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Tech Talk with Khosla Ventures

Learn about Khosla Ventures and their portfolio companies, and what kinds of technologies they see as a good fit for investment.

 

Khosla Ventures, a member of CSAIL Alliances, is coming to MIT CSAIL to talk about the technologies KV invests in and the technologies that are interested in collaborating with at CSAIL.

 

Stay tuned for more information on specific speakers and the agenda.

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Startup Resource Office Hours with Khosla Ventures

Are you a CSAIL entrepreneur? Curious about the resources that CSAIL Alliances and the MIT Ecosystem offer?

Sign up for Office Hours with MIT CSAIL and Khosla Ventures! 

 

Questions may include: 

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CSAIL article
What the Internet Can Teach Us About AI, with with Senior Research Scientist David Clark

In his recent conversation on Building 32, MIT CSAIL Senior Research Scientist David Clark tells a story from 1995 when he got into a conversation with an economist and friend of his. “He said, ‘David, you have to understand the internet is about routing money, and routing packets is a side effect. And you screwed up the money routing protocols.’ And I said, ‘I didn't design any money routing protocols.’ And he said, ‘that's what I said.’” 

Stata Center exterior
Balyasny Asset Management (BAM) PhD Tech Talk

Join BAM for an engaging TechTalk intended for a PhD audience, followed by networking. More details coming soon!

 

12-1PM: Talk

1-1:30PM: Networking 

The system uses three agents to piece together the objects, walls, and overall look of a 3D scene. Its realistic recreations of indoor spaces help robots practice skills and try out different ways of doing tasks before they’re powered on (Credit: Tim Malieckal/MIT CSAIL using assets from the researchers).
CSAIL article
AI agents create virtual playgrounds to help robots get crucial training data

An increasingly common sight: robots walking down the street, surrounded by astounded onlookers. But these machines aren’t yet the do-it-all assistants you’d want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it’s labor-intensive and time-consuming to physically teach these machines so many actions across different settings. 

Caption:An MIT team proved that it is impossible to get information about correlations from two-way comparisons alone. Correlations can be discerned, however, when large numbers of people rate three alternatives in their order of preference (Credits: iStock).
CSAIL article
When it comes to predicting people’s preferences, it pays to consider “the power of three”

In his 1927 paper, “A law of comparative judgment,” the American psychologist L. L. Thurstone proposed that when people select one option among multiple alternatives, they are picking the one that has the highest value to them, even though they cannot assign a particular number to that choice.

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Startup Resource Office Hours, featuring JIMCO

Are you a CSAIL entrepreneur? Curious about the resources that CSAIL Alliances and the MIT Ecosystem offer?

Sign up for Office Hours to ask these questions and more! 

Questions may include: 

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