If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Wheat is the main agricultural crop of Pakistan and is a staple food requirement of almost every Pakistani household making it the main strategic commodity of the country whose availability and affordability is the government's main priority. Wheat food availability can be vastly affected by multiple factors included but not limited to the production, consumption, financial crisis, inflation, or volatile market. The government ensures food security by particular policy and monitory arrangements, which keeps up purchase parity for the poor. Such arrangements can be made more effective if a dynamic analysis is carried out to estimate the future yield based on certain current factors. Future planning of commodity pricing is achievable by forecasting their future price anticipated by the current circumstances. This paper presents a wheat price forecasting methodology, which uses the price, weather, production, and consumption trends for wheat prices taken over the past few years and analyzes them with the help of advance neural networks architecture Long Short Term Memory (LSTM) networks. The proposed methodology presented significantly improved results versus other conventional machine learning and statistical time series analysis methods.
Breast cancer is one of the most common cause of deaths among women. Mammography is a widely used imaging modality that can be used for cancer detection in its early stages. Deep learning is widely used for the detection of cancerous masses in the images obtained via mammography. The need to improve accuracy remains constant due to the sensitive nature of the datasets so we introduce segmentation and wavelet transform to enhance the important features in the image scans. Our proposed system aids the radiologist in the screening phase of cancer detection by using a combination of segmentation and wavelet transforms as pre-processing augmentation that leads to transfer learning in neural networks. The proposed system with these pre-processing techniques significantly increases the accuracy of detection on Mini-MIAS.
The autonomous automotive industry is one of the largest and most conventional projects worldwide, with many technology companies effectively designing and orienting their products towards automobile safety and accuracy. These products are performing very well over the roads in developed countries. But can fail in the first minute in an underdeveloped country because there is much difference between a developed country environment and an underdeveloped country environment. The following study proposed to train these Artificial intelligence models in environment space in an underdeveloped country like Pakistan. The proposed approach on image classification uses convolutional neural networks for image classification for the model. For model pre-training German traffic signs data set was selected then fine-tuned on Pakistan's dataset. The experimental setup showed the best results and accuracy from the previously conducted experiments. In this work to increase the accuracy, more dataset was collected to increase the size of images in every class in the data set. In the future, a low number of classes are required to be further increased where more images for traffic signs are required to be collected to get more accuracy on the training of the model over traffic signs of Pakistan's most used and popular roads motorway and national highway, whose traffic signs color, size, and shapes are different from common traffic signs.
Founded by Bahrain, Jordan, Kuwait, Pakistan, and Saudi Arabia, the DCO is to be driven by a vision to realize a digital future for all by empowering women, youth, and entrepreneurs, growing the digital economy, and leapfrogging with innovation. "We are joining hands together towards a commitment to drive consensus on digital cooperation to make sure that we seize an opportunity for our youth, our women and our entrepreneurs with the ambition to grow our combined digital economy to one trillion dollars in the next 3-5 years," said Abdullah Amer Al-Swaha, Saudi Arabia's Minister of Communications and Information Technology. "Our future prosperity will depend on the digital economy. But it can only reach its full potential if we are able to make governments work together collectively with businesses, and entrepreneurs so they can survive and thrive, expand their depth into current markets, and open doors for everyone into new ones." The launch of the DCO follows the conclusion of Saudi Arabia's G20 Presidency to maintain the Kingdom's momentum on accelerating the growth of the digital economy across the region and the globe, as nations everywhere increase their adoption of remote learning, telemedicine, and contact-less economic systems to survive and thrive beyond the social and economic impact of COVID-19.
The White House's recent decision to allow the sale of advanced weapons systems to the United Arab Emirates highlights the deliberate shift in US policy towards the UAE after it signed "normalisation" accords with Israel. Why would the UAE want American drones as it already has dozens of Chinese armed unmanned aerial vehicles (UAVs) in its inventory? And why has the United States now agreed to these sales, overcoming its traditional reticence to sell sophisticated weapons to other countries? Chinese armed drones have made a significant effect on the battlefields across the Middle East and North Africa. They have been used to assassinate Houthi rebel leaders in Yemen, kill ISIL-affiliated fighters in the Sinai, and for a time help Khalifa Haftar dominate the battlespace in Libya.
I think this a step in the right direction. We may not be perfect and make all the right decisions all the time but it does some there's enough people with their head screwed on right. This is a crucial area for R&D. I am more excited about the computing part than the AI part. You need computing clusters to run FEM codes and FDC sims and I suppose PAF has realized this (it was about time they did). That being said many interesting applications for AI, but not in the way most people think (read autonomous fighter jets).
Artificial Intelligence help, Even before Covid-19, Pakistan was dealing with multi-pronged crises, ranging from the economy to health, and digital rights. The pandemic, however, has significantly exacerbated the crises. Artificial Intelligence help, The precipitously rising problems have, in turn, given rise to global calls for similarly urgent solutions. In a world, where social distancing has become a basic necessity to fight the pandemic, digitization is an integral part of any solutions. Artificial Intelligence (AI) and big data have been its vanguards.
Islamabad: The purpose of the '1st Comstech Showcasing of Artificial Intelligence and IoT Products and Services: AI and IoT for Pakistan, is to foster interest in Science, Technology, and Innovation and to popularize the field of artificial intelligence among the youth of Pakistan, stimulating their interest in the sphere of innovation, and in high-tech areas of technology. This national exhibition will be a unique platform for innovators, technology developers, and service providers, who are eager and ready to share experience and professional skills with end users to appreciate the importance of this field and foster linkages for development in national economic growth, informed Prof. Dr. M. Iqbal Choudhary, while addressing a press briefing on the "1st Comstech Showcasing of Artificial Intelligence and IoT Products and Services: AI and IoT for Pakistan, to be held on August 4 to 5, 2020 at Comstech Secretariat Islamabad, is being organised by Comstech, CARE (Pvt) Ltd., MoST and MoITT. The national showcasing is designed to promote projects and innovations in the realm of AI and allied technologies. It is a showcasing of next generation technologies, solutions and strategies from all over Pakistan, to provide an opportunity to explore and discover the practical and successful implementation of AI and allied technologies in Pakistan. The event will provide the opportunity to network with relevant ministries, industry R&D organizations, academia, strategic organizations and peers.
A physician-turned-entrepreneur raised in Kashmir is now part of a team using big data and machine learning to help detect useful patterns in the tsunami of public health data generated world-wide by the COVID-19 crisis and do what he can for those back home. Junaid Nabi, a public health researcher at Brigham and Women's Hospital and Harvard Medical School in Boston, says his experiences with the health system in the developing world drives his current work. "Growing up in Kashmir, a society marred with social, economic, and healthcare disparities, I was exposed to the inherent inequities in my community at an early age," he said, "During the final years of my training, I had an opportunity to work with some non-profit organizations, especially the rescue teams during the Savar building collapse in Dhaka, Bangladesh." "This is when I noticed that clinical medicine does not answer all the questions clinical work asks." Nabi, who is also an Aspen New Voices Fellow, is now working with colleagues at Harvard Medical School and Harvard School of Public Health to develop digital tools that harness big data and machine learning to rapidly evaluate patterns in the data pouring in from clinical research. "I believe machine learning has an important role in COVID-19," he said.
If anybody read the word Artificial Intelligence (AI), he starts thinking that he will come to a shopping mall on his self-driven car and there a robot opens his car door. All services are automated without human presence, like greeter, house staff, and security guard. Every job is done by a robot. This perception is very much aligned for AI in near future, but are we adopting AI properly in Pakistan? Are we following ethical codes to use AI for improvement of human conditions?