Central Asia
India's scattered workforce: the chatbot keeping families in touch during emergencies
Subhalata Pradhan, a Gram Vikas fieldworker, talks to Raja Pradhan about the chatbot and addresses concerns over sharing his details. Subhalata Pradhan, a Gram Vikas fieldworker, talks to Raja Pradhan about the chatbot and addresses concerns over sharing his details. India's scattered workforce: the chatbot keeping families in touch during emergencies Covid exposed the lack of data on the country's 140 million mobile migrant workers, but a new project in Odisha is helping to fill in the gaps Mon 16 Mar 2026 02.00 EDTLast modified on Mon 16 Mar 2026 02.03 EDT Raja Pradhan is sitting cross-legged, scrolling on his phone in his village in eastern India when a green WhatsApp chat bubble pops up on the screen. Are you going outside for work? He reads the message twice, unsure whether to respond.
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AI hit: India hungry to harness US tech giants' technology at Delhi summit
From left: India's prime minister, Narendra Modi, with the chief executives of OpenAI, Sam Altman, and Anthropic, Dario Amodei, at the AI Impact summit in Delhi. From left: India's prime minister, Narendra Modi, with the chief executives of OpenAI, Sam Altman, and Anthropic, Dario Amodei, at the AI Impact summit in Delhi. AI hit: India hungry to harness US tech giants' technology at Delhi summit Narendra Modi's thirst to supercharge economic growth is matched by US desire to inject AI into world's biggest democracy I ndia celebrates 80 years of independence from the UK in August 2027. At about that same moment, "early versions of true super intelligence" could emerge, Sam Altman, the co-founder of OpenAI, said this week. It's a looming coincidence that raised a charged question at the AI Impact summit in Delhi, hosted by India's prime minister, Narendra Modi: can India avoid returning to the status of a vassal state when it imports AI to raise the prospects of its 1.4 billion people? Modi's hunger to harness AI's capability is great.
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Tech billionaires fly in for Delhi AI expo as Modi jostles to lead in south
Campaigners fear Narendra Modi could use AI to increase state surveillance and sway elections. Campaigners fear Narendra Modi could use AI to increase state surveillance and sway elections. Silicon Valley tech billionaires will land in Delhi this week for an AI summit hosted by India's prime minister, Narendra Modi, where leaders of the global south will wrestle for control over the fast-developing technology. During the week-long AI Impact Summit, attended by thousands of tech executives, government officials and AI safety experts, tech companies valued at trillions of dollars will rub along with leaders of countries such as Kenya and Indonesia, where average wages dip well below $1,000 a month. Amid a push to speed up AI adoption across the globe, Sundar Pichai, Sam Altman and Dario Amodei, the heads of Google, OpenAI and Anthropic, will all be there.
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Prehistoric Japan was home to cave lions--not tigers
Fossil evidence shows a case of mistaken big cat identity. Breakthroughs, discoveries, and DIY tips sent six days a week. Present-day Japan may see its fair share of bears, but the islands' big cat populations are long gone. Between 129,000 and 11,700 years ago, temporary land bridges allowed the ancient predators to migrate between mainland Asia and the islands. Paleobiologists have long believed tigers were the primary cats to make this trek, but recently analyzed evidence published in the suggests a different timeline.
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Russia-Ukraine war: List of key events, day 1,447
Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Russian overnight drone attacks on Ukraine, including in the eastern Kharkiv and Chernihiv regions, killed at least four people. A mother and her 10-year-old son were killed in the attacks, which also knocked out power to tens of thousands of people, Ukrainian officials said.
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Long-Term Probabilistic Forecast of Vegetation Conditions Using Climate Attributes in the Four Corners Region
McPhillips, Erika, Lee, Hyeongseong, Xie, Xiangyu, Baylis, Kathy, Funk, Chris, Gu, Mengyang
Weather conditions can drastically alter the state of crops and rangelands, and in turn, impact the incomes and food security of individuals worldwide. Satellite-based remote sensing offers an effective way to monitor vegetation and climate variables on regional and global scales. The annual peak Normalized Difference Vegetation Index (NDVI), derived from satellite observations, is closely associated with crop development, rangeland biomass, and vegetation growth. Although various machine learning methods have been developed to forecast NDVI over short time ranges, such as one-month-ahead predictions, long-term forecasting approaches, such as one-year-ahead predictions of vegetation conditions, are not yet available. To fill this gap, we develop a two-phase machine learning model to forecast the one-year-ahead peak NDVI over high-resolution grids, using the Four Corners region of the Southwestern United States as a testbed. In phase one, we identify informative climate attributes, including precipitation and maximum vapor pressure deficit, and develop the generalized parallel Gaussian process that captures the relationship between climate attributes and NDVI. In phase two, we forecast these climate attributes using historical data at least one year before the NDVI prediction month, which then serve as inputs to forecast the peak NDVI at each spatial grid. We developed open-source tools that outperform alternative methods for both gross NDVI and grid-based NDVI one-year forecasts, providing information that can help farmers and ranchers make actionable plans a year in advance.
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