Building the bridge between AI and biotech
AI is a very powerful toolkit, it is the merge of mathematics, neuroscience, statistics, and many other fields that have built powerful methods to analyze
AI is a very powerful toolkit, it is the merge of mathematics, neuroscience, statistics, and many other fields that have built powerful methods to analyze
This article is part of “the philosophy of artificial intelligence,” a series of posts that explore the ethical, moral, and social implications of AI today
Artificial intelligence (AI) systems today are still far from replicating true human intelligence. But, they are certainly getting better at discerning data patterns and mining
This month, Google forced out a prominent AI ethics researcher after she voiced frustration with the company for making her withdraw a research paper. The
Building AI that can analyze complicated text isn’t enough to protect people from harmful content. We need systems that spot a slang-filled or intentionally misspelled
Most companies recognize that aggressive adoption of digital technologies is increasingly critical to being competitive. Our research shows that the top 10% of early adopters
Boards have a vital role to play in digital transformation. Early role descriptions for digital directors were focused on reacting to immediate disruption, where companies
An end-to-end, integrated chemical research system unveiled by IBM last week gives us a glimpse of how artificial intelligence, robotics and the cloud might change
Data science is, among other things, a language, according to Robert Brunner, a professor in the School of Information Sciences at the University of Illinois.
Data science is, among other things, a language, according to Robert Brunner, a professor in the School of Information Sciences at the University of Illinois.
The promise and ultimate goal of artificial intelligence is to make machine intelligent. With advancement in machine learning, statistical reasoning and pattern recognition, as well
A comprehensive review of the current state of Natural Language Processing, covering the process from shallow to deep pre-training, what’s in an ImageNet, the case