Infosys Ltd's embrace of automation and artificial intelligence technologies to boost employee productivity is taking longer than expected. India's second-largest software services exporter now expects the related productivity boost to reflect in a meaningful way only from April 2017. Chief executive officer Vishal Sikka had told Mint last October that he expected any "meaningful" impact to start reflecting by the end of March 2016. The development underlines the daunting task faced by Sikka, who is trying to put Infosys back on the global software services map and help the firm retain the bellwether tag in India's 146 billion outsourcing sector. Understandably, the theme of large-scale adoption of automation at the employer of more than 194,000 people was central to the US-based Sikka's five review meetings (including one with company's human resources head Kris Shankar) on his day-long trip to Bengaluru last Saturday.

This self-driving race car runs on NVIDIA's Pascal-based Tegra processors. Graphics processor specialist NVIDIA (NASDAQ:NVDA) reported results on Thursday night, covering the first quarter of fiscal year 2017. In after-market trading, investors reacted to the report with an instant share-price boost of more than 7%. Sales exceeded the top-end of management's guidance for the quarter. GAAP earnings were expected to stop at roughly 190 million.

WASHINGTON – U.S. special operations forces working with African partners called in an airstrike against the al-Qaida-linked al-Shabaab group in Somalia on Thursday, killing five, the Pentagon said. Jeff Davis said U.S. troops were advising and assisting Ugandan troops from the African Union Mission to Somalia (AMISOM) in southern Somalia, west of Mogadishu. The AMISOM troops were raiding an illegal Shabaab roadblock where the jihadis were extorting payments from drivers. "They came under fire from the al-Shabaab militants, and we called in an airstrike in their defense," Davis said. A U.S. defense official said the strike was conducted by drone.

It has been claimed they were the earliest example of stone age art ever seen in Germany, showing a man, a woman and a phallus. The find at the 75m long Mäanderhöhle cave in Bavaria was hailed as a major breakthrough, with hundreds of lines found to form patterns believed to be fertility symbols. An archaeologist studied these lines several years later and published his interpretation of them in a preliminary report, in which he said that the between 14,000 and 16,000 year-old lines were made by humans and probably depicted a phallus and abstract female figures. The find at the 75m long Mäanderhöhle cave in Bavaria was hailed as a major breakthrough, with hundreds of lines found to form patterns believed to be fertility symbols. Here, a 3D scan shows the strange lines which experts now say were formed by'natural processes'.

Humans are continuously emitting chemicals into the air – whether by breath or through the skin. Now, researchers have discovered the chemicals found in exhaled breath actually correspond to human emotions, especially while watching certain genres of films. By measuring chemical signatures, they could determine a person's reaction to specific films on a scene-by-scene basis and the type of scene playing – with comedy and suspense eliciting a particularly pungent response. Researchers have discovered that the chemicals found in exhaled breath actually correspond to human emotion. By measuring the chemical components, they could determined a person's reaction to movies on a scene-by-scene basis and types of scene playing– particularly suspenseful or funny ones The team conducted a large scale study involving more than 9,500 moviegoers who watched 108 screenings of 16 different films in two separate theaters at the Cinestar Cinema in Mainz, Germany.

The last two posts on Kafka Streams (Kafka Processor API, KStreams DSL) introduced kafka streams and described how to get started using the API. This post will demonstrate a use case that prior to the development of kafka streams, would have required using a separate cluster running another framework. We are going to take live a stream of data from twitter and perform language analysis to identify tweets in English, French and Spanish. The library we are going to do this with is LingPipe. LingPipe is tool kit for processing text using computational linguistics.

Mumbai: Gurgaon-based employability assessment company Aspiring Minds is perhaps best known for giving the industry a very dim view of the quality of engineers in India. According to its 20 January report, "more than 80% of engineers in India continue to be unemployable". Aspiring Minds, however, does much more than just track the employability of engineers in the country. In the words of its co-founder and chief technology officer (CTO) Varun Aggarwal, Aspiring Minds is "interested in the big picture". "We ask questions like, 'How do we identify what jobs people in the job market will be successful at?'; 'How do we make this assessment, or automatically assess programming skills?'; 'Or, for that matter, gauge how well a candidate speaks English?'"

As much as we love to fawn over artificial intelligence (AI), it's still not great at recognizing and parsing natural language. That's why Google is open sourcing its new language parsing model for English, which it calls'Parsey McParseface.' Before you even ask, the name has no meaning. When Google was trying to figure out what to call its language parsing technology, someone suggested Parsey McParseface; it's a bit like Apple's Liam, which has no clever backstory either. The overall AI model model is called SyntaxNet (please make your SkyNet jokes now); 'ol Parsey is just for English. Our biggest ever edition of TNW Conference is fast approaching!

Merriam-Webster dictionary defines a trend as a "current movement in a particular direction," however, VLAB keynote speaker and Venture Capitalist Ann Winblad likes to say "wave" instead. The companies her firm Hummer Winblad Venture Partners (HWVP) invests in are typically riding enterprise software waves. "Waves form far out into the ocean and can go very deep," said Winblad comparing nature's waves to what's happening in the software industry. Big data is a term for data sets that are so large and complex that traditional data processing applications are inadequate to handle them. An example of a company riding this wave is MuleSoft, an HWVP investment. They make it easy to connect applications, data and devices.

About a year and a half ago, I announced in a firm-wide meeting that the future of law must incorporate some form of artificial intelligence, allowing for quicker and certainly more accurate research for clients. I had started developing the project six months prior. That morning was my big revelation. I remember bounding into work so excited to share the news to the forty-plus Rose Law Group team members. I enthusiastically announced that we were in the process of developing a robot lawyer, who would make our research about 100 times quicker than a human, with a less than 1 percent chance of being in any way inaccurate.