Government’s other big NextGen Program “Advanced Research Projects Agency-EnergyAdvanced Research Projects Agency-Energy” (ARPA) is funding a personal climate change solution with robots, foot coolers, etc. There is one fact; US Government does love their acronyms.
Why heat or cool a whole building when you could heat or cool individual people instead?
More large steps forward in Quantum technology with the latest chip with optical qubits.
The optical chip overcomes a number of obstacles in the development of quantum computers. A research team has demonstrated that on-chip quantum frequency combs can be used to simultaneously generate multiphoton entangled quantum bit states. It is the first chip capable of simultaneously generating multi-photon qubit states and two-photon entangled states on hundreds of frequency modes. The chip is scalable, compact, and compatible with existing technologies.
Allen Institute working with Baylor on reconstructing neuronal connections.
The Intelligence Advanced Research Projects Activity (IARPA) has awarded an $18.7 million contract to the Allen Institute for Brain Science, as part of a larger project with Baylor College of Medicine and Princeton University, to create the largest ever roadmap to understand how the function of networks in the brain’s cortex relates to the underlying connections of its individual neurons.
The project is part of the Machine Intelligence from Cortical Networks (MICrONS) program, which seeks to revolutionize machine learning by reverse-engineering the algorithms of the brain.
“This effort will be the first time that we can physically look at more than a thousand connections between neurons in a single cortical network and understand how those connections might allow the network to perform functions, like process visual information or store memories,” says R. Clay Reid, Ph.D., Senior Investigator at the Allen Institute for Brain Science, Principal Investigator on the project.
Another data scientist with pragmatic thinking which is badly needed today. Keeping it real with Una-May O’Reilly.
Mumbai: Una-May O’Reilly, principal research scientist at Anyscale Learning For All (ALFA) group at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory, has expertise in scalable machine learning, evolutionary algorithms, and frameworks for large-scale, automated knowledge mining, prediction and analytics. O’Reilly is one of the keynote speakers at the two-day EmTech India 2016 event, to be held in New Delhi on 18 March.
In an email interview, she spoke, among other things, about how machine learning underpins data-driven artificial intelligence (AI), giving the ability to predict complex events from predictive cues within streams of data. Edited excerpts:
When you say that the ALFA group aims at solving the most challenging Big Data problems—questions that go beyond the scope of typical analytics—what do you exactly mean?
I like this article; why? Because if I plan to make any investment into a robot that is my personal assistant, or housekeeper, or caregiver, etc. I want to ensure that they fit my own needs as a person. Many of us have taken some sort of a personality profile for work; interview for jobs where you were reviewed to be a “fit” culturaly, etc. as well as met people 1st before you hired them. So, why should be any different from the so called “humnoid robots?” And, this should be intriguing for some of us where only 6% of your gender thinks and processes information like you do.
Emotional behaviors can make your drone seem like it’s an adventurer, anti-social, or maybe just exhausted.
