Lifeboat Foundation: Safeguarding Humanity
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Category: information science – Page 323

The concept of artificial intelligence got it’s start at a conference at Dartmouth in 1956. Optimism ran high and it was believed that machines would be able to do the work of humans within 20 years. Alas, it was not to be. By the 1970’s, funding dried up and technology entered the period now known as the AI winter.

Slowly, however, progress was made. Computers became increasingly able to do human tasks, such as character recognition, making recommendations on Amazon and organizing itineraries on travel sites. We didn’t see the algorithms at work, but they were there, computing on our behalf.

So the answer to our technological dilemma is, in fact, all too human. While the past favored those who could retain and process information efficiently, the future belongs to those who can imagine a better world and work with others to make it happen.

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A viral video about a new app looks like a dream come true for anyone who struggles with math.

Based on the promo clip, PhotoMath, dubbed a “smart camera calculator,” appears to use smartphone cameras to scan a photo of a math equation in a textbook and display the answer instantly — similar to apps that scan barcodes and takes users to a link in a web browser. It looks like the app can also show step-by-step instructions for solving the problem.

PhotoMath’s parent company MicroBLINK launched the app this week at TechCrunch Disrupt Europe in London, TechCrunch reports. It is available in the App Store on iTunes.

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But the ultimate goals of the project are nothing short of amazing: “The best possible outcome is to map the entirety of existing cache of neural network algorithms and applications to this energy-efficient substrate,” said Modha. “And, to invent entirely new algorithms that were hereto before impossible to imagine.”

IBM scientists are advancing toward “neuromorphic” computing — digital systems that process information like the brain — and launching a complete ecosystem for brain-like computing, with important near-term applications and visionary long-term prospects.

“For decades, computer scientists have been pursuing two elusive goals in parallel: engineering energy-efficient computers modeled on the human brain and designing smart computing systems that learn on their own — like humans do — and are not programmed like today’s computers,” said Dharmendra S. Modha, IBM Fellow and Chief Scientist for brain-inspired computing.

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Quoted: “Traditional law is a form of agreement. It is an agreement among people and their leaders as to how people should behave. There are also legal contracts between individuals. These contracts are a form of private law that applies to the participants. Both types of agreement are enforced by a government’s legal system.”

“Ethereum is both a digital currency and a programming language. But it is the combination of these ingredients that make it special. Since most agreements involve the exchange of economic value, or have economic consequences, we can implement whole categories of public and private law using Ethereum. An agreement involving transfer of value can be precisely defined and automatically enforced with the same script.”

“When viewed from the future, today’s current legal system seems downright primitive. We have law libraries — buildings filled with words that nobody reads and whose meaning is unclear, even to courts who enforce them arbitrarily. Our private contracts amount to vague personal promises and a mere hope they might be honored.

For the first time, Ethereum offers an alternative. A new kind of law.”

Read the article here > http://etherscripter.com/what_is_ethereum.html

Quoted: “IBM’s first report shows that “a low-cost, private-by-design ‘democracy of devices’ will emerge” in order to “enable new digital economies and create new value, while offering consumers and enterprises fundamentally better products and user experiences.” “According to the company, the structure we are using at the moment already needs a reboot and a massive update. IBM believes that the current Internet of Things won’t scale to a network that can handle hundreds of billions of devices. The operative word is ‘change’ and this is where the blockchain will come in handy.”

Read the article here > https://99bitcoins.com/ibm-believes-blockchain-elegant-solut…of-things/

MilanPhotoCollage_md

Hosted by the IEEE Geoscience and Remote Sensing Society, the International Geoscience and Remote Sensing Symposium 2015 (IGARSS 2015) will be held from Sunday July 26th through Friday July 31th, 2015 at the Convention Center in Milan, Italy. This is the same town of the EXPO 2015 exhibition, whose topic is “Feeding the planet: energy for life”.

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