Will Blockchain Replace EDI? Yes And No

The first version of the GS1 EPCIS standard was drafted in 2007 by GS1 and GS1 US. GS1 is a nonprofit organization that creates and maintains standards for business communications and GS1 US is a member of GS1. The standard enables organizations to create and share visibility event data, both within and across organizations. The standardized data (the payload) was intended to be exchanged as XML files. Little could anyone have foreseen the standard using blockchain as a transmission medium.

To read the full article, please visit:
https://www.forbes.com/sites/forbestechcouncil/2019/04/03/will-blockchain-replace-edi-yes-and-no/#2ccced9847d7 (Accessed on April 5, 2019)

Artificial Intelligence can help in treating brain tumours: Study

The study showed that using a reference database with MRI scans of patients, the algorithms automatically recognised and localised brain tumours using artificial neural networks. 

Artificial Intelligence can help in treating brain tumours  |  Photo Credit: Thinkstock

London: Researchers have developed an artificial intelligence-based (AI) method for analysis of brain tumours, paving the way for individualised treatment of tumours.

According to the study, published in the The Lancet Oncology, AI machine learning methods, carefully trained on standard magnetic resonance imaging (MRI), are more reliable and precise than established radiological methods in the treatment of gliomas. 

Source: 

7 Indicators Of The State-Of-Artificial Intelligence (AI), March 2019

1. AI “Sputnik moment” (say it in Chinese*) is at hand
2. AI continues to be popular among business executives, regardless of complications, concerns and confusion
3. The race against the machine is on. Still, some humans trust AI more than their governments.
4. “AI” is the new “Big Data” and the new “New Economy.” Tech bubbles are defined by poorly-defined terms and the proliferation of billion- and trillion-dollar forecasts leading to investors’ irrational exuberance
5. After years in the (mostly Canadian) wilderness followed by (almost) seven years of plenty, Deep Learning is officially recognized as the dominant AI paradigm
6. AI is not perfect and will never be. Same as the humans using AI.
7. AI is not perfect. Smart and well-endowed people hope it can be improved by establishing research and education centers focusing on “multidisciplinary collaboration and diversity of thought”

To read in-depth about the above points, please visit:

https://www.forbes.com/sites/gilpress/2019/04/03/7-indicators-of-the-state-of-artificial-intelligence-ai-march-2019/#716c1a80435a (Accessed on April 5, 2019)

How to Operationalize Your Machine Learning Projects

Operationalizing those data science, analytics, and machine learning projects is one of the top concerns of IT leaders. But the same tried-and-true best practices you've used for other IT projects can guide you on these new technologies, too.

Everyone knows that to compete in the future, you need to invest in machine learning, artificial intelligence, data, and analytics. But there still can be a big gap between knowing that you need to do it and figuring out how to do it in a way that is meaningful for your business.

Putting these technologies into production systems continues to be a challenge for many enterprises, according to Erick Brethenoux, a research director at Gartner.

To read the full article, visit:

https://www.informationweek.com/big-data/ai-machine-learning/how-to-operationalize-your-machine-learning-projects/d/d-id/1334323 (Accessed on April 5, 2019)

SCIMAGO Top Ranked Institutions

1	Chinese Academy of Sciences	CHN
2	Centre National de la Recherche Scientifique	FRA
3	Harvard University	USA
4	Facebook, Inc.	USA
5	Google Inc.	USA
6	National Institutes of Health	USA
7	Stanford University	USA
8	Microsoft Corp	MUL
9	Massachusetts Institute of Technology	USA
10	Helmholtz Gemeinschaft	DEU

Source: https://www.scimagoir.com/index.php (Accessed on April 4, 2019)

International Children’s Book Day 2019: Indian authors who introduced us to the world of storytelling

We have curated a list of books by Indian authors that both you and your child can enjoy. Revisit the magical world of fun and adventure on International Children's Book Day.

To read the full article, please visit:

https://indianexpress.com/article/lifestyle/books/international-childrens-book-day-2019-5654489/ Accessed on April 3, 2019)

Eye on A.I.— Celebrating the Godfathers of Deep Learning

Bengio (Photo by Maryse Boyce), Hinton (Photo by Keith Penner), LeCun (Photo, courtesy of Facebook)

By JONATHAN VANIAN 

April 2, 2019

Artificial intelligence’s growing importance, in both business and research, is largely because of Yoshua Bengio, Geoffrey Hinton, and Yann LeCun—otherwise known as the “godfathers of deep learning.”

Last week, the trio won the annual Turing Award, the technology world’s equivalent to the Nobel Prize, presented by the Association for Computing Machinery. Their research has led to huge breakthroughs in computers translating languages and identifying objects and people in photographs.

At the heart of the men’s research are neural networks, the software created decades ago to mimic how the human brain learns. The technology plays a huge role in artificial intelligence and its close cousin, deep learning.

The analogy of neural networks being like the human brain is something many A.I. researchers and neuroscientists loathe because it oversimplifies an extremely complicated process. “That’s okay,” Bengio, a University of Montreal computer science professor and co-founder of enterprise startup Element AI,said in an interview with Fortune a day before his Turing Award was publicly announced.

For years, the A.I. community ignored neural networks in favor of other techniques that are more closely related to conventional computer programming. But more advanced computer chips and access to Internet data supercharged the power of neural networks, which could now be fed enormous amounts of information so they could identify patterns and, thereby, learn.

“Because as we train these systems with more data, they just get better,” Bengio said.

He recalled how difficult it was to get funding when he initially studied neural networks. Ultimately, the Canadian government kicked in some money. Today, in contrast, artificial intelligence attracts big money from governments and venture capitalists, with most of the investment in the U.S. coming from businesses. Bengio only hopes that other technologies, especially those currently lacking buzz, also have easy access to cash.

“We need to be careful to nurture that spirit and not try to say, ‘That’s the end of it,'” he said.

LeCun, now Facebook’s chief A.I. scientist, also talked with Fortune about his early research into neural networks. During those experiments, he said he focused more on creating computers that “think” rather than how the technology would be applied in real life. But now LeCun believes big breakthroughs are imminent, mostly from businesses that specialize in areas including medical imaging, self-driving cars, and even garden maintenance (i.e. lawnmowers that know to trim only weeds instead of roses). What’s certain is that companies will use the technology in ways he never envisioned.

Says LeCun, “It’s not like we have a monopoly on good ideas.”

Source: http://fortune.com/2019/04/02/eye-on-ai-godfathers-deep-learning/ (Accessed on April 3, 2019)