Indranil Ghosh

1 month ago | restofworld.org | Indranil Ghosh

U.S. President Donald Trump wrapped up the first major overseas trip of his second term with a four-day blitz through Saudi Arabia, Qatar, and the United Arab Emirates that delivered massive investment commitments, reshaped AI chip exports, and positioned the Gulf as the U.S.’ key tech ally. Trump had set clear expectations, telling reporters in March that his hosts needed to “pay $1 trillion to American companies” over four years to secure his visit.

1 month ago | restofworld.org | Damilare Dosunmu |Indranil Ghosh

Meta is in trouble in Nigeria. Local authorities have fined Meta $290 million for regulatory breaches, prompting the social media giant to threaten pulling Facebook and Instagram from the country. The Federal Competition and Consumer Protection Commission (FCCPC) said on May 3 that quitting Nigeria won’t absolve Meta of its liability. The showdown is the latest development in a year-long regulatory battle between the social media behemoth and Africa’s most populous nation. Why is Meta being fined?

1 month ago | restofworld.org | Andrea Benito |Indranil Ghosh

Chinese cloud companies are quietly gaining momentum in the battle with their U.S. counterparts for the Middle East’s digital infrastructure. Amazon, Microsoft, Google, and Oracle spent years building regional tech ecosystems with data centers across the Gulf. In recent years, however, Huawei and Alibaba have outmaneuvered them by aligning more closely with local government priorities.

2 months ago | restofworld.org | Damilare Dosunmu |Indranil Ghosh

Tesla is finally set to debut in Saudi Arabia, years after a dramatic fallout between Riyadh and Elon Musk. The electric vehicle company will open showrooms in Riyadh, Jeddah and Dammam on April 11, entering a market that’s undergoing an energy transition through the ambitious Vision 2030 plan, aimed at veering the economy away from oil.

2 months ago | wires.onlinelibrary.wiley.com | Indranil Ghosh

1 Introduction Hidden truncation models represent a class of statistical models designed to handle data truncated in ways not immediately apparent or directly observable. These models extend traditional truncation methods by incorporating latent variables that account for the unseen truncation mechanism.