ANA President and CEO Koji Shibata speaks during a news conference in Tokyo on April 30. Many major Japanese companies, namely electronics makers, enjoyed rosy earnings in the year ended in March thanks to significant artificial intelligence-linked investment worldwide, but they are looking ahead with caution amid high costs for fuel and materials spurred by the war in Iran. Chipmaker Kioxia saw its group net profit double from the previous year to an all-time high of ¥554.4 billion ($3.48 billion). President and CEO Hiroo Ota described the financial performance as a "historic feat." Kioxia benefited from rising demand for memory chips amid a rush to build more data centers due to the growing use of AI.

Japan's startup story is just beginning, venture capitalist says Japan's startup moment may soon arrive given significant government support, the rise of corporate venture capital and a changing mindset about internationalization, according to Anis Uzzaman, founder and CEO of Pegasus Tech Ventures. "Overall, I would say Japan is now at a turning point," Uzzaman said. San Jose, California's Pegasus Tech Ventures has invested in a number of major U.S. tech companies, including SpaceX, Airbnb and Robinhood, and also in major artificial intelligence companies, such as OpenAI and Anthropic. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right.

Thailand risks losing ground to regional rivals such as Vietnam and Indonesia, which have moved more aggressively to streamline regulatory regimes and court foreign capital. Thai Prime Minister Anutin Charnvirakul's government plans a sweeping reform of more than 7,000 business regulations, aiming to cut bureaucratic hurdles and accelerate investment as it tries to compete for global capital. The planned rollback of ministerial rules and secondary regulations, many of which have accumulated into a significant burden on companies, marks a concerted push to reposition Thailand as a more competitive destination for multinational firms reconfiguring supply chains. The effort was detailed in a government statement Monday and comes as Thailand risks losing ground to regional rivals such as Vietnam and Indonesia, which have moved more aggressively to streamline regulatory regimes and court foreign capital. "Regulations intended to guide have, in practice, become costs," said government spokeswoman Rachada Dhnadirek.

The building that houses Recruit Holdings' headquarters in Tokyo. Investors have shown confidence in Recruit's HR Technology unit, where Indeed is leveraging AI to improve matching and raising average revenue from each job posting even as hiring demand remains soft. Recruit Holdings shares climbed the most on record after the Japanese owner of Indeed.com The stock jumped as much as 19%, its biggest intraday increase since the company went public in 2014, even as the Topix index fell, after issuing an outlook for ¥787 billion ($5 billion) in operating profit on ¥4 trillion in sales for the fiscal year to March 2027. That exceeds analysts' average projection for ¥723 billion and ¥3.9 trillion, respectively.

Shares are up more than 300% this year for the Tokyo-based company. Kioxia Holdings' shares were untraded in a glut of buy orders Monday morning after the supplier of storage for artificial intelligence data centers reported soaring profit and gave an outlook that trounced expectations. The Tokyo-based company said it expects to earn an operating profit of ¥1.3 trillion ($8.2 billion) during the June quarter, above the record profit it earned for the full year ended March. Its quarterly profit also surged past expectations, surpassing that of Toyota's, making Kioxia one of Japan's most profitable businesses. Kioxia's shares are up more than 300% this year.

Cuba says U.S. fabricating pretext for conflict after report on drone purchase Cuba's Foreign Minister Bruno Rodriguez speaks during a news conference in Havana in October 2025. HAVANA - Cuban Foreign Minister Bruno Rodriguez accused the U.S. on Sunday of fabricating a fraudulent case to justify economic sanctions and potential military intervention. The minister's comments followed a report by Axios the same day citing classified intelligence, which said Cuba had acquired more than 300 military drones. Cuba neither threatens nor desires war, Rodriguez said in a post on social media, adding that the country prepares itself to confront external aggression in the exercise of the right to legitimate self-defense recognized by the U.N. Charter. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

U.S. and Iran far from Hormuz deal as Trump says clock is ticking A ship remains anchored in the Strait of Hormuz near Larak Island, Iran, on Saturday. The U.S. and Iran remained far apart Sunday on a deal to end weeks of war and reopen the crucial Strait of Hormuz, as a drone attack sparked a fire at a United Arab Emirates nuclear plant, spotlighting the risks of a fragile ceasefire. U.S. President Donald Trump made clear his patience is wearing thin, posting on social media Sunday that For Iran, the Clock is Ticking, and they better get moving, FAST, or there won't be anything left of them. TIME IS OF THE ESSENCE!" Iran's semiofficial Fars news agency said the U.S. had set five main conditions for a peace deal, including the removal of uranium used by Iran's nuclear program to the U.S.; no U.S. reparations to Tehran and the unfreezing of less than a quarter of Iran's suspended assets. Fars didn't give a source for the information, and the U.S. hasn't publicly commented on such stipulations.

Could the war trigger a hunger crisis? How well do you know Iran? This video may contain light patterns or images that could trigger seizures or cause discomfort for people with visual sensitivities. US President Donald Trump warns Iran that the "clock is ticking" for a peace deal to be reached with Washington. Saudi Arabia says it intercepted three drones, as the UAE reported a separate drone strike near its Barakah nuclear power plant that sparked a fire.

Coherent Point Drift (CPD) is a representative probabilistic framework for unsupervised non-rigid point set registration. Its standard non-rigid M-step, however, relies on a point-indexed Gaussian-kernel system whose size grows with the number of moving points, making deformation estimation computationally heavy for large point sets and difficult to control in complexity during registration. To address these limitations, we propose Analytic-CPD, a new unsupervised non-rigid registration framework that gives CPD a structured analytic reformulation. Analytic-CPD preserves the CPD posterior correspondence layer, but lifts the M-step from point-indexed kernel displacement estimation to structured analytic mapping estimation. By coupling the Gaussian-mixture posterior mechanism of CPD with Structured Analytic Mappings (SAM), the method obtains a deformation model whose coefficient dimension is governed by the ambient dimension and analytic order rather than by the number of moving points. More importantly, deformation estimation is organized over an interpretable hierarchy of analytic function spaces, so the analytic order can be increased progressively as posterior correspondences become more reliable. We implement this idea through an increasing-degree continuation strategy with decreasing stage lengths: low-order analytic maps first stabilize the posterior correspondence structure, while higher-order modes later refine nonlinear residual deformation. Experiments on controlled model-matched, smooth model-mismatch, and registered human-shape data demonstrate the effectiveness and favorable accuracy--efficiency performance of Analytic-CPD.

Mixture-of-Experts (MoE) models rely on balanced expert utilization to fully realize their scalability. However, existing load-balancing methods are largely heuristic and operate on noisy mini-batch assignment statistics, introducing bias relative to population-level objectives. We propose $ϕ$-balancing, a principled framework that directly targets population-level expert balance by minimizing a strictly convex, symmetric, and differentiable potential of the expected routing distribution. Using convex duality, we derive an equivalent min-max formulation and obtain a simple online algorithm via mirror descent, yielding an efficient EMA-based routing adjustment with negligible overhead. Across large-scale pretraining and downstream fine-tuning, $ϕ$-balancing consistently outperforms prior Switch-style and loss-free baselines, demonstrating more stable and effective expert utilization.