AI Is Terrible at Detecting Misinformation. It Doesn’t Have to Be.
Elon Musk has said he wants to make Twitter “the most accurate source of information in the world.” I am not convinced that he means
Elon Musk has said he wants to make Twitter “the most accurate source of information in the world.” I am not convinced that he means
What is the next step toward bridging the gap between natural and artificial intelligence? Scientists and researchers are divided on the answer. Yann LeCun, Chief
For all the remarkable recent progress in AI research, we are still very far from creating machines that think and learn as well as people
In a world where many tasks have been automated close to perfection, the next great goal of Artificial Intelligence (AI) is Artificial General Intelligence (AGI).
Efforts have been underway for forty years to build computers that might emulate some of the structure of the brain in the way they solve
Recently I had the opportunity to attend the inaugural Emotion AI Conference, organized by Seth Grimes, a leading analyst and business consultant in the areas of natural
Last year, the machine learning community was thrown into disarray when its top minds Yann LeCun, Ali Rahimi and Judea Pearl had a faceoff on
Machine learning is one of those buzz words that gets thrown around as a synonym for AI (Artificial Intelligence). But this really is not accurate.
We are awash in an ocean of data that grows bigger by the second. And it’s a complete and utter mess. It doesn’t matter how
AI is on every CIO’s mind. It’s coming down to earth and getting to work. And many corporations are flush with cash from tax reform.
Nvidia CEO Jensen Huang showed up at a gathering of artificial intelligence researchers in Long Beach, Calif. this week with a couple of big surprises.
Advances in deep learning and other machine learning algorithms are currently causing a tectonic shift in the technology landscape. Technology behemoths like Google, Microsoft, Amazon,