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US Senator Lindsey Graham dies after 'brief and sudden illness', his office says

BBC News

US Senator Lindsey Graham dies after'brief and sudden illness', his office says To play this video you need to enable JavaScript in your browser. US Republican Senator Lindsey Graham has died following a brief and sudden illness. His office has released a statement saying he died on Saturday evening, adding that Graham's family asks for privacy during this incredibly difficult period. Elected to the Senate in 2002, the South Carolina politician was one of Washington's most influential voices on foreign policy and a key ally of Trump. He had just returned from Kyiv, where he met the Ukrainian President Volodymyr Zelensky on Friday.


Palestinian Authority to Hold First Major Elections in 20 Years: What to Know

TIME - Tech

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US trade deficit surges amid artificial intelligence spending boom

Al Jazeera

The United States trade deficit has jumped to $77.6bn in May on rising imports, driven by goods that include pharmaceuticals, mobile phones and semiconductors. Imports ticked up 3.3 percent from April to $395.3bn while exports fell 3.2 percent to $317.7bn, according to a report released on Tuesday by the US Department of Commerce's Bureau of Economic Analysis and the Census Bureau. The surge came amid a boom in artificial intelligence spending across the economy. Notably, semiconductor imports jumped by $1.2bn. In the oil and gas sector, petroleum imports jumped to their highest level on record despite the US-Israel war on Iran.


Lawyer takes Trump to Task over Unchecked Presidential Powers

Al Jazeera

Constitutional lawyer Bruce Fein says the US was founded on the principle that governments exist to protect inalienable rights. He argues expanded presidential powers and unchecked authority represents a step backwards for US democracy. How AI is being weaponised against India's Muslim women


Ocean temperatures hit record highs as El Niรฑo looms

Al Jazeera

The world's oceans are under heat stress, with average sea surface temperatures hitting 21 C, surpassing the record highs of 2023 and 2024. They're expected to rise further as El Niรฑo, a natural climate pattern that warms the tropical Pacific for months, develops. How AI is being weaponised against India's Muslim women


US signs 1 lease with Israel to build permanent embassy in West Jerusalem

Al Jazeera

The US and Israel have signed a deal allocating land for a permanent US embassy in West Jerusalem, years after a temporary one was established during Trump's first term in office. The move is yet another blow to the hopes of a future Palestinian capital. How AI is being weaponised against India's Muslim women


State of emergency: Bolivia's currency plummets as anger simmers

Al Jazeera

Bolivia's President Paz declared a state of emergency after 50 days of protests against his policies. Workers are angry, accusing him of abandoning them with austerity cuts and privatisation. How AI is being weaponised against India's Muslim women


One week on from Venezuela's deadly earthquakes

Al Jazeera

How AI is being weaponised against India's Muslim women Trump made $1.4B from crypto ventures in first year back in office


How AI is being weaponised against India's Muslim women

Al Jazeera

How AI is being weaponised against India's Muslim women NewsFeed How AI is being weaponised against India's Muslim women For years, India's Muslim women have been subject to online abuse. Now researchers warn that generative AI is taking that harassment to a new level, making it easier to create fake sexualised imagery and propaganda targeting Muslim women. Trump made $1.4B from crypto ventures in first year back in office


Convergence of Continual Learning in Homogeneous Deep Networks

arXiv.org Machine Learning

We characterize weakly regularized continual classification in homogeneous models as sequential projections onto task margin sets. This result generalizes prior analyses restricted to either stationary (single-task) deep models or continual linear models. We show that global convergence generally fails, even for simple models linear in data but nonlinear in parameters. Nevertheless, by leveraging results from nonconvex projection theory, we identify regularity properties of homogeneous deep networks that guarantee local linear convergence under random and cyclic task sequences. Finally, we extend our analysis to continual regression, unifying the framework for homogeneous models.