More than three million students across California traded in pencils for computers to take their standardized tests last school year. You might have read about the statewide results of the California Assessment of Student Performance and Progress: More than half of the state's public school students in grades 3 to 8 and 11th grade failed to meet benchmarks for college readiness. The test is new and considered harder than previous ones -- and scores did increase from 2015, the first year scores were reported. But they remained low -- and certain groups, such as black students, lagged behind. Some schools and districts performed very well.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

A small and extremely powerful Artificial Intelligent Dynamic Scheduling System needs to schedule like a human by using the same required types and complexity as a human. This engine schedules movable components and items where a component or item can change location over time. A trainer trains the engine using specific scheduling tasks and scheduling requirements. After the engine is trained the engine identifies each component and item to schedule. Training provides the engine with the knowledge needed to properly schedule.

Immersive uses text analytics via machine learning to uncover new insights from unstructured data and has developed a'sentiment index' which allows companies to discern how happy or unhappy customers are based on the content of their emails. Immersive worked with the Victorian Department of Justice to secure text information and allow 10,000 workers in Victoria to find information quickly across multiple systems using text search and indexing technologies. Traditionally an IT department would start with the business requirements, find the data and build an application. "For the last 30 years it was all about converged systems, centralised systems, bringing data in and normalising data… That centralisation or converging of systems was enabling some cost savings and some good analytics," Gnau said.

Organisations are beginning to'listen' to unstructured data found in texts which was previously deemed boring or irrelevant to provide insights, says Evan Harridge, founder of Immersive. Immersive uses text analytics via machine learning to uncover new insights from unstructured data and has developed a'sentiment index' which allows companies to discern how happy or unhappy customers are based on the content of their emails. "In a lot of cases we are looking at opportunities that don't exist, because we can now store and analyse all of this information which was just seen as useless or not valuable," Harridge told Which-50 during The Hadoop Summit in Melbourne last week. "Customers are starting to realise all the conversations and all the email communications we have potentially generate value. Rather than just the summarised information or the headings or the information inside the cost table, we take everything and use it as context."

Researchers at the Massachusetts Institute of Technology (MIT) have published the first database of annotated English sentences written by non-native English speakers to help train natural language processing systems. English is the most-used language on the Internet, but the majority of people who use English online are non-native speakers, which can make it difficult for language processing algorithms to analyze large amounts of text with the imperfect grammatical quirks non-native speakers often exhibit. The database consists of 5,124 English sentences written by native speakers of 10 different languages, all of which contain at least one grammatical error, along with annotation about the parts of speech used and the relationship between different words, and a corrected version of each sentence for comparison.

NEW YORK: Tech giant Microsoft and large equipment manufacturer Liebherr are collaborating on a new generation of smart refrigerators that would help in shopping and planning meals with intelligent food management. "As part of the Liebherr household appliances division's digital initiative, the duo would develop'SmartDeviceBox' -- a communication module which fits into refrigerators and freezers -- connecting them to the internet," T.J Hazen, Principal Data Scientist Manager at Microsoft, wrote. The system, which would utilise the same machine learning technology used in Microsoft's artificial intelligence (AI) assistant Cortana, is designed to have a long lifecycle. Microsoft gets big support in its fight for digital privacy with US Technology, media, pharmaceutical and other companies, along with major corporate lobbying groups, filed legal briefs on Friday in support of a Microsoft Corp lawsuit that aims to strike down a law preventing companies from telling customers the government is seeking their data. With this technology, modular units can be integrated and upgraded at any time in existing SmartDevice-ready appliances to create value and comfort for customers through new digital features and solutions, the post on Microsoft blog said.

Intel (NASDAQ:INTC) told technology developers few days ago that the company is planning to bring to the market a new version of its Xeon Phi processor (code named Knights Mill) next year with special features supporting artificial intelligence ("AI"). The ultimate goal of scientists with AI is making the computer to mimic human brain. Since the basic advantage of a human brain over a computer is that the human brain can perform extensive parallel processing, primary requirement for running AI workloads is massive amount of parallel processing. The question is can the Xeon Phi of future offer this kind of parallel processing? According to a recent research conducted by researchers at the University of Massachusetts Dartmouth, modern budget GPUs are capable of offering similar application boosts compared to high-end GPUs in HPC (high performance computing) despite having lower floating point precision capabilities.

Mark Palmer is senior vice president and general manager of engineering at TIBCO. Much has been made about the business implications of recent, rapid advancements in cognitive computing -- that is, the possibility of advanced analytics tools to help human knowledge workers glean actionable insight from vast and deep lakes of historical, transactional and machine-generated information. When utilized well, cognitive tools help humans identify patterns and surface previously undetected cyberattack patterns on your company, customer buying behavior or predictive signals of catastrophic equipment failure based on readings from sensor-enabled devices. But as your business inevitably becomes more algorithmic, you're faced with the next problem: Many algorithms, once discovered, have a remarkably short shelf-life. Algorithmic excellence in analytics requires more than just great math; you must also become as agile at killing off weak or vanquished algorithms as a NASCAR pit crew changing worn tires -- you need to be replacing them with promising new ones.

The growth of the digital economy has brought about different waves of technology, with the next one being a wave of connectivity. Computing has moved from the traditional desktop models to series of networks known as the Internet of Things (IOT). What this shift in paradigm means for us is that many of the objects that surrounds us will be on a network in one form or another. This recent development has doubled the research on sensor network technologies and advancement in Radio Frequency Identification (RFID), to enable the invisible connection of information and communications systems. Driven by the prevalence and proliferation of smart devices enabled by open wireless technologies such as Wi-Fi, Bluetooth, and RFID, the IOT is an evolution of the internet as we know it, into a network of interconnected equipment, objects and systems.