- Apple has acquired a data mining and machine learning company Lattice.io, according to multiple sources familiar with the matter.
- Apple confirmed the acquisition exclusively to Fortune via telephone on Saturday, and provided the following statement via email: “Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans.”
- There isn’t much information publicly available about Lattice, but according to the company’s CrunchBase profile, the startup was born out a Stanford research project called DeepDive.
- The company’s technology appears to use machine learning to parse through databases or the web to answer queries.
- Lattice was co-founded by Chris Re, a professor of computer science at Stanford, and Michael Cafarella, a professor of computer science at the University of Michigan.
Apple’s latest artificial intelligence acquisition, Lattice, was co-founded by Stanford and University of Michigan professors.
Continue reading “Apple Just Acquired This Little-Known Artificial Intelligence Startup”
- For the last years in addressing the future of work I have often focused on the human capabilities that will drive value as machines become more capable and the work landscape is transformed.
- To help define and clarify these capabilities I created a landscape on the role of Humans in the Future of Work, which I first shared publicly in my keynote yesterday.
- This framework overlaps and builds on my Future of Work Framework, specifically building out the distinctive human capabilities that will be relevant and valued as the work landscape is transformed.
- I have spoken and written before about the three fundamental human capabilities for the future of work: EXPERTISE, RELATIONSHIPS and CREATIVITY.
- Recognizing these distinctive human capabilities allows us to design work, organizations and education to use and develop these capabilities to best effect.
For the last years in addressing the future of work I have often focused on the human capabilities that will drive value as machines become more capable and the work landscape is transformed.
Continue reading “Framework: The role of Humans in the Future of Work”
- DeepMind says its new AI model, called a differentiable neural computer (DNC), can be fed with things like a family tree and a map of the London Underground network, and can answer complex questions about the relationships between items in those data structures.
- By augmenting an AI’s capabilities with the power of learning from memory, it’ll likely be able to complete far more complex tasks on its own.
- DeepMind, an artificial intelligence firm that was acquired by Google in 2014 and is now under the Alphabet umbrella, has developed a computer than can refer to its own memory to learn facts and use that knowledge to answer questions.
- It’s the networks that helped DeepMind’s AlphaGo AI defeat world champions at the complex game of Go .
DeepMind has developed a computer than can refer to its own memory to learn facts and use that knowledge to answer questions.
Continue reading “DeepMind’s new computer can learn from its own memory”