AI News, Machine Learning & Artificial Intelligence

IBM uses machine learning to detect early Alzheimer’s in blood samples

Long before memory loss occurs in patients with Alzheimer’s, the protein amyloid-beta—which has been implicated in the formation of brain tangles that characterize the disease—starts building up in the spinal fluid.

RELATED: Fighting ALS, dementia and more by trapping toxic brain proteins The IBM researchers were able to obtain information on nearly 400 proteins that were measured in blood samples from the ADNI cohort, but they wanted to develop a simple test that could use as few proteins as possible to reflect the buildup of amyloid-beta.

“While all models making use of blood analytes outperformed the base model of age and APOEε4, models that made use of the protein level measurements consistently achieved the strongest predictive performance,” the IBM researchers wrote in the study.

So pharma companies developing drugs to slow or halt the progression of the disease could use a low-cost, minimally invasive way to find clinical trial participants who face a high risk of Alzheimer’s but are many years removed from developing symptoms of the disease, they said.

The high failure rate of these and other Alzheimer’s trials “may be because the people enrolled are in the latest stages of the disease, and have likely already suffered a level of brain tissue loss that cannot easily be repaired,” suggested Ben Gaudey, a staff researcher on the genomics research team at IBM, in a blog post.


It seems that, as of current, data programming works well for text but less so for images/audio.

Using machine learning to improve subseasonal climate forecasting

By using machine learning techniques like the one we created for this contest, [the new model] is able to help energy companies and cities prepare for severe storms much farther in advance,” says Cohen.  The dynamic team of experts combined historical weather-pattern recognition and machine learning in order to produce real-time predictions of temperature and precipitation anomalies two to six weeks in advance for the western United States.   “We capitalized on the current availability of ample meteorological records and high-performance computing techniques to blend both physics-based or dynamic models and statistical machine learning approaches in order to extend the skillful forecast horizon from days to weeks,” says Cohen.  The combination of machine learning techniques and historical weather-pattern recognition is very powerful because it can help the government maximize water resources and prepare for natural disasters or extreme weather conditions.  “There are certainly plans to continue this project, as we have been talking about extending the model to the entire U.S. We demonstrated with this contest that there is potential with this model to leapfrog the forecasting process.

The Complete Machine Learning Bundle is 95% off

Automation is the future, which is good news for everyone who doesn’t feel like driving themselves to work or fixing their own breakfast anymore.

The Complete Machine Learning Bundle delivers over 63 hours of instruction in R programming, Python, and the mathematical foundations of machine learning that will help you delve into this booming field.

From managing and analyzing huge data sets using Hadoop and MapReduce to performing Twitter sentiment analysis using Python, you’ll get a firm grasp of the applications of machine learning.

Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving ...

Should you learn AI? | Artificial Intelligence | Machine Learning | Deep learning

Searching a image when you know the name is possible. But if you want to search for a name if you have only image or logo then what ? Google has a feature ...

Machine Learning and Artificial Intelligence and their role in networking

Season 1, Talk 12 of NetDevOps Live! is all about Machine Learning, Artificial Intelligence. Hank Preston interviews Casey Bleeker, an IOT Developer Advocate ...

Machine Learning and AI for .NET

There's a lot of buzz and hype on AI, ML, deep-learning, Azure AI and cognitive services and so on, within Microsoft and the competition, and for good reasons!

Jia Li: Machine learning and artificial intelligence could transform health care and education

Developing machine learning capabilities will require heavy investment and the cultivation of a generation of developers with a background in data science.

Artificial Intelligence: The Future of Software

Whether you realize it or not, we are currently entering the era of artificial intelligence. AI technologies will radically transform our economy, our society, and our ...

Artificial Intelligence and Machine Learning on Cisco UCS

Explore Cisco AI/ML Computing Solutions: Register for the Cisco UCS C480 ML Server deep dive: Visit .

Which Programming Language for AI? | Machine Learning

How to learn AI for Free : Future Updates : Developers who are moving towards Artificial intelligence and Machine .

Machine learning models + IoT data = a smarter world (Google I/O '18)

With the IoT market set to triple in size by 2020, and massive increases in computing power on small devices, the intersection of IoT and machine learning is a ...

Artificial Intelligence and Machine Learning with ArcGIS

Navigate the world of ArcGIS, Artificial Intelligence (AI) and Machine Learning (ML), and how ArcGIS supports integration with open frameworks to solve spatial ...