We are presently living in an age of "artificial intelligence" -- but not how the companies selling "AI" would have you believe. According to Silicon Valley, machines are rapidly surpassing human performance on a variety of tasks from mundane, but well-defined and useful ones like automatic transcription to much vaguer skills like "reading comprehension" and "visual understanding." According to some, these skills even represent rapid progress toward "Artificial General Intelligence," or systems which are capable of learning new skills on their own. Given these grand and ultimately false claims, we need media coverage that holds tech companies to account. Far too often, what we get instead is breathless "gee whiz" reporting, even in venerable publications like The New York Times.
Diseases like breast and skin cancer can be detected with close to 100% accuracy with the help of deep learning. In simple terms, artificial intelligence (AI) is the ability of a digital computer (or computer-controlled robot) to perform certain tasks with intelligence. AI tends to mimic human intelligence in that it relies on the ability to reason, learn from experience, and make decisions. Learning, reasoning, and problem-solving are the building blocks of artificial and human intelligence. Artificial intelligence has branches or categories such as machine learning and deep learning, which both involve the imitation of human intelligence.
Meta recently announced a long-term research partnership to study the human brain. According to the company, it intends to use the results of this study to "guide the development of AI that processes speech and text as efficiently as people." This is the latest in Meta's ongoing quest to perform the machine learning equivalent of alchemy: producing thought from language. The big idea: Meta wants to understand exactly what's going on in people's brains when they process language. Then, somehow, it's going to use this data to develop an AI capable of understanding language. According to Meta AI, the company spent the past two years developing an AI system to process datasets of brainwave information in order to glean insights into how the brain handles communication.