Goto

Collaborating Authors

 lead researcher


High-Ranking Researcher Resigns From Google Artificial Intelligence Team

#artificialintelligence

Google in February fired Mitchell, a lead researcher, following a controversy. Google on Tuesday confirmed a leader of its artificial intelligence team has resigned in a departure that comes after the controversial firing of two colleagues. The internet giant declined to comment further on the resignation of Samy Bengio, who has worked at Google about four years and specialized in machine learning. "While I am looking forward to my next challenge, there's no doubt that leaving this wonderful team is really difficult," Bengio wrote in a work email first cited by Bloomberg. Bengio did not refer to Timnit Gebru or Margaret Mitchell, two former members of the team focused on ethical artificial intelligence.


Teaching evolutionary theory to artificial intelligence reveals cancer's life history

#artificialintelligence

Scientists have developed the most accurate computing method to date to reconstruct the patchwork of genetic faults within tumors and their history during disease development, in new research funded by Cancer Research UK and published in Nature Genetics. Their powerful approach combines artificial intelligence with the mathematical models of Charles Darwin's theory of evolution to analyze genetic data more accurately than ever before, paving the way for a fundamental shift in how cancer's genetic diversity is used to deliver tailored treatments to patients. Applying these new algorithms to DNA data taken from patient samples revealed that tumors had a simpler genetic structure than previously thought. The algorithms showed that tumors had fewer distinct subpopulations of cells, called "subclones," than previously suggested. The scientists, based at The Institute of Cancer Research, London, and Queen Mary University of London, could also tell how old each subclone was and how fast it was growing.


Updates and early lessons from our COVID-19 HPC Consortium research partners Amazon Web Services

#artificialintelligence

The concept of a COVID-19 High Performance Computing (HPC) Consortium emerged from a roundtable discussion at the White House in March and included input from industry, government, and academic leaders. Following the announcement of the consortium, AWS has been collaborating with teams on a growing number of projects to provide cloud computing resources from AWS. I want to share three early learnings from this work. Today I would like to provide some insight into some of the innovative projects on which we are collaborating with the world's leading researchers. PostEra is helping to lead Project Moonshot, an open science initiative to find a novel antiviral cure for COVID-19, tested in animals within four months.


Flipping or Turning? This Massive Database of Video Clips Will Help AIs Understand the Difference

IEEE Spectrum Robotics

Imagine if we had to explain all of the actions that take place on Earth to aliens. We could provide them with non-fiction books or BBC documentaries. We could try to explain verbally what twerking is. But, really, nothing conveys an action better than a three second video clip. Thanks to researchers at MIT and IBM, we now have a clearly labelled dataset of more than one million such clips.


Playing Minecraft is linked to university success

Daily Mail - Science & tech

Parents often despair at the amount of time their children spend playing video games, but new research suggests it could be doing them more good than harm. Playing games like Minecraft or Lara Croft can make students smarter, according to a new study. This is because video games help young people develop good communication skills and mental versatility, the researchers claim. Gaming was found to teach students to be resourceful, and the study's lead researcher suggests that video games have a role to play in the future of education. Modern video games often require players to be adaptable and resourceful.


Machine learning leads researchers to more accurate cancer diagnoses

#artificialintelligence

The amount of data in pathology images has previously been too vast for researchers to process easily, but that's changing thanks to advanced machine learning. A group of researchers from Stanford University were able to more accurately predict lung cancer prognoses by grabbing images from the Cancer Genome Atlas from patients with the disease, and then through those train a computer software program to pinpoint characteristics in the images previously unable to be seen by the human eye, according to an announcement. Their research was published in Nature Communications. Once the researchers could home in on those specific characteristics, they were able to figure out the cancer subtype, as well as how long a patient would live with that diagnosis. "Ultimately this technique will give us insight into the molecular mechanisms of cancer by connecting important pathological features with outcome data," Michael Snyder, Ph.D., a professor and chair of genetics at Stanford, said in the announcement.


Lead Researcher - Machine Learning and Data Mining

@machinelearnbot

We are a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life. Employees can be a force for good only when they are working at the top of their ability, learning new skills and challenging themselves with new responsibilities. Allstate's Enterprise Talent Market was developed with that in mind, to help you reach your full potential. Allstate is looking to hire researchers to join our Innovation team at our downtown Chicago and Menlo Park(SF Bay area) locations. Our team works on a diverse set of data and systems including GPS probe, Accident data, LiDAR and high-resolution imagery to create driver safety solutions and helps build next-generation road risk assessing platforms for ADAS, and self- driving vehicles.