Tag: Semantic Scholar

Categories
GeekWire

Semantic Scholar takes in the full sweep of science

Semantic Scholar screengrab
The Allen Institute for Artificial Intelligence’s academic search engine, Semantic Scholar, keeps track of more than 175 million research papers from all fields of science. (Semantic Scholar Graphic)

Seattle’s Allen Institute for Artificial Intelligence says its academic search engine, Semantic Scholar, is now in high gear — thanks to a power boost from Microsoft that helped expand its reach to every field of science.

Over the course of just a few months, Semantic Scholar’s database has gone from indexing 40 million research papers in computer science and biomedicine to taking in more than 175 million papers. The database not only covers the time-honored physical sciences, but also political science and sociology, art and philosophy.

“That’s enabled us to take the research that we’ve done in making AI a tool for overcoming information overload in science [and turn it into] a tool that is now usable by, essentially all scholars around the world,” Doug Raymond, general manager of Semantic Scholar, told GeekWire.

Get the full story on GeekWire.

Categories
GeekWire

Supp.AI tracks how drugs and supplements interact

Dietary supplements
The Allen Institute for Artificial Intelligence’s Supp.AI search engine combs through research focusing on interactions involving nutritional supplements as well as drugs. (GeekWire Photo / Alan Boyle

Physicians and regulators keep close tabs on how different drugs interact. But what about interactions involving dietary supplements?

“There’s just no way for anybody to keep up with the combinations of supplements and drugs,” said Deborah Rappaport, vice president of product at InHealth Medical Services. “It’s a huge number.”

Seattle’s Allen Institute for Artificial Intelligence, or AI2, is harnessing the power of its Semantic Scholar academic search engine to make the job easier. Today it unveiled Supp.AI, a searchable database that indexes 4,650 supplements and drugs from Abbokinase to Zytiga, and serves up research findings on more than 56,000 interactions involving those products.

Get the full story on GeekWire.

Categories
GeekWire

How long will men dominate computer science?

AI2 office
Semantic Scholar was pioneered at the Allen Institute for Artificial Intelligence. (AI2 Photo)

Today it’s mostly a man’s world in computer science — and a tally of the authors behind nearly 3 million research papers in the field suggests that could be the case for the rest of the 21st century.

The findings, reported by researchers at Seattle’s Allen Institute for Artificial Intelligence, point to how far the scientific community still has to go when it comes to gender equality in science, technology, engineering and mathematics, or STEM.

Get the full story on GeekWire.

Categories
GeekWire

Semantic Scholar spices up search engine

AI2 office
Semantic Scholar is one of the projects pioneered at the Allen Institute for Artificial Intelligence. (AI2 Photo)

You wouldn’t use an academic search engine to look for cat videos — but if there’s a video with cats in it that goes with an academic paper, the latest version of Semantic Scholar just might find it for you.

Semantic Scholar is the AI-based search engine that’s been developed by the Seattle-based Allen Institute for Artificial Intelligence, or AI2, specifically to sift through research for the most relevant results.

Over the past three years, the project has indexed more than 40 million research papers. Now AI2’s researchers have turned their algorithms loose to link those papers to associated presentation slides, Github code libraries, summaries of clinical trials, news articles, blogs, social-media postings and videos.

That includes a video with pictures of cats and dogs in it, tied to a paper titled “Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks.”

Get the full story on GeekWire.

Categories
GeekWire

AI2’s search engine gets a biomedical boost

AI2's Marie Hagman
AI2’s Marie Hagman drew upon person experience during her work on Semantic Scholar. (GeekWire Photo / Alan Boyle)

As senior product manager at Seattle’s Allen Institute for Artificial Intelligence, or AI2, Hagman played a key role in figuring out how to incorporate documents from PubMed and other biomedical databases in the academic search tool.

She drew upon her personal experience from 15 years earlier, when she was a software engineer suffering from two stomach ulcers and gastritis. Her specialist gave her a prescription to deal with the issue, but told her she’d probably have to keep taking pills for the rest of her life.

“I was thinking, ‘Hmm … I’m young and healthy. That just doesn’t sound right,’” Hagman recalled. “They still couldn’t tell me why I had this problem. So I decided to be my own advocate.”

She searched through the medical literature on stomach ulcers, and found a study in which researchers pointed to a type of bacteria known as Helicobacter pylori as a potential cause. Armed with that knowledge, she persuaded another specialist to put her on a two-week round of antibiotics.

“I’ve been cured ever since,” Hagman told GeekWire.

Now her objective is to help researchers, and even regular folks, find the most relevant studies that address the medical questions they want to answer.

Get the full story on GeekWire.