SigmaWay Blog

The Fathom Neural Compute Stick -- the first product of its kind, is a modular deep learning accelerator in the form of a standard USB stick. Featuring a full-fledged Myriad 2 VPU, the Fathom Neural Compute Stick not only enables rapid prototyping, but also delivers high levels of neural network compute to existing devices via a USB port. Thanks to the ultra-low power Myriad 2 VPU, the Fathom Neural Compute Stick does not require an external power supply, and can accelerate neural network performance for a wide range of devices. To know more, follow: http://fossbytes.com/movidius-fathom-brings-ai-stick-supercomputing-usb-drive/

Braina (Brain Artificial) is an intelligent, personal assistant, human language interface and automation software for Windows PC that allows you to interact with your computer using voice commands in English language. Braina makes it possible for you to control your computer using natural language commands. It helps you in doing tasks. You can either type commands or speak to it and it will understand what you want to do. Moreover, using speech recognition built in Braina for Android App you can interact with your computer from anywhere in your house over a WiFi network.
To know more: http://fossbytes.com/braina-free-ai-software-for-your-pc/

Machine learning is a type of Artificial Intelligence that provides a computer with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach them to grow and change when exposed to new data. Artificial Intelligence is supposed to be the core of Big Data, producing exponential growth in the volume of data used for scientific research. Out of all two most popular machine learning techniques are, supervised and unsupervised learning. Nowadays, learning algorithms such as Bayesian networks and support vector machines is being used more extensively in daily commercial systems. To learn more read at: http://www.dataversity.net/machine-learning-now/

According to Nasscom (National Association of Software and Services Companies) the expected rise in the Indian business analytics sector is 8-fold (from $2 billion to about $16 billion). It targets to make India among the top three big data analytics market in the world. To achieve this target Nasscom is partnering with its members to build a multi prolonged approach that encompasses skill development, thought leadership, products and platforms. India is an emerging hub for analytics solutions across the globe. The witnessed rapid growth is due to increased demand for cloud based and predictive analysis solutions by industries like BFSI, retail, telecom and healthcare. Even the requirement of manpower in this sector would increase magnificently in the next 5 years.

It is the rapid advancement of artificial intelligence and deep learning algorithms which enabled the development of machines which can do tasks that requires deep expertise and skills. Read more at: http://economictimes.indiatimes.com/tech/ites/big-data-analytics-to-reach-16-billion-industry-by-2025-nasscom/articleshow/52885509.cms

The future of AI is filled with amazing opportunities. Alan Turing designed the Turing machine about a century ago. It is expected that in the coming times the machines will pass the Turing test. To add to the surprise, the AI machines are being expected to use all the five human senses. Governments, the world over are planning to make simulation models which make use of big data as input to predict the criminal or terrorist activities. AI has been improving human lives by uplifting the healthcare and medical facilities. To make the computer - human interaction more natural, scientists are working on the Natural Language Processing Algorithms. Read more about it at: http://nerdsmagazine.com/artificial-intelligence-five-highly-anticipated-developments/

The motive of capital good policy is noble, but not its implementation. The policy fails to address the basic problem of lack of research to improve manufacturing units. Thus the policy fails to expand the share of manufacturing in GDP. As India is rapidly globalizing, it needs to improve its manufacturing process using better machinery, newer intelligence and better quality raw materials. Automated assembly lines and lean production techniques must be put in use. Similarly, artificial intelligence and bid-data analytics will help the Indian companies improve their productivity and increase profits. India should gear up for advanced manufacturing in areas such as aircraft manufacture, materials, microelectronics and telecommunications. Most importantly, India needs to develop a knowledge ecosystem that includes a good intellectual property regime to foster innovation and creativity. Read more at: http://blogs.economictimes.indiatimes.com/et-editorials/capital-goods-policy-contains-little-meat/

Creators of Siri (the most popular A.I tool that serves as a personal assistant which can answer your questions, write your mails and plan your schedule), presented its sibling Viv. The creators claim that Viv will be a complete game changer in the field of artificial intelligence. But it has a long journey to cover. It must be integrated with smart phones and other smart devices. Read the complete article here: http://www.computerworld.in/news/new-siri-sibling-viv-may-be-next-step-ai-evolution

Our world is somewhat running on artificial intelligence. Siri, Facebook, computer stocks, self-driving cars or what not. But there is one field where AI is really lacking and that is education. The most      challenging task will be: Virtual mentors for every learner; Addressing 21 century skills; Analysis of interaction data; Provide opportunities for global classrooms; Lifelong and like wide technologies. Technologies like Intelligent Tutor Systems, content delivery support systems are what required. Read the full article here: http://www.forbes.com/sites/barbarakurshan/2016/03/10/the-future-of-artificial-intelligence-in-education/#6315deb21e64

Artificial Intelligence or AI is the science to make machines as smart as humans. When a machine can think and behaves like human we call it an intelligent machine. It's been trending a lot from past couple of years. We have seen robots, intelligent chess games where champions got defeated by machines. But what does future hold for Artificial Intelligence?  Experts claim that AI will soon be coming with technologies in healthcare, automation, finance that will change the way technologies are used now. Machines with power to take thousands of complicated decisions in nanoseconds will revolutionize the industry. Read more at: http://www.cio.com/article/3025161/robotics/what-does-the-future-hold-for-artificial-intelligence.html

Artificial intelligence is the most powerful tool. It can be used in any industry.  A smartphone can act as a personal tutor i.e. artificial intelligence can not only be used to teach, but also get to understand learning style, strengths, and weaknesses. In the healthcare industry, AI helps a doctor or nurse to chat with the patients and recognize the symptoms at the tap of a button on your smartphone. In transportation system, AI is used to understand their customer's need and provide better service. As a whole AI is the next stage of human excellence.

To read, follow: http://www.businessinsider.in/The-cofounder-of-Uber-told-us-how-artificial-intelligence-could-revolutionize-the-world/articleshow/51434466.cms

 Lee Sedol, The champion Go player, ranked 5th in the world, has beaten Google's AlphaGo artificial intelligence program in their fourth of five matches in Seoul, South Korea. AlphaGo is an ultra-complex abstract strategy game. This particular game requires a high level of human intuitions & higher perceptions and is slightly more difficult than chess. At the match when AlphaGo made a mistake, there was a question mark on its quick response ability.

Read more at: http://www.forbes.com/sites/parmyolson/2016/03/14/human-go-champion-beats-google-alphago-ai-fourth-match/#655b1699292e 

Artificial intelligence is like machine learning. But they are completely different and some concepts related to it has to be cleared.

1. Artificial intelligence refers to a broad set of methods, algorithms and technologies that makes the software 'smart' that seem human-like to an outside observer.

2. Machine learning has some elementary engineering sensibility whereas artificial intelligence is more correlated to automation and sophisticated data handling.

3. Machine learning covers multiple technology, whereas AI is a process which only refers wide variety of algorithms and methodologies that enable software improvement.

4. Machine learning is more into deeper analysis, segmentation and networking in contrast to standalone operation of artificial intelligence

5. Cognitive understanding is more prominent in artificial intelligence because analytics and forecasting play a clinical role. So, accuracy in automation required cognitive learning.

To read, follow: www.cio.com/article/3040600/five-things-you-need-to-know-about-ai-cognitive-and-neural-and-deep-oh-my.html

Artificial intelligence opened a new horizon to give reply to E-mail instantly. Reading long emails in a busy life is a tough. So an automated answering system can reply a mail by analyzing the tone of a particular mail. A particular word based sentiment analysis can be a useful tool to facilitate this process. Google has already started to offer 'robot email' AI in its Google Inbox online extension for Gmail. The new service is called the Smart Reply and it will help answer some of your emails for you. There are still some constraints. This automated system has some issues regarding long multi sentimental messages. These messages has to be replied manually. 

To read, follow: http://www.forbes.com/sites/adrianbridgwater/2016/02/18/can-artificial-intelligence-answer-our-email/#4e1fd3197bc2

Google has developed a new artificial intelligence system which can recognize the geo-location of a picture. It can also identify a particular monument and area by using sophisticated mapping techniques. This will not only improve an intelligent image search, but also provide a more accurate mapping facility. The system doesn’t exactly spit out GPS coordinates. Instead the team divided the globe into about 26,000 squares of differing sizes based on how many photos from the data set were taken in the area. Huge image search and detailed mapping system is space consuming and particularly troublesome for smaller devices like smartphones and tabs which have space constraints. In order to minimize these issues they are trying to compress huge data within 377mb only.

To know more, follow: http://www.forbes.com/sites/ericmack/2016/02/25/this-google-a-i-can-figure-out-where-that-photo-was-taken/#1bff3c4e34f7

It seems that the long winter of AI has come to an end and this field is enjoying the unstoppable progress in the spring stage. But the only way AI becomes more powerful is by getting fed with a tremendous amount of data. More the data, better the efficiency of the AI algorithms. Seeing the helpful uses of such AI based applications the users happily allow the access to any kind of data. In the coming times, there will be applications which would demand access to every kind of data you generate. And the truth is we will willingly submit our data. Because bigger the data sets are, smarter the AI. The major reason for feeding the AI algorithms is that is improving and helping the human life. Read more about it in the article written by Mike Elgan (author of  technology and tech culture) at: http://www.computerworld.com/article/3035595/emerging-technology/artificial-intelligence-needs-your-data-all-of-it.html

To get the raw data, processed through the Artificial Intelligence models, the data has to be uploaded on a cloud. But there are privacy issues or time wastage in uploading data on cloud and retrieving back. Internet connection is a must. So to eradicate these problems, researchers have developed a chip that could bring AI to the hardware like smart phones, sensors or other mobile devices. These have very large neural networks, which can process data then and there. This means without having access to Wi-Fi or other connections, users can get meaningful insights rather than just the raw collected data. This technology will be of great help in the field of Internet of Things. To know more, follow: http://electronicdesign.com/iot/artificial-intelligence-gets-its-head-out-cloud

Artificial Intelligence is used to generate intelligent behaviors in gaming, to simulate the human behavior. But to make the experience more natural it is required that the artificial intelligence based players in the game must imitate the human behavior. That means they also must be prone to errors and mistakes. This is the real challenge in gaming for AI. AI models remember the patterns, so this avoids repetition of mistakes. Humans can lie very easily at every step. This is a complex phenomenon for the AI models. So this is what computer engineers are working on to make games with AI appear more natural. Read more at: https://www.newscientist.com/article/2078134-cleverness-isnt-everything-for-a-gaming-artificial-intelligence/

The intelligence exhibited by machines is called artificial intelligence (AI). To a layman this field is full of mystery. But AI is embedded is many things that often go unnoticed. Organizations are using AI to make the consumer experience better. So, you are no longer cluttered with irrelevant ads. The recommendations on the social media platforms are the result of machine learning and artificial intelligence models. There are smart entertainment apps that learn from your behavior and choose what is best suited for you. To read more follow:   http://insidebigdata.com/2016/02/12/why-consumers-need-to-stop-fearing-artificial-intelligence/

Every human being is interested to know their chances of getting sick in the future. This is where artificial intelligence scientists steps in. With the combination of machine learning, natural language processing and text analytics scientists are working to find out some latest concepts and technologies in biomedicine. Each term is then given a score, which, based on the technology's analysis, identified its predicted rate of incline. So based on that, few predictions have been made for 2016.  To know more, follow: http://www.science20.com/news_articles/ai_may_tell_us_whats_going_to_be_big_in_science_this_year-165373

The term "Artificial intelligence" (AI) was first introduced by the John McCarthy for the study of intelligence which is carried out using a computer. AI is becoming reality and both fear and faith are also increasing day by day. Even many movies like the terminator, ROBOT, RA-One are based on AI and machine taking control. Similarly, the world famous physicist Stephen Hawking shows his fear on the growth of AI and IoT by saying that the full development of AI could "spell the end of the human race". It is expected that by 2020, about 80% of adults will own a smartphone. It is also changing the way people relate to one another and their surroundings. There are apps for most of things that you can think of, like fitness apps, cooking apps and much more. Today AI and IoT are allowing people to do more things on their phones and off them too. Read more at: http://www.notchcommunications.co.uk/blog/2015/03/the-dawn-of-artificial-intelligence-and-the-internet-of-things