Skip to main content

Voices in AI – Episode 37: A Conversation with Carolina Galleguillos

In this episode Byron and Carolina discuss computer vision, machine learning, biology and more.

-
-
0:00
0:00
0:00

Byron Reese: This is Voices in AI brought to you by Gigaom, I’m Byron Reese. Today our guest is Carolina Galleguillos. She’s an expert in machine learning and computer vision. She did her undergrad work in Chile and has a master’s and PhD in Computer Science from UC San Diego. She’s presently a machine learning engineer at Thumbtack. Welcome to the show.

Carolina Galleguillos: Thank you. Thank you for having me.

So, let’s start at the very beginning with definitions. What exactly is “artificial” about artificial intelligence?

Well, I read somewhere that artificial intelligence is basically trying to make machines think, which is very “sci-fi,” I think, but what I’m trying to say here is we’re trying to automate a lot of different tasks that humans do. We have done that before in the Industrial Revolution, but now we’re trying to do it with computers and with interfaces that look more human-like. We also have robots that also have computers inside. I think that’s more of the artificial part. The intelligence, we’ll see how intelligent these machines will become in time.

Alan Turing asked the question, “Can a machine think?” Do you think a machine can think, or will a machine be able to think?



from Gigaom https://gigaom.com/2018/03/29/955529/

Comments

Popular posts from this blog

Who is NetApp?

At Cloud Field Day 9 Netapp presented some of its cloud solutions. This comes on the heels of NetApp Insight , the annual corporate event that should give its user base not just new products but also a general overview of the company strategy for the future. NetApp presented a lot of interesting news and projects around multi-cloud data and system management. The Transition to Data Fabric This is not the first time that NetApp radically changed its strategy. Do you remember when NetApp was the boring ONTAP-only company? Not that there is anything wrong with ONTAP of course (the storage OS originally designed by NetApp is still at the core of many of its storage appliances). It just can’t be the solution for everything, even if it does work pretty well. When ONTAP was the only answer to every question (even with StorageGrid and EF systems already part of the portfolio), the company started to look boring and, honestly, not very credible. The day the Data Fabric vision was announced

Inside Research: People Analytics

In a recent report, “ Key Criteria for Evaluating People Analytics ,” distinguished analyst Stowe Boyd looks at the emerging field of people analytics, and examines the platforms that focus on human resources and the criteria with which to best judge their capabilities. Stowe in the report outlines the table stakes criteria of People Analytics—the essential features and capabilities without which a platform can’t be considered relevant in this sector. These include basic analytic elements such as recording performance reviews, attendance monitoring, and integration with other HR tools. The report also defines the key criteria, or the features that actively differentiate products within the market and help organizations to choose an appropriate solution. These criteria include: Full employee life cycle tracking Support for different employee types (seasonal or freelance workers) Employee surveys Diversity and inclusion monitoring Stowe also looks at the rapid innovation and em