Rebooting AI: Building Artificial Intelligence We Can Trust
Prashanth Narayan and added
Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything
amazon.com
Alex Dobrenko and added
Gary Marcus • Deep Learning Is Hitting a Wall
Prashanth Narayan added
In time we will see that deep learning was only a tiny part of what we need to build if we’re ever going to get trustworthy AI.
Gary Marcus • Deep Learning Is Hitting a Wall
Prashanth Narayan added
Instead, we're moving into Software 2.0 (a shift that Michael Taylor recently wrote about), where we describe a goal that we want to achieve and train a model to accomplish it. Rather than having a human write instructions for the computer to follow, training works by searching through a space of possible programs until we find one that works. In S
... See moreDan Shipper • Five New Thinking Styles for Working With Thinking Machines
Kaustubh Sule added
The Shift from Formal Theories to Engineering Outcomes in AI Development: In recent years, the development of artificial intelligence (AI) has transitioned from focusing primarily on formal theories and mathematical models to emphasizing practical engineering outcomes. This shift reflects a growing recognition of the importance of real-world applications, such as improving user experience and enhancing automation, over purely theoretical advancements. As a result, researchers and developers are increasingly prioritizing iterative design and testing processes to create more effective and user-friendly AI systems.
