Iowa State University: Innovative Iowa State University Scientist Advances Machine Learning as Tool for Crop Breeding

Iowa State University: Innovative Iowa State University Scientist Advances Machine Learning as Tool for Crop Breeding. “Using machine learning to develop and utilize plant breeding tools that can deliver improved genetics to farmers faster is a dream of Asheesh (Danny) Singh, associate professor of agronomy at Iowa State University and recipient of the 2020 Raymond and Mary Baker Agronomic Excellence Award.”

The Next Web: AI analyzes biology studies to find out we’re getting better at wildlife conservation

The Next Web: AI analyzes biology studies to find out we’re getting better at wildlife conservation . “A new AI system has revealed that we’re finally getting better at wildlife conservation. Researchers came to this conclusion after using machine learning to analyze more than 4,000 studies on species reintroduction across four decades.”

ZDNet: Facebook has a new tool to spot spammers, and it’s already taken down billions of accounts

ZDNet: Facebook has a new tool to spot spammers, and it’s already taken down billions of accounts. “Chasing fake accounts on social networks is a high-tech game of cat and mouse, and as soon as one troll is down, another one pops up. But Facebook has revealed that it has a new trick up its sleeve to better identify spammers – an improved weapon-of-choice that attackers won’t be able to dodge as easily as before, according to the social media giant.”

Quantum Stat: 100s of datasets for machine learning developers (and counting)

From last month, but I just learned about it today. Quantum Stat: 100s of datasets for machine learning developers (and counting). “With the advent of deep learning and the necessity for more and diverse data, researchers are constantly hunting for the most up-to-date datasets that can help train their ML model. Currently, NLP data seems to be scattered across several 3rd party libraries, Reddit, or in the research arms of big tech. And while these mediums are useful, there doesn’t seem to be a central hub for housing NLP data that can be easily reached and searched by the ML engineer. As a result, we’ve created the ‘Big Bad NLP Database,’ the world’s largest data library in natural language processing:”

Becker’s Hospital Review: Vanderbilt develops EHR data-mining tool to identify disease associations

Becker’s Hospital Review: Vanderbilt develops EHR data-mining tool to identify disease associations. EHR in this case stands for Electronic Health Record. “Nashville, Tenn.-based Vanderbilt University engineers created a new tool that can identify disease co-morbidities by analyzing de-identified EHR data and medical diagnosis codes, according to a Feb. 18 news release. The toolkit, called Phenome-Disease Association Study, uses machine learning algorithms to perform association studies and identify disease co-morbidities across time in EHRs.”

Carnegie Mellon University: Leading AI Scholars Featured in New Oral Archive

Carnegie Mellon University: Leading AI Scholars Featured in New Oral Archive. “[Illah] Nourbakhsh and [Jennifer] Keating have captured the thoughts of some leading AI scholars in a new oral archive that became available online this year. It includes video and transcripts from 22 people, including MIT’s Daniela Rus, Harvard University’s Barbara Grosz and Microsoft’s Eric Horvitz, as well as a number of CMU faculty members such as Martial Hebert, David Danks, Mark Kamlet, Tuomas Sandholm and Jim Herbsleb.”

The Catholic Church’s new tool for ending hunger: machine learning (Aleteia)

Aleteia: The Catholic Church’s new tool for ending hunger: machine learning. “Drought, major storms, crop disease, other climate-related events, and illness are ‘shocks’ that threaten food security, says Catholic Relief Services, the American Catholic Church’s overseas aid agency. Now, CRS says it has a tool that it says can help aid agencies better respond to such shocks so that ordinary people don’t go hungry. That tool is called MIRA, or Measurement Indicators for Resilience Analysis.”