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Artificial Intelligence: The Importance of Explainability
Explainable AI (XAI) is the application of artificial intelligence that produces results that include the reasoning for how the solution was achieved. Early AI algorithms, especially in the areas of Machine Learning and Neural Networks, could often produce stunningly accurate…
BLOOM: The Open-Source Alternative to GPT-3-like Large Language Models
OpenAI’s GPT-3 may have been first, or at least first to generate a widespread ‘wow’ from people once they saw what AI Large learning Models can do. Since then there have been competitors, like Google’s LaMDA, China’s Wu Dao 2.0,…
Artificial Intelligence: Facial Recognition Vulnerable to Attacks and Misuse
How secure is facial recognition as a biometric tool to lock up secrets? It may be good enough to protect access to your cellphone, but increasingly adversarial AI researchers are figuring out ways to defeat it. Researchers at Tel Aviv…
Artificial Intelligence: Improving Clinical Diagnoses and Patient Outcomes
It is unfortunate, but medical diagnostic errors are actually quite common. As many as 12 to 18 million medical diagnostic errors occur every year in the US. That’s about 5 percent of all clinal diagnostic tests. This is a contributor…
Artificial Intelligence: AI as Master Hacker
Increasingly we find that Artificial Intelligence can improve our lives through automation, smart decision making, solving complex problems, and providing unexpected insights. That’s the potential good that AI can do, but the flip side is that AI can be used…