The basic goal of every eCommerce company is to bring the best of offline shopping experience to the online space, by offering the consumers a seamless way to discover the products they are looking for. The avenue is taking a big leap towards becoming the facilitator of a more efficient, personalized, even automated customer journey with the introduction of cognitive technologies and the employment of'smart data'. Today, the most important area of focus in eCommerce is hyper personalization which could be facilitated only by learning consumer behaviour and making predictive analyses with the help of the huge amount of data collected from user activities on smartphones, tablets and desktops, and intelligent algorithms to process them. Machine learning and artificial intelligence are no more restricted to personal assistance technology, smartphone companies are creating. They have flouted these conventions to disrupt a much wider space with limitless possibilities. One of the areas radically transformed by AI is eCommerce.

This week, a relatively young cybersecurity company called Darktrace announced that it has raised an additional 65 million ( 50 million) at a suspected valuation of over 400 million ( 308 million). No other UK tech startup has announced a funding round anywhere near that size since the UK voted for Brexit. We caught up with Mike Lynch -- the billionaire founder of enterprise software firm Autonomy and Darktrace's first big name investor -- to find out why he decided to put his money into the company. "The reason I liked it was that it was a completely new approach," said Lynch during a phone call with Business Insider on Wednesday. "Most of what's out there in cybersecurity is based on knowing what you're looking. So things like anti-virus and that sort of stuff or trying to build a big wall around the outside of your company, a boundary. "The problem is that the world's moved on and the attacks no longer have signatures.

IN FROM three to eight years, we will have a machine with the general intelligence of an average human being. I mean a machine that will be able to read Shakespeare, grease a car, play office politics, tell a joke, have a fight. At that point the machine will begin to educate itself with fantastic speed. In a few months it will be at genius level, and a few months after that, its powers will be incalculable. Such rumours of superhuman artificial intelligence have been doing the rounds lately, but this prediction doesn't come from AI oracles du jour Nick Bostrom or Elon Musk (New Scientist, 25 June, p 18). It was made in 1970 by the man widely considered to be the "father of artificial intelligence" – Marvin Minsky.

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with "an ancient wish to forge the gods." In the 1940s and 50s, a handful of scientists from a variety of fields (mathematics, psychology, engineering, economics and political science) began to discuss the possibility of creating an artificial brain. The field of artificial intelligence research was founded as an academic discipline in 1956. In 1950 Alan Turing published a landmark paper in which he speculated about the possibility of creating machines that think. He noted that "thinking" is difficult to define and devised his famous Turing Test.

The release continues, "How it works: (1) Powered by human language: Inbenta chatbots apply Natural Language Processing (NLP) and artificial intelligence to a computer interface. With Inbenta's unique NLP, customers find the right FAQ even when they type totally different keywords -- for example'Can I bring my Doberman' would match a FAQ that states'Can I carry on my pet?' A conversational response requires no additional training, metadata or manual input.

At the strategy conference of Baidu cloud computing on Wednesday, Baidu launched three intelligent cloud platforms. They will integrate with pre-existing cloud services for its open cloud platforms to help enterprises increase working efficiency. Baidu founder and CEO Robin Li said that Baidu has been a de facto search engine company from the very beginning, but that the company was bound to move into cloud technology, as efficient web searching is made possible via the cloud. Li said that Baidu used to consider cloud computing as too simple a technology and would rather focus on building its web search engine, but then some recent changes happened: On the one hand, the days are gone when economic development is accelerated by a cheap labor force, and companies today must survive using technological innovations and higher efficiency. On the other hand, cloud technology has been making breakthroughs, and it is no longer merely about storage and computing.

AI implementations today are made possible by increased processing power, low cost storage, the ramp-up of cloud computing, mobility, and advanced algorithms to program cognitive theories. Technology companies have already started offering AI platform as a solution or as a service and the cost and expertise needed to make use of these AI platforms is coming down. IT companies aspiring for a piece of the AI market can collaborate in areas of development with cloud service providers, mobile application developers, IT infrastructure service providers and analytics engine providers. AI applications and platforms need microprocessors to execute complex tasks at speed, cloud computing for low cost processing, data storage of massive volumes of unstructured data and smarter analytics engines with Natural Language Processing (NLP), voice and pattern recognition, machine learning, and mobility for wide spread use from remote locations.

Artificial Intelligence has been heralded as a game changer in the drive toward the intelligent enterprise. While AI and machine learning has been around for more than five decades, it's today's increasingly interconnected world and the continuing explosion of data that is driving an increase of applications powered by AI. AI promises to deliver exciting opportunities to the IT as well as the business world, and many believe the reality is not far off. According to a recent report by Research and Markets, the AI market is estimated to grow from 419.7 million in 2014 to 5.05 billion by 2020, at a CAGR of 53.65% from 2015 to 2020. Major factors driving growth include diversified application areas of AI, improved productivity, and increased levels of customer satisfaction.

In a recently accepted manuscript titled "Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data", scientists from Insilico Medicine, Inc located at the Emerging Technology Centers at Johns Hopkins University in collaboration with Datalytic Solutions and Mind Research Network presented a novel approach applying deep neural networks (DNNs) to predict pharmacologic properties of many drugs. In this study, scientists trained deep neural networks to predict the therapeutic use of a large number of drugs using gene expression data obtained from high-throughput experiments on human cell lines. Authors used a sophisticated approach of measuring the differential signaling pathway activation score for a large number of pathways to reduce the dimensionality of the data while retaining biological relevance and used these scores to train the deep neural networks. "The world of artificial intelligence is rapidly evolving and affecting every aspect of our daily life. And soon this progress will be felt in the pharmaceutical industry. We set up the Pharma.AI division to help pharmaceutical companies significantly accelerate their R&D and increase the number of approved drugs, but in the process we came up with over 800 strong hypotheses in oncology, cardiovascular, metabolic and CNS space and started basic validation. We are cautious about making strong statements, but if this approach works, it will uberize the pharmaceutical industry and generate unprecedented number of QALY", said Alex Zhavoronkov, PhD, CEO of Insilico Medicine, Inc.

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