) Blockchain MemoryWe let LL be the blockchain mem-ory space, represented as the hastable L:{0,1}256→{0,1}NL:\{0,1\}^{256}\rightarrow \{0, 1\}^{N}, where N≫N \gg 256 and can store sufficiently-large documents. We assume this memory to be tamperproof under the same adversarial model used in Bitcoin and other blockchains. To intuitively explain why such a trusted data-store can be implemented on any blockchain (including Bitcoin), consider the following simplified, albeit inefficient, implementation: A blockchain is a sequence of timestamped transactions, where each transaction includes a variable number of output addresses (each address is a 160-bit number). LL could then be implemented as follows - the first two outputs in a transaction encode the 256-bit memory address pointer, as well as some auxiliary meta-data. The rest of the outputs construct the serialized document. When looking up L[k]L[k], only the most recent transaction is returned, which allows update and delete operations in addition to inserts.

This paper explores how the Internet of Things and blockchain technology can benefit shared economy applications. The focus of this research is understanding how blockchain can be exploited to create decentralised, shared economy applications that allow people to monetise, securely, their things to create more wealth. Shared economy applications such as Airbnb and Uber are well-known applications, but there are many other opportunities to share in the digital economy. With the recent interest in the Internet of Things and blockchain, the opportunity exists to create a myriad of sharing applications, e.g. peer-to-peer automatic payment mechanisms, foreign exchange platforms, digital rights management and cultural heritage to name but a few

We live in an age of paradox. Systems using artificial intelligence match or surpass human level performance in more and more domains, leveraging rapid advances in other technologies and driving soaring stock prices. Yet measured productivity growth has fallen in half over the past decade, and real income has stagnated since the late 1990s for a majority of Americans. Brynjolfsson, Rock, and Syverson describe four potential explanations for this clash of expectations and statistics: false hopes, mismeasurement, redistribution, and implementation lags. While a case can be made for each explanation, the researchers argue that lags are likely to be the biggest reason for paradox. The most impressive capabilities of AI, particularly those based on machine learning, have not yet diffused widely. More importantly, like other general purpose technologies, their full effects won't be realized until waves of complementary innovations are developed and implemented. The adjustment costs, organizational changes and new skills needed for successful AI can be modeled as a kind of intangible capital. A portion of the value of this intangible capital is already reflected in the market value of firms. However, most national statistics will fail to capture the full benefits of the new technologies and some may even have the wrong sign

BrainHQ, is an online brain-training software also developed by Posit Science. It is the only software available in Greek being used to any portable computing device (tablet, smartphone, etc.) as an application either on Android or on IOS provided in different languages. Undoubtedly, improvement of brain performance can bring multiple benefits to everyday life. Both research studies and the testimonials of users themselves show that BrainHQ offers benefits in improving thinking, memory and hearing, attention and vision, improving reaction speed, safer driving, self-confidence, quality discussion and good mood. BrainHQ includes 29 exercises divided into 6 categories: Attention, Speed, Memory, Skills, Intelligence and Navigation.

espite the potential of emerging technologies to assist persons with cognitive disabilities,significant practical impediments remain to be overcome in commercialization, consumerabandonment, and in the design and development of useful products. Barriers also exist in terms of the financial and organizational feasibility of specific envisionedproducts, and their limited potential to reach the consumer market. Innovative engineeringapproaches, effective needs analysis, user-centered design, and rapid evolutionary developmentare essential to ensure that technically feasible products meet the real needs of persons withcognitive disabilities. Efforts must be made by advocates, designers and manufacturers to promote betterintegration of future software and hardware systems so that forthcoming iterations of personalsupport technologies and assisted care systems technologies do not quickly become obsolete.They will need to operate seamlessly across multiple real-world environments in the home,school, community, and workplace