The National Association of Software and Services Companies (NASSCOM), today launched the Centre of Excellence for Data Science and Artificial Intelligence (CoE – DSAI), in Bengaluru, in partnership with the Government of Karnataka. NASSCOM also signed a Memorandum of Understanding (MoU) with Niti Aayog to collaboratively foster applied research, accelerating adoption and ethics, privacy and security. The CoE and MoU aim to strengthen the country's AI ecosystem and serve as a platform serve as a platform for intelligence-sharing and technology collaboration between stakeholders to build collective capabilities for the industry and country in the cutting-edge areas artificial intelligence. In line with the government's National Strategy for AI, NASSCOM will facilitate collaboration between NITI Aayog and CoEs and will include NITI Aayog as a knowledge partner. The CoE-DSAI initiative aims to support SMBs, by fast-tracking their product development, provide market access to enterprises and assist them by co-creating programs along with other industry partners and start-ups to solve complex and real-world business problems.

NASSCOM along with Government of Karnataka today launched the Centre of Excellence for Data Science and Artificial Intelligence (CoE – DSAI) in Bengaluru. Supporting the government's National Strategy for AI, NASSCOM will facilitate collaboration between NITI Aayog and CoEs and will include NITI Aayog as a knowledge partner. Also, leveraging their skilling platform FutureSkills, NASSCOM and Niti Aayog will together accelerate innovation and cultivate skilling in India. The CoE initiative is a nationwide program on innovation focusing on solutions in smart manufacturing, automotive, healthcare, agriculture, energy, IoT, banking & financial services, retail, telecom, and host of emerging technologies. NASSCOM has partnered with Intel and IBM as its founding members and technology advisors for augmenting and accelerating the Data Science & Artificial Intelligence ecosystem in the country.

Sentiment analysis is the automated process of understanding an opinion about a given subject from written or spoken language. In a world where we generate 2.5 quintillion bytes of data every day, sentiment analysis has become a key tool for making sense of that data. This has allowed companies to get key insights and automate all kind of processes. But… How does it work? What are the different approaches? What are its caveats and limitations? How can you use sentiment analysis in your business? Below, you'll find the answers to these questions and everything you need to know about sentiment analysis. No matter if you are an experienced data scientist a coder, a marketer, a product analyst, or if you're just getting started, this comprehensive guide is for you. How Does Sentiment Analysis Work? Sentiment Analysis also known as Opinion Mining is a field within Natural Language Processing (NLP) that builds systems that try to identify and extract opinions within text. Currently, sentiment analysis is a topic of great interest and development since it has many practical applications. Since publicly and privately available information over Internet is constantly growing, a large number of texts expressing opinions are available in review sites, forums, blogs, and social media. With the help of sentiment analysis systems, this unstructured information could be automatically transformed into structured data of public opinions about products, services, brands, politics, or any topic that people can express opinions about. This data can be very useful for commercial applications like marketing analysis, public relations, product reviews, net promoter scoring, product feedback, and customer service. Before going into further details, let's first give a definition of opinion. Text information can be broadly categorized into two main types: facts and opinions. Facts are objective expressions about something. Opinions are usually subjective expressions that describe people's sentiments, appraisals, and feelings toward a subject or topic. In an opinion, the entity the text talks about can be an object, its components, its aspects, its attributes, or its features.

Then … at the intersection of arrogance and ignorance (aka artificial intelligence) they abolished U.S. Immigration and Customs Enforcement flooding the U.S. with a deluge of MS-13, drugs, crime and the world's impoverished. Then … they deluded themselves into taxing America's wealthy and workers alike in a futile attempt to finance the foreign deluge until U.S. citizens, businesses and institutions were bankrupted. Then … the U.S. government collapsed into chaos.

The newly established Center for the Fourth Industrial Revolution in the Japanese capital aims to update old regulations that hinder effective usage of cutting-edge technologies and accelerate social change by developing appropriate policy frameworks for a rapidly changing society, said Chizuru Suga, who heads the institution. "In short, what we are trying to do is like determining the size of a soccer goal before playing the game. We are trying to set up common policy frameworks that help people play a fair game," she said during a recent interview with The Japan Times. "Today's technology has been advancing so fast that no one could have been able to catch up with the most up-to-date movement and set the rules … to benefit as many people as possible," said Suga, originally from the Ministry of Economy, Trade and Industry (METI). The Tokyo facility, which opened Monday, is the first sister institution of the Center for the Fourth Industrial Revolution in San Francisco.

Engineers recently laid off from IBM Watson Health, the division rooted in artificial intelligence, say the company's mission to make AI profitable is failing, according to IEEE Spectrum. IBM cut dozens of Watson Health employees--primarily from its three acquired companies Phytel, Explorys and Truven--at the end of May. The company is severely disorganized, which led to redundancies and internal competition, the former employees said. Now they are speaking out about IBM's issues with its AI. They allege the problems at Phytel stem from IBM's inability to make Watson profitable.

The UK's revenge porn helpline is set to close next month, according to Labour MP Sarah Champion. The helpline, which launched in February 2015, offers support to men and women affected by revenge porn, where explicit images or videos of them have been shared without their consent. Speaking in the House of Commons today, Ms Champion, the Labour MP for Rotherham, asked why the government was cutting funding for the helpline. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

On 5 July 1948, 70 years ago on Thursday, the National Health Service (NHS) was born. We look at seven decades of the development of the NHS, alongside medical advancements, highlighting events that have been documented with archive photography. After the planning of an ambitious project to bring healthcare to everyone in the UK, the NHS was launched by Aneurin Bevan, the Health Secretary of the post-War Labour government. Bevan, seen below in 1945, was the chief architect of the plan to bring together hospitals, doctors, nurses, pharmacists, opticians and dentists under the umbrella of one organisation. The services were available to everyone, financed entirely from taxation with the central principle being that people would pay according to their means.

The drone show was postponed until July 5th, at 9pm, pending weather conditions. SAN FRANCISCO -- A drone light show could be the future Fourth of July entertainment in wildfire-prone northern California -- but not this year. Hundreds of drones, set to wow viewers with a patriotic display of flashing lights in the sky, were grounded Wednesday by windy conditions. Intel's "Shooting Star Drones," which you may have seen at the Winter Olympics, Coachella or Lady Gaga's Super Bowl halftime show in 2017, were set to perform Wednesday at Travis Air Force Base, north of San Francisco, but the show was postponed until July 5th, at 9pm, pending weather conditions. The Travis Air Force Base show plans to use 500 drones and feature a gigantic red, white and blue image of an American flag and California icons, all synchronized to music that will be broadcast for the viewers.

Over the decades, numerous foundational technologies have emerged from U.S. military-funded research: among them, semiconductors, cryptography, the internet, GPS and mobile phones. "They arose out of war -- or the fear of war" that characterized the Cold War era, says Will Carter of the Center for Strategic and International Studies. This shift in the balance of power between AI funding and development means the private sector is leading in an area with "massive national security implications," says Gregory Allen, an adjunct fellow at the Center for a New American Security. The backstory: This dynamic reflects a general lack of government leadership on AI, some experts say. Unlike China, Japan, South Korea, the U.K., France, Canada, and several other countries, the U.S. has not outlined a clear national vision for AI development.