As the population grows and more land is being used for urbanization, ecosystems are disrupted by our roads and cars. These instances of WVC are a global issue that is having a global socio-economic impact, resulting in billions of dollars in property damage and, at times, fatalities for vehicle occupants. In Saudi Arabia, this issue is similar, with instances of Camel-Vehicle Collision (CVC) being particularly deadly due to the large size of camels, which results in a 25% fatality rate [4]. The focus of this work is to test different object detection models on the task of detecting camels on the road. The Deep Learning (DL) object detection models used in the experiments are: CenterNet, EfficientDet, Faster R-CNN, and SSD. Results of the experiments show that CenterNet performed the best in terms of accuracy and was the most efficient in training. In the future, the plan is to expand on this work by developing a system to make countryside roads safer.

Insights from Faramarz Farhoodi, CEO of AI Nexus Healthcare

The G7 Summit is done. It is done for the year after a weekend of personality clashes, fires, uninvited guests and meagre discussions covering issues like inequality, climate change, digital economy, nuclear proliferation and the future of African development. Rejigging the format, host nation France invited democracies that have regional influence, which made India a participant alongside Australia, South Africa and Chile. Indian Prime Minister Narendra Modi addressed the G7 on two key issues - climate change and digital transformations - which testify to India's importance in tackling these issues. For countries like India, whose economy is deeply entwined with globalisation and its effects, G7 talks on matters like digital economy, climate change, oceans and biodiversity and inequality serve as an opportunity to take stock on domestic policies covering these issues and how to retool them.

Hatem and Mohammed are obsessed with drones and robots. Determined to stop the desert from swallowing up their country, the two Sudanese inventors decide to take part in a television competition for inventors to raise awareness and investment in their dream - Sudan's first and only agricultural drone company. Although isolated by international sanctions and frustrated by a failing economy, the pair succeed in building Sudan's first flying robot farmer. Their drone can plant trees, increase harvests and reduce crop damage. And they are bound by their shared belief that Africa can change its destiny with technology.

Science and technology are essential tools for innovation, and to reap their full potential, we also need to articulate and solve the many aspects of today's global issues that are rooted in the political, cultural, and economic realities of the human world. With that mission in mind, MIT's School of Humanities, Arts, and Social Sciences has launched The Human Factor -- an ongoing series of stories and interviews that highlight research on the human dimensions of global challenges. Contributors to this series also share ideas for cultivating the multidisciplinary collaborations needed to solve the major civilizational issues of our time. David Mindell, the Frances and David Dibner Professor of the History of Engineering and Manufacturing and Professor of Aeronautics and Astronautics at MIT, researches the intersections of human behavior, technological innovation, and automation. Mindell is the author of five acclaimed books, most recently "Our Robots, Ourselves: Robotics and the Myths of Autonomy" (Viking, 2015).