Deep Science

Kyle Wiggers Contributor Kyle Wiggers is a senior reporter at TechCrunch with a special interest in artificial intelligence. His writing has appeared in VentureBeat and Digital Trends, as well as a ra

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron (previously D

Welcome to Perceptron, TechCrunch’s weekly roundup of AI news and research from around the world. Machine learning is a key technology in practically every industry now, and there’s far to

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column aims to collect some of t

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column aims to collect some of t

Depending on the theory of intelligence to which you subscribe, achieving “human-level” AI will require a system that can leverage multiple modalities — e.g., sound, vision and text

This week, we'll explore a number of projects aimed at identifying or confirming bias or cheating behaviors in machine learning systems, or failures in the data that support them.

Research papers come out far too frequently for anyone to read them all. That’s especially true in the field of machine learning, which now affects (and produces papers in) practically every industr

Research papers come out far too frequently for anyone to read them all. That's especially true in the field of machine learning, which now affects practically every industry and company.

This column aims to collect some of the most relevant recent discoveries and papers — particularly in but not limited to artificial intelligence — and explain why they matter.

There's more AI news out there than anyone can possibly keep up with, but you can stay tolerably up to date on the most interesting developments with this column.

Researchers are using AI to analyze MRI scans and even track elephants using satellite photography.

Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. Th

Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. Th

Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. Th

Research papers come out at far too rapid a rate for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and com

Computer vision summit CVPR has just (virtually) taken place, and like other CV-focused conferences, there are quite a few interesting papers. More than I could possibly write up individually, in fact

I see far more research articles than I could possibly write up. This column collects the most interesting of those papers and advances, along with notes on why they may prove important in the world o

I see far more research articles than I could possibly write up. This column collects the most interesting of those papers and advances, along with notes on why they may prove important in the world o

You're working late at the 7-Eleven when a guy comes through the door with a mask and a gun. You raise your hands, follow his instructions, empty the cash register and throw some burners in the bag. A