Facebook Turns to Deep Learning to Grow Search Possibilities

Facebook is looking to expand its Graph Search algorithms to account for the use of slang and expressions, and translate them into searchable key words. The company adjusted its search algorithms in January, and the changes mostly worked. The new algorithms signal the beginning of new ways to search user information using natural and nuanced language, and provide more personalized ads. Other tech companies are looking into similar technologies. Continue reading Facebook Turns to Deep Learning to Grow Search Possibilities

BookVibe Makes Recommendations Based on Twitter Feeds

BookVibe, created by startup Parakweet, analyzes the tweets of a user’s Twitter followers, and creates book recommendations based on mentioned books. The company uses artificial intelligence technologies to differentiate between a tweet with genuine regards to a book and a tweet that only mentions it. Parakweet is also developing tools for publishers and media companies for more advanced analysis on social media of books and movies. Continue reading BookVibe Makes Recommendations Based on Twitter Feeds

Advancement of Human Intelligence and Cognitive Systems

Humans and machines have evolved together over time. Within the past 200 years, technology, and human use of it, has significantly improved beyond most expectations. But the Internet, digital technologies and the mass number of mobile devices, offers massive amounts of data that require new ways of analyzing it. Irving Wladawsky-Berger suggests that cognitive systems can perform the task, and help make new determinations on a much larger scale. Continue reading Advancement of Human Intelligence and Cognitive Systems

Expect Labs Software Understands Phone Conversations

Mobile carrier Telefónica is testing technology from Expect Labs that listens in on phone calls. The new type of artificial intelligence provides suggestions based on key terms in a phone conversation, by converting the conversation to text and offering instant relevant information. New investments in the San Francisco startup have been made by Telefónica, Samsung and Intel. Google Ventures invested in Expect Labs back in October. Continue reading Expect Labs Software Understands Phone Conversations

DARPA Turns to Algorithms to Improve Machine Learning

Pentagon research agency DARPA is readying a four-year project to design artificial intelligence systems based on machines that can teach themselves using algorithms. An additional goal is to make it possible for ordinary people to build these machines. The agency believes it is possible to design and build computers that learn and evolve, not by modeling them after the human brain, but rather by using algorithms. Continue reading DARPA Turns to Algorithms to Improve Machine Learning

MIT Initiative Explores Impact of Emerging Digital Economy

MIT has launched the new “Initiative for the Digital Economy” to address the impact of existing and emerging digital technologies. The initiative’s three primary objectives are to analyze the potential of digital technologies to change businesses, the economy, and society; to engage students and faculty in programs related to the digital revolution; and to make practical recommendations to industry leaders and policymakers regarding the digital economy. Continue reading MIT Initiative Explores Impact of Emerging Digital Economy

Next Generation Web: Will Siri Spark Machines Talking to Machines?

  • In a post that describes what should follow after Siri, GigaOM suggests, “Apple’s artificial intelligence is only the tip of the iceberg as we combine ubiquitous connectivity, sensor networks, big data and new methods of AI and programming into a truly connected network.”
  • The next generation of the Web will “connect machines to machines and connect those machines back to people” with advancements in low-power, cheap sensors and “better ways of programming computers so that they can understand data from several million end points.”
  • The necessary connectivity exists currently and improvements of sensors for tracking everything — weather, inventory, traffic conditions, etc. — will provide the necessary information.
  • From there, programming and better AI like Siri, “will allow machines to parse the data from billions of sensors and notify people to take action only when needed.”

Siri: Imagining the Untapped Potential of Artificial Intelligence

  • Geek.com writer Will Shanklin believes Siri’s capabilities would be enormously expanded with access to third party apps. Currently, “Yelp and Wolfram Alpha appear to be the only ones in that elite group.”
  • Third party apps could enable users to play music among different streaming services, quickly use music ID, combine data from multiple services (“How about a combination of Netflix and IMDb data?”), get real-time navigation and a range of other convenient possibilities.
  • Siri access to Facebook could expedite posts, messages and notifications and quickly get information from friends’ profiles.
  • “As much as you might be blown away by Siri’s capabilities now, we will likely look back at this as ‘Siri 1.0’ five years from now,” writes Shanklin. “In much the same way that the first iPhone’s single-paged homescreen – with no third-party apps – looks primitive now, this introductory version of Siri will pale in comparison to where ‘she’ will be then.”