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Russia-Ukraine war: List of key events, day 1,421

Al Jazeera

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' Ukrainian President Volodymyr Zelenskyy said that a state of emergency was being declared for Ukraine's energy sector, after repeated Russian attacks destroyed electricity and heat infrastructure. Zelenskyy said he asked the government to review curfew restrictions during "this extremely cold weather".


Meet the AI-powered robotic dog ready to help with emergency response

Robohub

Developed by Texas A&M University engineering students, this AI-powered robotic dog doesn't just follow commands. Designed to navigate chaos with precision, the robot could help revolutionize search-and-rescue missions, disaster response and many other emergency operations. Sandun Vitharana, an engineering technology master's student, and Sanjaya Mallikarachchi, an interdisciplinary engineering doctoral student, spearheaded the invention of the robotic dog. It can process voice commands and uses AI and camera input to perform path planning and identify objects. A roboticist would describe it as a terrestrial robot that uses a memory-driven navigation system powered by a multimodal large language model (MLLM).


Deep Linear Discriminant Analysis Revisited

Tezekbayev, Maxat, Takhanov, Rustem, Bolatov, Arman, Assylbekov, Zhenisbek

arXiv.org Machine Learning

We show that for unconstrained Deep Linear Discriminant Analysis (LDA) classifiers, maximum-likelihood training admits pathological solutions in which class means drift together, covariances collapse, and the learned representation becomes almost non-discriminative. Conversely, cross-entropy training yields excellent accuracy but decouples the head from the underlying generative model, leading to highly inconsistent parameter estimates. To reconcile generative structure with discriminative performance, we introduce the \emph{Discriminative Negative Log-Likelihood} (DNLL) loss, which augments the LDA log-likelihood with a simple penalty on the mixture density. DNLL can be interpreted as standard LDA NLL plus a term that explicitly discourages regions where several classes are simultaneously likely. Deep LDA trained with DNLL produces clean, well-separated latent spaces, matches the test accuracy of softmax classifiers on synthetic data and standard image benchmarks, and yields substantially better calibrated predictive probabilities, restoring a coherent probabilistic interpretation to deep discriminant models.


Russia-Ukraine war: List of key events, day 1,400

Al Jazeera

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' An explosion in Moscow killed three people, including two police officers, just days after a car bomb killed a high-ranking Russian general in the same area of the capital. An official from Ukraine's military intelligence, known as GUR, told The Associated Press news agency that the attack had been carried out as part of a Ukrainian operation and the two police officers were targeted for taking part in Russia's war in Ukraine.


Japan and five Central Asian nations adopt joint declaration at first summit

The Japan Times

Prime Minister Sanae Takaichi attends a summit with five Central Asian nations in Tokyo on Saturday. Japan and five Central Asian nations adopted a joint declaration at their first summit, held in Tokyo for two days through Saturday. The declaration identifies transportation infrastructure development, decarbonization and people-to-people exchanges as three priority areas. The current rapidly changing environment surrounding Central Asia, due to recent changes in the international situation, is making regional and global cooperation more important, Prime Minister Sanae Takaichi said at the summit. The summit was also attended by the leaders of Kazakhstan, Uzbekistan, Turkmenistan, Kyrgyzstan and Tajikistan.


From Nvidia to OpenAI, Silicon Valley woos Westminster as ex-politicians take tech firm roles

The Guardian

W hen the billionaire chief executive of AI chipmaker Nvidia threw a party in central London for Donald Trump's state visit in September, the power imbalance between Silicon Valley and British politicians was vividly exposed. Jensen Huang hastened to the stage after meetings at Chequers and rallied his hundreds of guests to cheer on the power of AI. In front of a huge Nvidia logo, he urged the venture capitalists before him to herald "a new industrial revolution", announced billions of pounds in AI investments and, like Willy Wonka handing out golden tickets, singled out some lucky recipients in the room. "If you want to get rich, this is where you want to be," he declared. But his biggest party trick was a surprise guest waiting in the wings.


How can Ukraine rebuild China ties scarred by Russia's war?

Al Jazeera

What is in the 28-point US plan for Ukraine? 'Ukraine is running out of men, money and time' Can the US get all sides to end the war? Why is Europe opposing Trump's peace plan? How can Ukraine rebuild China ties scarred by Russia's war? Back in the 1990s, China's nascent capitalism triggered demand for Ukrainian steel slabs and iron ore, corn and sunflower oil.