Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

Steve Ballmer Advocates Machine Learning as the Next Era of Computer Science

by admin
November 20, 2014
in Machine Learning, News
Home Topics Data Science Machine Learning
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail

Steve Ballmer, former Microsoft CEO and Harvard alumnus; who announced a significant donation to the Computer Science Department at Harvard last week is advocating machine learning as the next era of computer science. Ballmer expressed his excitement about the ability of computer and IT to process huge amounts of data not only to see patterns but to suggest actions and understand human intent.

“I think it’s the dawn of an exciting new era of info and computer science,” Ballmer told Computerworld. “It’s a new world in which the ability to understand the world and people and draw conclusions will be really quite remarkable… It’s a fundamentally different way of doing computer science.”

His emphasis on the potential of machine learning and artificial intelligence (AI) in being able to shape our own future was evident throughout the discussion on the future of CS at Harvard with Harvard President Drew Faust and Cherry Murray, dean of the School of Engineering and Applied Sciences (SEAS).

“It’s not about just putting in input and getting an answer,” Ballmer stated. “Computer science evolves and changes. This is going to be a fundamental area. I’m not trying to pick [what Harvard focuses on] but we do share a passion for this being a leading edge over the next several years.”

Ballmer received a bachelor’s degree in applied mathematics and economics from Harvard College in 1977. He joined Harvard alum, Bill Gates, at Microsoft in 1980. Today, Ballmer is the owner of the Los Angeles Clippers basketball team.


Join the Partisia Blockchain Hackathon, design the future, gain new skills, and win!


November 12, Ballmer emphasized the importance of strengthening the faculty for “the next era of computing,” in fields such as machine learning and computational theory, which are key to propelling “the next wave of innovation and research.” Expanding the faculty cohort from 24 to 36 would “enable the Harvard computer-science department really to be built for the future” computing era.

In light of the recent criticism of artificial intelligence as an existential threat by Tesla and SpaceX CEO, Elon Musk, Ballmer’s statement appears quite contradictory.  “With artificial intelligence, we are summoning the demon,” Musk said in a rather radical statement last month.

Ballmer, to that retorted- “It doesn’t concern me,”. He said “At the end of the day, will we have to have other innovations that protect people from privacy and security [problems]? Of course we will… I don’t think being afraid of any innovation is a good thing.”

He added that he doesn’t think self-driving cars, which would require artificial intelligence and machine learning, will proliferate for another 10 years. “I won’t be getting in any of them any time soon, at least not in the streets of Cambridge,” he said.

Read more here

Follow @DataconomyMedia

(Image Credit: Rain Rannu)

Tags: Bill GatesCherry MurrayDrew FaustElon MuskHarvardLos Angeles ClippersMicrosoftSteve BallmerTeslaWeekly Newsletter

Related Posts

How did ChatGPT passed an MBA exam

How did ChatGPT passed an MBA exam?

January 27, 2023
Google code red: ChatGPT and You.com like AI-powered tools threatening the search engine. Moreover, latest Apple Search rumors increased the danger.

Google code red: ChatGPT, You.com and rumors of Apple Search challenge the dominance of search giant

January 26, 2023
T-Mobile data breach 2023 explained: Learn how did the leak happen and explore T-Mobile data breach history. It is not the first time of the company

T-Mobile data breach 2023: The telecom giant got hacked eight times in the last six years

January 20, 2023
Microsoft layoffs 2023: Amazon job cuts that affect 11,000 employees explained. Big tech layoffs continue... Learn why and what will happen next.

Microsoft layoffs will affect more than 11,000 employees

January 18, 2023
Medibank Data Breach Class Action: Compensation can reach up to $20,000 per person

Medibank Data Breach Class Action: Compensation can reach up to $20,000 per person

January 16, 2023
What is DoNotPay AI Lawyer? The world's first robot lawyer ready to give $1 million to represent you. How does it work? Keep reading.

DoNotPay AI lawyer is ready to give $1 million for any case in US

January 12, 2023

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

LATEST ARTICLES

How did ChatGPT passed an MBA exam?

AI prompt engineering is the key to limitless worlds

Transform your data into a competitive advantage with AaaS

Google code red: ChatGPT, You.com and rumors of Apple Search challenge the dominance of search giant

Tome AI offers a new way to create presentations easily

Transforming data into insightful information with BI reporting

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy
  • Partnership
  • Writers wanted

Follow Us

  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.