Abbeel, an associate professor at UC Berkeley's Department of Electrical Engineering and Computer Science.

Researchers at the New York Genome Center are working with IBM Watson to make better treatment plans for cancer patients. Researchers at the New York Genome Center are working with IBM Watson to make better treatment plans for cancer patients. A computer may soon be able to offer highly personalized treatment suggestions for cancer patients based on the specifics of their cases and the full sweep of the most relevant scientific research. IBM and the New York Genome Center, a consortium of medical research institutions in New York City, are collaborating on a project to speed up cancer diagnoses and treatment. The work, which got underway in 2013, is exploring the use of computers to help analyze a wide range of genetic information and the scientific literature with the goal of quickly formulating precise treatment plans for cancer patients.