Sentences with phrase «develop machine learning algorithms»

Google research scientist Lily Peng, a physician, led a team that developed a machine learning algorithm to diagnose a patient's risk of diabetic retinopathy from a retinal scan.

To enable earlier diagnosis, Marianna La Rocca at the University of Bari in Italy and her colleagues developed a machine learning algorithm to discern structural changes in the brain caused by Alzheimer's disease.

Bell is a computer scientist and he developed a machine learning algorithm that can study traffic camera footage and calculate how often bike and bus lanes are blocked by other vehicles.

Not exact matches

It's developing a machine - learning algorithm that uses data from the genomes of both phages and bacteria.

For example, Google said it had developed it's own custom microchip tailored for software services that are powered by machine - learning algorithms.

In a phone interview, Smith said that 23andMe uses machine learning to develop its algorithm, which is getting smarter over time at surmising people's roots.

With a dedicated team of data scientists and cutting - edge machine learning algorithms, Riskified is continuously developing new fraud prevention tools to maintain its position as the world's leading risk management platform, keeping our merchants one step ahead of frauds.

Equally if not more important, scientists are using the classifications made by Zooniverse participants to develop more accurate machine - learning algorithms so that computers will be able to do this kind of work in the future.See for yourself: zooniverse.org

Ince developed a pipeline of machine learning algorithms to interpret the brain waves, and after two years his algorithm identified the pattern.

Then, to narrow the field, a team of researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), led by Ryan Adams, Assistant Professor of Computer Science, developed new machine learning algorithms to predict which molecules were likely to have good outcomes, and prioritize those to be virtually tested.

An entire subspecialty known as machine learning is devoted to building algorithms that allow computers to develop new behaviors based on experience.

Two physicists at ETH Zurich and the Hebrew University of Jerusalem have developed a novel machine - learning algorithm that analyses large data sets describing a physical system and extract from them the essential information needed to understand the underlying physics.

The algorithms they develop help machines learn from data and apply that knowledge in new situations, much like humans do.

Many machine - learning algorithms develop deliberative processes that involve so many thousands of complex steps that they're impossible for people to review.

It's important to develop strategies, like NEIL's learning algorithms, that allow computers to recognize, categorize and respond to images as the machines become more incorporated into our lives, Gupta says: «Over the past decade, AI researchers have made tremendous advances in the field of computer vision.

They are making the dataset publicly available so machine learning researchers and music hobbyists can adapt or develop their own algorithms to advance music transcription, composition, research or recommendations.

And Monteleoni has developed machine - learning algorithms to create weighted averages of the roughly 30 climate models used by the Intergovernmental Panel on Climate Change.

As researchers team up with computer scientists to develop powerful algorithms and machine learning tools, they are increasing their capacity to identify patterns in huge datasets of biological information and reveal unknown connections to human disease.

Lawrence Livermore National Laboratory researchers Priyadip Ray (left) and Brenden Petersen and their teams, using machine learning algorithms, have developed computer models that can more accurately characterize a patient's progression through stages of sepsis and better predict mortality risk by integrating past medical history, real - time vital signs and other diagnostics.

The data analysis relies on special algorithms developed by Finkbeiner's team, as well as deep machine — learning in which computing systems can uncover complex signals in images.

In a first for machine - learning algorithms, a new piece of software developed at Caltech can predict behavior of bacteria by reading the content of a gene.

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

Jonas Lund will present New Now, a digital painting that he developed with an algorithm that utilizes machine - learning to create new artworks that are based on his previous output.

SAIPS is an Israeli based company focusing on developing machine learning and computer vision, with technology that brings image and video processing algorithms, as well as deep learning tech focused on processing and classifying input signals, all key ingredients in autonomous vehicle tech.

The machine learning process constantly develops the advanced algorithms, which accelerates the neurocontrol mastering.

CEDEX has developed a proprietary machine learning algorithm — the DEX — which is able to price diamonds coherently and transparently with an accuracy above 99.5 %.

Responsibilities include designing and developing the blockchain network, implementing machine learning algorithms and applications, and developing a proof - of - concept prototype with «fast iteration and experimentation».

The project seeks to develop machine - learning algorithms that can scan and identify patterns in sex ads, including the identification of illegal prostitution rings by identifying cryptocurrency wallets that are associated with multiple ads.

Work activities one can expect as a Data Scientist include conducting research, mining data, enhancing data collection procedures, cleaning and verifying the integrity of data, creating data visualization graphs, developing automated data anomaly detectors, building algorithms and using machine learning tools.

* Developing ML Algorithms * Senior leadership experience supervising thousands of students across * Artificial Intelligent multiple schools, with expertise on Machine Learning in different * Art...

Professional Summary: Areas of Expertise: * Offering nearly two decades of progressive experience in developing * Machine Learning Machine Learning algorithms to conduct different research projects such as Health Care applications.