“AI” is a lofty term that doesn’t have a universal definition. And in fact, AI is not even new. The field of research in artificial intelligence was established at Dartmouth College in 1956. The term “machine learning” was coined three years later by a man named Arthur Samuel, who taught a computer to play checkers.
An unstable physical system will tend toward equilibrium. With its General Data Protection Regulation, Europe is subjecting United States companies to a regulation that threatens some of their core business models and data infrastructures. The tension between these two regions will eventually settle, and when that happens, the ways we approach data and think about privacy will be fundamentally altered.
My favorite machine learning study is not from a machine learning journal, but from a study about the Ancient Chinese. This says a lot about the versatility of AI.
We sat down with Daven – who studied Computer Science at Stony Brook University and comes to us via enterprise software companies like Salesforce – to discuss high stakes, custom query languages, and cool co-workers.
Part Two of a Three-Part Series where we examine the evolving challenges of second requests, and the promise of AI to help. Our last post addressed the logistical challenges for antitrust counsel facing a second request review. This post will explore competing demands of growing scrutiny and growing risk.
Part I of a series where we examine what you’re up against, and follow up with the promise of AI to help.
Amid the high-stakes and often high-stress negotiations that accompany corporate mergers and acquisitions, a government-mandated “Second Request” poses another formidable hurdle for a company and its antitrust counsel to clear.
Part 1 of a series about the role of AI in a world that’s leaving TAR behind.
In our first installment of this new series, we interviewed Weichen Wang, who holds a Master of Mathematics from the University of Waterloo and has previously worked as an engineer at enterprise software companies like Zenefits and Clio. Read on to learn what it’s like taking on one of the unsolved problems of AI.
We’re thrilled to share some exciting news today: Text IQ has been named to the prestigious AI 100, a select group of promising private companies working on groundbreaking artificial intelligence technology. The list is officially billed as “a ranking of the 100 most promising private artificial intelligence companies in the world,” and is authored annually
Last month, Text IQ hosted the first The Inevitable at the offices of Jones Day in New York City. The invite-only executive gathering was attended by Fortune 100 executives and leading Artificial Intelligence researchers to discuss AI’s evolving role in protecting highly-regulated enterprises. Guests in attendance at The Inevitable included industry influencers such as: Dan