Image caption, Some 5,000 people took to the streets on Sunday carrying red-and-green flags of Khan's Pakistan Tehreek-e-Insaf party Thousands of supporters of Pakistan's jailed ex-prime minister Imran Khan are marching to the capital Islamabad as they call for his release. Concerns over the 73-year-old's health have grown louder in recent months. His family claims he has lost most of his vision in his right eye after prison authorities failed to take action. The cricket star-turned-politician, who faces charges in more than 100 cases, was jailed for 14 years over corruption last year. Khan said all the cases against him are politically motivated.

Pakistan says it has carried out air strikes on 10 locations in Afghanistan used to store and launch drones, some of which were used in cross-border attacks. The air strikes on Thursday were carried out as tensions grow between the former allies over attacks by armed groups in Pakistan, which triggered their worst fighting in years in February. The air strikes were "deliberate, precise, calibrated, and proportionate, and strictly limited to identified military objectives directly linked to the attempted attacks against Pakistan", Pakistani Information Minister Attaullah Tarar wrote on X. He condemned a "deliberate and unlawful incursion into Pakistan by drones" on Wednesday. "This constitutes a blatant violation of Pakistan's sovereignty and territorial integrity and is a grave and unacceptable act of aggression," he said.

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Do Taliban's drone attacks expose a chink in Pakistan's armour? On the evening of March 13, drones struck three locations across Pakistan. Two children were wounded in Quetta. Civilians were also injured in Kohat and in Rawalpindi, the garrison city that houses the headquarters of Pakistan's armed forces and neighbours the capital, Islamabad. Pakistan's military said the drones were intercepted before reaching their targets.

Tensions continue to mount as India and Pakistan traded accusations and attacks across their frontier in Kashmir overnight. New Delhi and Islamabad accused one another on Friday of launching drone attacks as well as "numerous ceasefire violations" over the Line of Control (LoC) in the disputed territory. The ongoing hostilities have provoked further calls for restraint as the risk of an escalation between the two nuclear powers grows. Pakistan launched "multiple attacks" using drones and other munitions along India's western border on Thursday night and early Friday, the Indian army said, claiming it had repelled the attacks and responded forcefully, although it did not provide details. Islamabad has denied any cross-border attacks and instead accused Indian forces of sending drones into Pakistani territory, killing at least two civilians.

Pakistan's military said on Thursday morning that the country's air defence system had brought down 25 Indian drones overnight over some of the country's chief cities, including Lahore and Karachi. At least one civilian has died, and five people were wounded, it said. India's Defence Ministry confirmed hours later that it had targeted Pakistan's air defence radars and claimed that it was able to "neutralize" one defence system in Lahore. It said Pakistan had attempted to attack India and Indian-administered Kashmir with drones and missiles overnight, but that these had been shot down. The drone attacks represent the latest escalation between the nuclear-armed neighbours, a day after India launched deadly missile strikes on Pakistan and Pakistan-administered Kashmir, killing at least 31 people, according to Islamabad.

Pakistan's economy is ranked 26th in the world in terms of purchasing power parity (PPP) and 40th in terms of nominal gross domestic product. Pakistan has a population of approximately 190 million people, making it the world's sixth-largest country, with a nominal GDP per capita of $1,427, ranking 133rd globally. The key sectors of the Pakistani economy are agriculture, mining, industry, automotive, construction, defence, services, and transportation. The IT/ITeS sector is one of Pakistan's fastest-growing industries, accounting for around 1% of the country's GDP ($3.5 billion USD). It has doubled in the last four years, and experts predict a further 100% increase to $7 billion in the next two to four years.

Modern aircraft are designed with redundant control effectors to cater for fault tolerance and maneuverability requirements. This leads to an over-actuated aircraft which requires a control allocation scheme to distribute the control commands among effectors. Traditionally, optimization based control allocation schemes are used; however, for nonlinear allocation problems these methods require large computational resources. In this work, a novel ANN based nonlinear control allocation scheme is proposed. To start, a general nonlinear control allocation problem is posed in a different perspective to seek a function which maps desired moments to control effectors. Few important results on stability and performance of nonlinear allocation schemes in general and this ANN based allocation scheme, in particular, are presented. To demonstrate the efficacy of the proposed scheme, it is compared with standard quadratic programming based method for control allocation.

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.

The use of Deep Learning and Machine Learning is becoming pervasive day by day which is opening doors to new opportunities in every aspect of technology. Its application Ranges from Health-care to Self-driving Cars, Home Automation to Smart-agriculture, and Industry 4.0. Traditionally the majority of the processing for IoT applications is being done on a central cloud but that has its issues; which include latency, security, bandwidth, and privacy, etc. It is estimated that there will be around 20 Million IoT devices by 2020 which will increase problems with sending data to the cloud and doing the processing there. A new trend of processing the data on the edge of the network is emerging. The idea is to do processing as near the point of data production as possible. Doing processing on the nodes generating the data is called Edge Computing and doing processing on a layer between the cloud and the point of data production is called Fog computing. There are no standard definitions for any of these, hence they are usually used interchangeably. In this paper, we have reviewed the development boards available for running Artificial Intelligence algorithms on the Edge