Today a new nonprofit organization called the Partnership on Artificial Intelligence to Benefit People and Society announced its establishment. Participants include Amazon, Google (and Google's DeepMind), Facebook, IBM, and Microsoft. Those companies will put up money and research resources (that could mean talent, open source code, or data). Company representatives will sit on the organization's board alongside people from academia, the nonprofit world, and policy and ethics experts, according to a statement. Plans call for discussions, studies, reports, best practices, and public outreach in general.

Several of the tech sector's biggest names have come together to form an Artificial Intelligence organisation that will explore the ethics and applications of technology that could transform the entire industry. Amazon, Facebook, Google (DeepMind), IBM and Microsoft are founding members of the'Partnership on Artificial Intelligence to Benefit People and Society', or'Partnership on AI' for short, and will invite academics, non-profit organisations, specialists in policy and ethics to join the board. Partnership on AI itself is a non-profit organisation and will conduct and publish research on an open licence in areas such as ethics, transparency, privacy, interoperability, reliability and interaction between humans and AI systems. The ultimate stated aim of the alliance is to increase public awareness of AI, maximise the benefits to society, and address various challenges. It says it is not a lobbying organisation and all members will contribute financial and research resources.

Partnership on AI will support related research and recommend best practices in ethics, transparency and privacy when it comes to artificial intelligence studies. The project also aims to create an open platform where researchers and major players in the industry can communicate. The initiative's website explains its tenet as follows: "We believe that artificial intelligence technologies hold great promise for raising the quality of people's lives and can be leveraged to help humanity address important global challenges such as climate change, food, inequality, health, and education." All five founding companies have huge AI projects. IBM, as you know, has Watson, while Google has DeepMind, which you probably recognize as the the team behind AlphaGo.

Google, Facebook, Amazon, IBM and Microsoft are joining forces to create a new AI partnership dedicated to advancing public understanding of the sector, as well as coming up with standards for future researchers to abide by. Going by the unwieldy name of the Partnership on Artificial Intelligence to Benefit People and Society, the alliance isn't a lobbying organisation (at least, it says it "does not intend" to lobby government bodies). Instead, it says it will "conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability and robustness of the technology". There will be equal representation between corporate and non-corporate members on the board of the partnership, and it hopes to invite "academics, non-profits and specialists in policy and ethics" to join. Each of the five founding corporate members has strong AI research teams, some of which have become household names, such as IBM's Watson and Amazon's Alexa.

Artificial intelligence is becoming ubiquitous. As its reach grows and is engrained into consumer products and services, elements of control and regulation are required. Silicon Valley's biggest companies are joining forces to introduce this. Facebook, Google (in the form of DeepMind), Microsoft, IBM, and Amazon have created a partnership to research and collaborate on advancing AI in a responsible way. Each member of the Partnership on AI will contribute financial and research resources.

In blue we show the recurrent connections – the output'm' at time (t – 1) is fed back to the memory at time't' via the three gates; the cell value is fed back via the forget gate; the predicted word at time (t – 1) is fed back in addition to the memory output'm' at time't' into the Softmax for tag prediction. In spite of this fact, when we test images with multiple clothing type, our trained model generates tags for these unseen test images quite accurately ( 80% accurate). Prediction accuracy of our model improves quickly with increasing number of training iterations and stabilizes after about 20,000 iterations. Moreover, combining DCNN-RNN model helps us extend the trained model to solve completely different problem like fashion image tag generation.

The tech giants have joined forces to create a new AI partnership to study and formulate best practices on AI technologies, and to serve as an open platform for discussion and engagement about AI and its influences on people and society. Google's involvement in the project is mainly through its research subsidiary DeepMind, which made news recently when its AI machine beat a world-class human player in the Asian board game, 'Go'. The heavyweights lobby says, the goal is to "conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability and robustness of the technology".

Five tech giants announced on Wednesday that they are launching a nonprofit to "advance public understanding" of artificial intelligence and to formulate "best practices on the challenges and opportunities within the field." The Partnership on Artificial Intelligence to Benefit People and Society is being formed byAmazon, Facebook, Google, IBM, and Microsoft, each of which will have a representative on the group's 10-member board. The partnership will conduct research and recommend best practices relating to "ethics, fairness and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability and robustness of the technology," according to the announcement. "It does not intend to lobby government or other policymaking bodies." "We're in a golden age of machine learning and AI," said Ralf Herbrich, the director of machine learning at Amazon, in a prepared statement.

In my earlier articles, I had discussed about about application of Big data for gathering Insights on green revolution and witnessed about a research work on supply chain management using big data analytics on agriculture. Incrementally, got an opportunity to implement data science methodology (a game theory approach) to make the results of SCM as an incentive compatible one. However, in this article I am trying to discuss about a large scale digital image processing obtained using time-series photographs of agricultural fields and sensor data for parameters, that should be done parallely with the help of Big Data Analytics such that the result of this work can facilitate SCM process exponentially. We are focusing on using deep learning and machine learning techniques for identifying patterns for making predictins and decision making on large-scale stored / near real-time data sets. By this, we can identify the crop type, quality, maturity period for harvesting, early identification of bugs and diseases, soil quality attributes, early identification of need for soil nourishments etc., on a larger farms.

The world's biggest technology companies are joining forces to consider the future of artificial intelligence. Amazon, Google's DeepMind, Facebook, IBM and Microsoft will work together on issues such as privacy, safety and the collaboration between people and AI. Dubbed the Partnership on Artificial Intelligence, it will include external experts. One said he hoped the group would address "legitimate concerns". "We've seen a very fast development in AI over a very short period of time," said Prof Yoshua Bengio, from the University of Montreal.