If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
On Friday, Google released two papers that were published in the journals Archives of Pathology and Laboratory Medicine and The American Journal of Surgical Pathology. The first paper set out to show that the algorithm could be used to pick up cancer cells on the tissue images it was presented. In addition to looking at the slides from the Netherlands, the algorithm also had to look at 108 slides from another laboratory.
More than half a million people are diagnosed with cancers of the head and neck each year, many of whom choose to undergo radiotherapy. But it's a delicate process: The surrounding tissue can be severely damaged if it isn't carefully isolated prior to treatments. In partnership with the University College London Hospital, Google subsidiary DeepMind is exploring ways artificial intelligence (AI) can aid in the segmentation process. It today announced a significant step forward in the pursuit of that vision: validation of a model that exhibits "near-human performance" on CT scans. "Automated … segmentation has the potential to address these challenges but, to date, performance of available solutions in clinical practice has proven inferior to that of expert human operators," the researchers wrote.
Kai-Fu Lee became a legend in artificial intelligence research and the tech world because of his groundbreaking work the past three decades with Apple, Microsoft, and Google. But Lee says cancer has radically changed the way he views technology, his life, and the world of medicine. In September 2013, the former head of Google China was given a diagnosis of stage IV follicular non-Hodgkin's lymphoma. The cancer diagnosis put his career and life on the line. Then, it put his career and life in a new light.
As you plan your agenda, artificial intelligence (AI) is undoubtedly a hot topic on your list. This year we have a lot of great technical content on AI, machine learning (ML), and deep learning (DL)--with over 200 breakout sessions, hands-on workshops, deep-dive chalk talks, and more. You'll hear success stories about machine learning on AWS firsthand from customers and partners such as Sony, Moody's, NFL, Intuit, 21st Century Fox, Toyota, and more. This year's re:Invent also includes the AI Summit, where thought leaders in the academic community will share their perspectives on the future of AI. Here are a few highlights of this year's lineup from the re:Invent session catalog to help you plan your event agenda.
Some women can be treated with lumpectomies, which conserve the breast. But more women are turning to mastectomies, not only to treat breast cancer, but also to prevent it; the rate of mastectomies increased 36 percent from 2005 to 2013, according to the U.S. Department of Health and Human Services.
A 13-year-old boy from Oregon has won the Young Scientist Challenge by inventing an artificial intelligence treatment for pancreatic cancer. Rishab Jain created an algorithm to improve cancer treatment by using AI to locate and track the pancreas in real time. A prime challenge in radiation treatment is locating the pancreas itself, which is often obscured by the stomach or other organs, resulting in healthy cells being inadvertently hit. Rishab's algorithm improves accuracy and increases the impact of radiation treatment, according to organizers of the competition. The seventh grade student said he started the project last year, when he learned that pancreatic cancer, the third-leading cause of cancer deaths, is devastating and fast-growing.
The world's largest plane, Stratolaunch, has a completed a key taxi test ahead of taking to the skies for the first time. The gigantic plane, which is the vision of late Microsoft co-founder Paul Allen, is believed to be close to its first flight after reaching a record-breaking 90mph during medium-speed taxi testing at the Mojave Air & Space Port. Allen died Monday in Seattle from complications of non-Hodgkin's lymphoma, aged 65. The massive plane has a wingspan longer than a football field and comes equipped with two cockpits, 28 wheels and six engines normally used to power 747 jumbo jets. Eventually it will be used to transport rockets carrying satellites and even a newly revealed manned space plane into the Earth's upper atmosphere, where they will blast off into space.
MIT researchers have developed a cryptographic system that could help neural networks identify promising drug candidates in massive pharmacological datasets, while keeping the data private. Secure computation done at such a massive scale could enable broad pooling of sensitive pharmacological data for predictive drug discovery. Datasets of drug-target interactions (DTI), which show whether candidate compounds act on target proteins, are critical in helping researchers develop new medications. Models can be trained to crunch datasets of known DTIs and then, using that information, find novel drug candidates. In recent years, pharmaceutical firms, universities, and other entities have become open to pooling pharmacological data into larger databases that can greatly improve training of these models.
Artificial intelligence sounds more like something out of a science fiction movie than like a tool for doctors trying to diagnose malignant mesothelioma. But researchers who are working to perfect the transformative technology are predicting that it will become an integral tool in quickly and accurately identifying the rare and fatal form of cancer, allowing physicians to begin the appropriate treatment much more quickly.
Doctors are hopeful using artificial intelligence can be a better way to detect and prevent colon cancer. It's a combination of traditional colonoscopy and computers that can show doctors colon polyps they might otherwise miss, CBS2's Dr. Max Gomez reported Wednesday. With colon cancer on both his mother and father's side, John Gifford said he diligent about getting a colonoscopy every five years. So when his doctor offered a more accurate test -- using AI -- Gifford immediately said yes. "We're living in a tech world and so this seems like the next obvious evolution," Gifford said. The AI colonoscopy, which was developed by doctors at the University of California-Irvine, was designed to spot polyps, where all colorectal cancers begin.