Billionaire Masayoshi Son–not Elon Musk, Jeff Bezos, or Mark Zuckerberg–has the most audacious vision for an AI-powered utopia where machines control how we live. And he’s spending hundreds of billions of dollars to realize it. Are you ready to live in Masa World?
[Illustration: Señor Salme]
Biofeedback will also be able to help with problems that feel intractable, by conditioning students to make time to think outside the box. Studies show the best way is to deal with a seemingly intractable problem is to consider it intensely for a period of time and then to relax to an almost meditative state to foster the brain’s creative side.
We have trialled technology that can help users manage this approach in Finland, using an app called Study Train that has been designed by Finnish education experts. The app combines the Pomodoro time-management technique with customised learning rhythms based on an individual’s brain waves, telling students to focus when learning efficiency is high and to rest meditatively to promote lateral thinking and creativity when efficiency is low. It is now being used by students in China, Malaysia and Taiwan as well as in Finland and next year will be rolled out further.
We have long known that the brain has good and bad times for retaining information and solving problems. By combining EEG data and machine learning we can now we confident when those different states occur and use that information to improve students’ learning. 2019 will be the year when study becomes turbocharged.
Using a modular construction kit of tailor-made cell systems, the researchers hope to simulate various properties of biological systems in the future. The idea is that cells react to their environment and learn to act independently.
The first applications are already on the horizon: In the long term, artificial cell assemblies can be deployed as mini-factories to produce specific biomolecules, or as tiny micro-robot sensors that process information and adapt to their environments.
“Hear from leaders across science, academia, and business as they share the latest research and scientific advancements, industry innovation, and their perspective on how these domains will evolve,” Amazon’s re: Mars site says. Speakers from Amazon, MIT, UC Berkeley, NASA and Harvard are on the docket.
Amazon announces a new re: Mars conference that will gather experts in machine learning, robotics, automation and space in Las Vegas.
I wonder how many people it will feed.
80 Acres Farms, an Ohio-based vertical farming startup, has raised private equity funding from Virgo Investment Group, a private equity firm from San Francisco for the construction of what it says will be the first fully automated indoor farm.
AgFudnerNews can reveal that the deal was worth more than $40 million in equity capital, according to sources close to the deal.
The funding will go towards the completion of 80 Acres’ Hamilton, Ohio facility, which was announced last year and is set to be partially operational in the next few months.
‘’Computational rationality leads to a deeper understanding because it goes beyond descriptions of how we fail. Instead, it shows us how the brain marshals its resources to solve problems. One benefit of this approach is the ability to test theories of what our abilities and constraints are.
Decades of psychological research suggests humans are rather irrational. But a new approach, borrowing an idea from artificial intelligence, challenges this notion.
Graeme Ross: “Once again the over-riding need to measure the immeasurable raises it‘s ugly head. Statistics are proof of ignorance. Numbers are not knowledge. It has been mooted that we are a mental construct that incorporates multiple persona in our subconscious and semi-conscious mind. Find the theory for yourself. I wont quote what you can find yourselves. If we are a construct, ever-changing, ever-evolving in complexity and moment-to-moment inner focus, and if, as it has been mooted, we have constant and endless conversation with these ever-changing inner mental persona, then it follows that without capturing that process in mid-flight (as it were) we can‘t deduce the reasoning that results from these conversations. Therefore we are not able to quantify these processes in any way at all. It is ephemeral. Thought takes place in the interval between knowing and asking. Trying to build a machine that will think would take far more resources than mankind will ever possess.”
Abstract: This paper outlines the Independent Core Observer Model (ICOM) Theory of Consciousness defined as a computational model of consciousness that is objectively measurable and an abstraction produced by a mathematical model where the subjective experience of the system is only subjective from the point of view of the abstracted logical core or conscious part of the system where it is modeled in the core of the system objectively. Given the lack of agreed-upon definitions around consciousness theory, this paper sets precise definitions designed to act as a foundation or baseline for additional theoretical and real-world research in ICOM based AGI (Artificial General Intelligence) systems that can have qualia measured objectively.
Published via Conference/Review Board: ICIST 2018 – International Conference on Information Science and Technology – China – April 20-22nd. (IEEE conference) [release pending] and https://www.itm-conferences.org/
Introduction The Independent Core Observer Model Theory of Consciousness is partially built on the Computational Theory of Mind (Rescorla 2016) where one of the core issues with research into artificial general intelligence (AGI) is the absence of objective measurements and data as they are ambiguous given the lack of agreed-upon objective measures of consciousness (Seth 2007). To continue serious work in the field we need to be able to measure consciousness in a consistent way that is not presupposing different theories of the nature of consciousness (Dienes and Seth 2012) and further not dependent on various ways of measuring biological systems (Dienes and Seth 2010) but focused on the elements of a conscious mind in the abstract. With the more nebulous Computational Theory of Mind, research into the human brain does show some underlying evidence.
