Received Restricted Data DS DS
Beginning March 30, emails containing credit card or Social Security numbers sent from external parties to @uab.edu addresses will result in a warning about unprotected messages that contain Restricted information.

Users who receive such warnings must notify the external party that the sending of Restricted information to UAB employees or students is prohibited. If such emails are part of a current business process, that process should be re-engineered to eliminate the use of Social Security numbers or credit card information.

UAB IT is already blocking the sending of emails from @uab.edu addresses if the message appears to contain a Social Security number or credit card number. Sending credit card or Social Security numbers via email can make you or others more vulnerable to identity theft — and is against UAB policy.

Social Security numbers and credit card numbers are classified as Restricted/PHI under the Data Classification Rule.

UAB IT Research Computing will hold a set of seminars on machine learning and deep learning on Tuesday, March 20.

Please register here if you are interested in attending, as it helps with planning. The seminars will be held at the Edge of Chaos at Lister Hill Library.

The seminar will be presented by application engineers from Mathworks and will consist of two sessions:

Session 1: Data Analytics with MATLAB, 9 to 11:30 a.m.

Using Data Analytics to turn large volumes of complex data into actionable information can help you improve engineering design and decision-making processes. However, developing effective analytics and integrating them into other systems can be challenging. In this session, you will learn approaches and techniques available in MATLAB to tackle these challenges.

Highlights include:

  • Accessing, exploring, and analyzing data stored in files, databases and the web
  • Techniques for cleaning, visualizing, and combining complex out-of-memory data sets
  • Prototyping, testing, and refining predictive models using machine learning methods
  • Integrating and running analytics within embedded platforms, enterprise business systems and interactive web applications

Session 2: Demystifying deep learning: A practical approach in MATLAB, 12:30 to 3 p.m. 

Are you new to deep learning and want to learn how to use it in your work?   Deep learning can achieve state-of-the-art accuracy in many humanlike tasks such as naming objects in a scene or recognizing optimal paths in an environment.

The main tasks are to assemble large data sets, create a neural network, to train, visualize, and evaluate different models, using specialized hardware - often requiring unique programming knowledge. These tasks are frequently even more challenging because of the complex theory behind them.

In this seminar, we’ll demonstrate new MATLAB features that simplify these tasks and eliminate the low-level programming. In doing so, we’ll decipher practical knowledge of the domain of deep learning.  We’ll build and train neural networks that recognize handwriting, classify food in a scene, and figure out the drivable area in a city environment.  

Along the way, you’ll see MATLAB features that make it easy to:

  • Manage extremely large sets of images
  • Visualize networks and gain insight into the black box nature of deep networks
  • Perform classification and pixel-level semantic segmentation on images
  • Import training data sets from networks such as GoogLeNet and ResNet
  • Import and use pre-trained models from TensorFlow and Caffe
  • Speed up network training with parallel computing on a cluster
  • Automate manual effort required to label ground truth
  • Automatically convert a model to CUDA to run on GPUs

After considering feedback from the University community, UAB IT has removed the external sender notification from emails sent to uab.edu email accounts.

The external sender notice was intended to help the University community distinguish potential phishing emails that come from outside the UAB email system as this has been a common method for malicious attacks.

The addition of the external sender notice was approved through shared governance and recommended by faculty representatives.

“We are exploring additional mechanisms to implement practical, effective security to protect our world-class faculty, students and staff so that they can change the world safely,” said Curtis A. Carver Jr., Ph.D., vice president and chief information officer.

To further protect the University, UAB IT recommends that faculty, staff and students take advantage of the two-factor authentication tool Duo. Multi-factor and two-factor authentication tools have proven to be the most effective defenses against phishing emails. Find more information about two-factor authentication at uab.edu/2factor.

Having a tech problem on campus? Now you can report it right from your phone.

The UAB mobile app’s IT tile is upgraded to give you easy access to report a technology problem or a campus WiFi problem. And if you are reporting a WiFi issue, your phone will be able to pinpoint for our technicians where you are on campus, so we can help more quickly.

The IT tile also has easy links to IT news, the TechConnect store, email setup help, security tips, 2-factor authentication information, cloud storage information and quicklinks for technology help.

Coming soon to the app, we will have even more updates — including the ability for you to move tiles around and delete those you don’t need. Get the app here.

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