While not all arrhythmias are fatal or even dangerous, it’s still a cause for concern. Some, after all, could cause heart failure and cardiac arrest, and a lot of people with abnormal heart rhythms don’t even show symptoms. A team of researchers from Stanford University might have found a way to effectively diagnose the condition even if a person isn’t exhibiting symptoms and even without a doctor. They’ve developed an algorithm that can detect 14 types of arrhythmia — they also claim that based on their tests, it can perform “better than trained cardiologists.”
Researchers from the Google Brain deep learning project have already taught AI systems to make trippy works of art, but now they’re moving on to something potentially darker: AI-generated, human-independent encryption. According to a new research paper, Googlers Martín Abadi and David G. Andersen have willingly allowed three test subjects — neural networks named Alice, Bob and Eve — to pass each other notes using an encryption method they created themselves.
Antivirus and malware protection programs are great, but they have a fatal flaw: they can only protect your PC from threats they know about. It’s not a terrible problem, but it gives attackers a brief window of opportunity to harm your computer every time they tweak their code. If a PC hasn’t nabbed the latest update to its protection suite, it’s vulnerable — but it doesn’t have to be that way. Researchers are using deep learning algorithms that can spot new malicious code naturally, without database updates.