Harold Thomas Martin may have stolen NSA classified data five months after Edward Snowden left his contractor position with the same firm. What happened during 2013 will come out as the prosecution moves forward and the data is exposed online. Many articles cover the known details to date, however, what about the future? Whether its stolen emails or classified data, the compromise and misuse of identity is at the core of modern attacks. While zero-day exploits provide access they are rare, expensive, and once exposed, they commoditize quickly.

As algorithms become entrenched into society, the debate about their effects rages on. In essence, algorithms are sequences of instructions used to solve problems and perform functions in computer programming. As mathematical expressions, algorithms existed long before modern computers. While they vary in application, all algorithms have three things in common: clearly-defined beginning and ending points, discrete sets of "steps," and design meant to address a specific type of problem. On the one hand, algorithms play the role of prime suspect -- responsible for the recent UK pound's Brexit-induced flash crash, used for political and informational manipulation on social networks, and part of what Harvard Professor Shoshanna Zuboff calls "surveillance capitalism".

Explaining the difference between disruption and innovation can be tricky. Both disruption and innovation happen when something new is introduced to the market. However, disruption tends to be more violent, radically altering how we think and behave. On the other hand, innovation can be more iterative and incremental in nature. According to Clayton Christensen of Harvard Business School, "disruption displaces an existing market, industry, or technology and produces something new and more efficient and worthwhile. It is at once destructive and creative."

With the development of the big three technologies--Internet of Things (IoT), the cloud and big data--too much information is a reality today. Working with this information to identify or predict a problem and to decide on a solution can be very difficult, but machine learning will help. Machine learning and artificial intelligence (AI) are developing along with the big three technologies, and machine learning is likely to be a big hit on the factory floor. It will help end users, machine builders and integrators to solve problems from the enterprise level down to the machine and process levels. The IoT solutions are great at getting connected and producing data, but without machine learning or other automated learning techniques, these solutions are limited as the huge amount of data drowns its effective use.

So many works of film and fiction are hooked on the rise of artificial intelligence (AI) and what it might mean for humanity. They are often apocalyptic tales – Blade Runner, Alien, Terminator – where mankind comes off badly. But now that AI is being spearheaded by internet giants such as Google, Microsoft and Amazon, and our daily lives are increasingly affected by AI systems – chat bots, purchase prediction, news generation – what will really happen? In 2015 the UK media widely picked up on American media organisation NPR's calculator that could predict which jobs are susceptible to computerisation. The calculator, using research by the University of Oxford, said accountants have a 95% chance of losing their jobs as machines take over the number crunching and data analysis.

CAMBRIDGE, United Kingdom: Professor Stephen Hawking on Oct 19 opened a new artificial intelligence research centre at Britain's Cambridge University. Funded by a 10mil (RM51.32mil) Opening the new centre, Hawking said it was not possible to predict what might be achieved with AI. "Perhaps with the tools of this new technological revolution, we will be able to undo some of the damage done to the natural world by the last one – industrialisation. "And surely we will aim to finally eradicate disease and poverty. Every aspect of our lives will be transformed.

They will also gain a chance to explore new dimensions of next-gen technologies like Cloud, Cognitive, Analytics, IoT and Mobility, IAN said in a statement here. "IAN and its portfolio companies has been associated with IBM in the past and this partnership has helped nurture high growth startups. We believe this synergistic partnership will breed innovative technologies and grow global footprint companies from India," said Padmaja Ruparel, Co-founder, president IAN. IAN and IBM will work on various joint initiatives, to further technology innovation and offer mentorship and funding support to early stage startups, that will enhance their ability to scale business both in terms of technology and newer business engagements, it added. "IBM will engage, influence and mentor the early stage startup ecosystem and additionally nurture an IP led startup ecosystem focused on IOT, Artificial Intelligence, Security, Commerce etc and influence by design thinking," said Nipun Mehrotra, Vice President, Growth Initiatives, IBM India/ South Asia.

Tesla Motors' cars will come fitted with full self-driving hardware, as the company jousts with tech rivals like Google and car makers like Ford who are making a dash for the autonomous car market. Model S and Model X cars with the inbuilt hardware are already in production and customers can buy one, Tesla said Wednesday. But the features possible with the new hardware will be enabled only later through over-the-air updates after testing over "millions of miles of real-world driving," Tesla added. The company is evidently not taking chances after deaths in accidents involving Tesla cars in China and Florida raised some questions about the readiness of autonomous technology. In the Florida instance, it was confirmed that Tesla's Autopilot technology for driver-assistance was activated, while in the China incident, Tesla said it does not have sufficient data to establish that the technology was engaged.

Futurewei Technologies Inc. (DBA Huawei R&D) is a leading global information and communications technology solutions provider. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population. Futurewei has over 150,000 employees, approximately 70,000 of which are engaged in Research & development.

Submission: December 12, 2016 Notification: December 21, 2016 Camera ready: January 9, 2017 Workshop: February 21, 2017 Website: http://www.cs.put.poznan.pl/maltesque/ The aim of the workshop is to provide a forum for researchers and practitioners to present and discuss new ideas, trends and results concerning applying ML to software quality evaluation. We expect that the workshop will help in (1) validation of existing and exploring new applications of ML, (2) comparing their efficiency and effectiveness, both among other automated approaches and the human judgement, and (3) adapting ML approaches already used in other areas of science.