Building Generative AI We Can Trust
2022 will be remembered as an inflection point for generative AI — AI that doesn’t just classify or predict, but creates content of its own,
2022 will be remembered as an inflection point for generative AI — AI that doesn’t just classify or predict, but creates content of its own,
Data gravity is a term that has been gaining attention in recent years as more and more businesses are becoming data-driven. The concept of data
Quantum computers hold the promise of performing certain tasks that are intractable even on the world’s most powerful supercomputers. In the future, scientists anticipate using
A new Columbia University AI program observed physical phenomena and uncovered relevant variables—a necessary precursor to any physics theory. But the variables it discovered were
Sometimes an AI-based system can’t decipher the physical world with a sufficient degree of accuracy and the option of just adding more data isn’t possible.
“We’re going to launch lots of tiny spacecraft into interstellar space, have them discover alien intelligence, then bring back its technology to advance human technology
A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science,
When “The Master Algorithm” was released in 2015, it acted as a window into the field of AI and machine learning, proving to be a
While engineering, finance, and commerce have profited immensely from novel algorithms, they are not the only ones. Large-scale computation has been an integral part of
It takes a human about 20–30 hours to learn how to drive a car, while it takes tens of thousands of hours to train a
“It’s a capital mistake to theorize before one has data”: Sherlock Holmes We all think we’re using data to make rational decisions. The reality is
How can software be faster, cheaper, and more resilient? For many developers, the answer in 2021 was to move the computation out of a few