Artificial intelligence is not a new concept for the people. Machine learning and robots were infused into our lives years ago but the hype of artificial intelligence today is extraordinary. Whether it is an upcoming AI technology or a new perspective of it's on the society. It is still obscure that what will be the potential impacts of these technologies on different platforms in which organizational implementation of AI is most highlighted. People are still confused on the idea especially when it comes to the recruitment of these machineries.

Splunk Inc. (Nasdaq: SPLK) wants to use its cybersecurity product offerings to help companies automate their threat responses. The data analytics provider has agreed to buy venture capital-backed Phantom Cyber Corp. for $350 million in cash and stock. Phantom, launched in Palo Alto, California in 2014, assists businesses to automate their security threat response tasks that are usually carried out by security personnel. The target previously received venture funding from Kleiner Perkins Caufield & Byers, Foundation Capital, and In-Q-Tel. "Splunk is committed to continuously pushing the limits of technology to help our customers get the answers they need from their data," says Splunk CEO Doug Merritt.

North Korea poses a more considerable cyber-attack threat to the international community than Russia, according to cyber-security firm CrowdStrike. Kim Jong-un's regime has been connected to a number of major hacks in recent years, with its attention primarily focused on neighbour and rival South Korea. Most famously, a hacker collective known as the "Lazarus Group", allegedly backed by Pyongyang, was blamed for the WannaCry ransomware attack last summer, which locked out IT systems across the world, hitting the NHS in the UK and such major international businesses as Russia's Sberbank and carmakers Honda and Renault. Speaking ahead of the launch of the 2018 edition of CrowdStrike's annual threat report, co-founder Dmitri Alperovitch warned that cyber-attacks had grown in intensity and sophistication over the last year. "In 2018, my biggest worry is actually about North Korea. I worry a great deal that they may do a destructive attack, perhaps against our financial sector, in an attempt to deter a potential US strike against either their nuclear facilities or even the regime itself," he told The Guardian.

Former Google chief Eric Schmidt believes AI technology is developing so quickly it may soon turn against its human masters. The billionaire tech leader claims Terminator-like AI movie death scenarios are'one to two decades away' but says we should only'worry about them in a while'. Many AI experts, including Elon Musk, have said we should be wary of a potential AI uprising. Schmidt himself has previously expressed concern about what countries such as Russia and China will do with AI weapons. Terminator-style AI takeovers could be happening within'one to two decades', according to ex-Google CEO Eric Schmidt.

Malware sophistication is increasing as adversaries begin to weaponize cloud services and evade detection through encryption, used as a tool to conceal command-and-control activity. To reduce adversaries' time to operate, security professionals said they will increasingly leverage and spend more on tools that use AI and machine learning, according to the 11th Cisco 2018 Annual Cybersecurity Report (ACR). Findings from the Report show 39% of organizations are reliant on automation, 34% are reliant on machine learning, and 32% are highly reliant on AI in their battle against threats and potential threats. While encryption is meant to enhance security, the expanded volume of encrypted web traffic (50% as of October 2017) -- both legitimate and malicious -- has created more challenges for defenders trying to identify and monitor potential threats. Cisco threat researchers observed more than a threefold increase in encrypted network communication used by inspected malware samples over a 12-month period.

Thailand's Digital Economy Promotion Agency and the World Bank have agreed to jointly undertake activities to promote awareness of the Internet of Things (IoT) in Thailand and drive digital transformation in public and private sectors. The announcement was made during a seminar attended by over 150 representatives from the Thai government, international organisations, businesses, NGOs and the media, for the local launch the recent World Bank report, The Internet of Things: The New Government-to-Business Platform. The report examine the progress made by governments incorporating IoT within their functions – many governments are eager to use IoT to better serve people, despite the obstacles of taking initiatives beyond the pilot stage. Prasanna Lal Das, lead author of the report, said that IoT has significant potential, but it requires systematic, informed work by the government, private sector, and civil society. Opportunities that will be created by the development of the IoT and ways to make the Internet of Things work in Thailand were discussed at the seminar jointly organised by DEPA and the World Bank.

Optimal Transport (OT) is a mathematical gem at the interface between probability, analysis and optimization. The goal of that theory is to define geometric tools that are useful to compare probability distributions. Earlier contributions originated from Monge's work in the 18th century, to be later rediscovered under a different formalism by Tolstoi in the 1920's, Kantorovich, Hitchcock and Koopmans in the 1940's. The problem was solved numerically by Dantzig in 1949 and others in the 1950's within the framework of linear programming, paving the way for major industrial applications in the second half of the 20th century. OT was later rediscovered under a different light by analysts in the 90's, following important work by Brenier and others, as well as in the computer vision/graphics fields under the name of earth mover's distances. Recent years have witnessed yet another revolution in the spread of OT, thanks to the emergence of approximate solvers that can scale to sizes and dimensions that are relevant to data sciences. Thanks to this newfound scalability, OT is being increasingly used to unlock various problems in imaging sciences (such as color or texture processing), computer vision and graphics (for shape manipulation) or machine learning (for regression,classification and density fitting). This short book reviews OT with a bias toward numerical methods and their applications in data sciences, and sheds lights on the theoretical properties of OT that make it particularly useful for some of these applications.

This paper presents a novel formulation and solution of orbit determination over finite time horizons as a learning problem. We present an approach to orbit determination under very broad conditions that are satisfied for n-body problems. These weak conditions allow us to perform orbit determination with noisy and highly non-linear observations such as those presented by range-rate only (Doppler only) observations. We show that domain generalization and distribution regression techniques can learn to estimate orbits of a group of satellites and identify individual satellites especially with prior understanding of correlations between orbits and provide asymptotic convergence conditions. The approach presented requires only visibility and observability of the underlying state from observations and is particularly useful for autonomous spacecraft operations using low-cost ground stations or sensors. We validate the orbit determination approach using observations of two spacecraft (GRIFEX and MCubed-2) along with synthetic datasets of multiple spacecraft deployments and lunar orbits. We also provide a comparison with the standard techniques (EKF) under highly noisy conditions.

The International Space Station (ISS) is getting a new crew member: a disembodied head powered by artificial intelligence. Crew Interactive Mobile Companion (Cimon) is shaped like a medicine ball and weighs around 5kg. Designed by Airbus, it has been created to help astronauts with experiments and routine work, as well as chat to crew members about checklists and mission procedures. According to Airbus, Cimon will be a "genuine colleague" on the ISS and all of this is made possible thanks to an AI brain based on IBM's Watson technology. Cimon will be able to learn from the astronauts working on board the ISS, and adapt to the different tasks it can help with. "Cimon is a personal assistant capable of voice and facial recognition," said project leader Till Eisenberg.

Michelle Obama took an apparent swipe at Donald Trump's social media habits, saying she uses social media "like a grown-up". "How many kids do you know that the first thing that comes off the top of their head is the first thing they should express? It's like, 'Take a minute. Talk to your crew before you put that [out there] and then spell check and check the grammar,'" the former First Lady said during a panel in New York, according to People. While Ms Obama did not mention the President by name, Mr Trump is known for stream-of-consciousness bursts of tweets that periodically contain grammatical and spelling errors.