Mayhem, the Machine That Finds Software Vulnerabilities, Then Patches Them

The machine triumphed in DARPA’s Cyber Grand Challenge, where teams automated white-hat hacking

10 min read
Photo-illustration: Sean McCabe
Photo-illustration: Sean McCabe

Back in 2011, when the venture capitalist Marc Andreessen said that “software is eating the world,” it was still a fresh idea. Now it’s obvious that software permeates our lives. From complex electronics like medical devices and autonomous vehicles to simple objects like Internet-connected lightbulbs and thermometers, we’re surrounded by software.

And that means we’re all more exposed to attacks on that software than ever before.

Keep reading... Show less

Stay ahead of the latest trends in technology. Become an IEEE member.

This article is for IEEE members only. Join the world’s largest professional organization devoted to engineering and applied sciences and get access to all of Spectrum’s articles, podcasts, and special reports. Learn more →

Membership includes:

  • Get unlimited access to IEEE Spectrum content
  • Follow your favorite topics to create a personalized feed of IEEE Spectrum content
  • Save Spectrum articles to read later
  • Network with other technology professionals
  • Establish a professional profile
  • Create a group to share and collaborate on projects
  • Discover IEEE events and activities
  • Join and participate in discussions

Startup Makes It Easier to Detect Fires With IoT and Flir Cameras

The system employs predictive analytics and AI

3 min read
A tablet computer shows blueprints overlaid with thermal imagery.

MoviTHERM’s iEFD system’s online dashboard shows a diagram of the interconnected sensors, instruments, Flir cameras, and other devices that are monitoring a facility.

MoviTHERM

Fires at recycling sorting facilities, ignited by combustible materials in the waste stream, can cause millions of dollars in damage, injuring workers and first responders and contaminating the air.

Detecting the blazes early is key to preventing them from getting out of control.

Keep Reading ↓ Show less

Mayo Clinic Researchers Pump Up Wearable ECG Functions With AI

Single-lead ECG can detect ventricular dysfunction

3 min read
A closeup image of a person about to touch an apple watch screen showing a health app with their finger.
Istockphoto

Mayo Clinic researchers have developed an artificial-intelligence algorithm that can detect weak heart-pump functioning from a single-lead electrocardiogram (ECG) on the Apple Watch. Early results indicate that the ECG is as accurate as a medically ordered treadmill stress test but could be performed anywhere, the researchers say.

The single-lead AI algorithm was adapted from an existing algorithm that works by analyzing ventricular pumping data from a 12-lead ECG already in clinical use under an Emergency Use Authorization from the U.S. Food and Drug Administration (FDA).

Keep Reading ↓ Show less

Harnessing the Power of Innovation Intelligence

Through case studies and data visualizations, this webinar will show you how to leverage IP and scientific data analytics to identify emerging business opportunities

1 min read
Clarivate
Clarivate

Business and R&D leaders have to make consequential strategic decisions every day in a global marketplace that continues to get more interconnected and complex. Luckily, the job can be more manageable and efficient by leveraging IP and scientific data analytics. Register for this free webinar now!

Join us for the webinar, Harnessing the power of innovation intelligence, to hear Clarivate experts discuss how analyzing IP data, together with scientific content and industry-specific data, can provide organization-wide situational awareness and reveal valuable business insights.

Keep Reading ↓ Show less