AI boom sees investors shift from Japan's value to growth stocks Some see Japanese equities as an attractive way to diversify away from U.S. stocks while still benefiting from the global artificial intelligence rally. Japanese equities, long regarded by global investors as a value market, are beginning to attract growth funds, as artificial intelligence-linked firms power to the top of market-cap rankings, beating out the manufacturers and telecoms giants that dominated for decades. "We have been raising our exposure to Japan based on the growth prospects of Japanese companies" under a strategy of investing in innovative firms globally, said Kei Takizawa, senior investment strategist at AllianceBernstein Japan. The nation's firms are playing an increasingly critical role in building AI infrastructure, he added. Investors had historically classified Japan's equities as low-growth value stocks due to the country's sluggish economic growth and declining population.

Automated diabetic retinopathy (DR) grading from colour fundus photographs can achieve strong predictive performance, but clinical interpretation requires more than an image-level label. It requires understanding how lesion evidence is distributed around retinal vessels and how this evidence relates to quantitative vascular biomarkers. We present a dual-edge spatial-Jacobian image graph for interpretable DR grading. Each fundus image is represented as a graph node with four aligned evidence streams: AutoMorph vessel information ($X_1$), DR-XAI-style lesion evidence maps ($X_2$), a 128-dimensional lesion-based contrastive image embedding ($X_3$), and AutoMorph morphometric biomarkers ($X_4$). The spatial edge branch ($X_{12}$) encodes vessel-lesion geometry, while the Jacobian branch ($X_{34}$) models embedding-biomarker sensitivity. Lightweight two-token attention fuses both edge families into a final image graph. On 2,910 matched non-augmented APTOS images, the full graph achieves 0.8076 accuracy, 0.8312 quadratic weighted kappa, 0.5915 macro-F1, and 0.9330 adjacent-grade accuracy; referable DR reaches 0.9055 accuracy and 0.9711 AUROC. The framework is positioned as an explainable representation-learning tool for lesion-biomarker hypothesis generation, rather than as a deployment-ready clinical classifier. The code is available at https://github.com/Inamullah-Colab/dual-edge-dr-graph-xai.

We study the problem of estimating the arrival times of vertices in a uniform random recursive tree from its unlabeled structure. We adopt a pointwise perspective and analyze the distribution of the relative estimation error, and derive tail bounds that are uniform in both the vertex and the tree size. For the ranking induced by Jordan centrality, the probability that the estimate exceeds the true arrival time by a factor $S$ decays on the order of $1/S$, while the probability of underestimating the arrival time by a factor $1/S$ decays exponentially in $S$. We introduce a refined centrality measure whose overestimation tail decays on the order of $(\log S)/S^{2}$, at the cost of a heavier lower tail of order $1/S^{2}$. These results reveal a tradeoff between upper- and lower-tail performance in arrival-time estimation that is invisible to the previously studied risk functional. Nevertheless, the refined centrality measure attains the optimal order of the risk for all its parameter values.

Russia’s “Project 2026” wasn’t just to spread misinformation on social media — its main goal to create an alternative information ecosystem.

Ten years on, Brexit's economic impact is becoming clearer Not long after the UK left the EU in 2020, a Bristol-based firm called Eskimo started selling a new kind of high-fashion and energy-efficient electric radiator, based on new technology developed by academics in the city. They planned to send them around Europe using the Channel Tunnel. It was a timely product given Europe's green ambitions, and with orders flowing, its Birmingham factory was being kept busy. The boss Phil Ward tells me his start-up has continued to grow, but that in his view it could have been so much more without what he calls the Long Brexit effect: in 2020, 40% of his exports went to the European Union, and by 2025 it was just 5%. The post-Brexit deal agreed with the EU by then-Prime Minister Boris Johnson in December 2020 guaranteed zero tariffs on exports to the EU, but Ward says that despite this, red tape and paperwork not directly related to tariffs were enough to create delays, costs and the expectation of hassle for prospective customers.

China beats U.S. with world's fastest supercomputer, but race not geared for AI work Workers at Elon Musk's xAI facility, which houses a large supercomputer known as Colossus, used for Artificial Intelligence (AI) data processing, in Memphis, Tennessee, on Sept. 11, 2025 | REUTERS SAN FRANCISCO - China has overtaken the U.S. to win the top spot on a list of the world's fastest supercomputers, but the results may say more about Beijing's desire to show self-sufficiency in computing systems than its standing in the global AI race, experts said. The LineShine system at the National Supercomputing Center in Shenzhen, China, uses domestically designed chips and won the top spot on the TOP500, a biannual global ranking of supercomputers, with the country's first listing in three years. The ranking comes as the U.S. and China are increasingly competing in advanced computing, with U.S. President Donald Trump on Monday signing an executive order that aims to put the U.S. ahead of China in the emerging field of quantum computing. In the June 2026 edition of TOP500, LineShine beat out the previous titleholder, El Capitan, a supercomputer housed at Lawrence Livermore National Laboratory that the U.S. government uses to develop and maintain its nuclear weapons stockpile. But technology and policy experts said the results do not mean that China has the world's fastest computer for AI work because of changes in the computing industry in recent years and the methods used to compile the list.

The'Parasite of Parasites' Has Been Discovered in the Tropical Forests of Borneo A newly identified species of fungus attacks the famous "zombie mushrooms" that control ants. Scientists from the Universiti Malaysia Sabah have discovered a newly identified "parasite of parasites " in the tropical forests of Borneo. More specifically, it is what the researchers describe as a hyperparasite--an organism capable of parasitizing other parasites. In this case, its targets are zombie fungi. The new fungal species, named for its distinctive horn-shaped structure, has been described in the journal Phytotaxa.

The Take Who's being left out of the World Cup? Can football's biggest stage stay global as visa denials and border restrictions mount? The excitement of the World Cup has arrived in North America. But behind it have been stories of fans being denied visas, players being searched by sniffer dogs, and Iran's team being forced to base itself outside the US. What happens when a global tournament collides with US President Donald Trump's immigration policies? How is China using AI in the classroom?

Meta has paused a new company-wide program of tracking its employees' computer usage which has been plagued by internal frustration. The program was started only two months ago as part of an effort by Meta to gather data on how people used computers, including mouse clicks and keystrokes, that could be used to train artificial intelligence (AI) models. It was met immediately with upset from employees who were to have their every online action at work tracked and recorded, but also concerned about where the data was going and how it would be protected. Meta halted the program on Monday after realising some of the collected data had been left potentially accessible to anyone inside the company. A Meta spokesman confirmed to the BBC that the program, named internally the Model Capability Initiative (MCI), was on pause for now as the company investigates the issue.

Financial markets received a sharp wake-up call on Tuesday following a sudden wave of selling in major technology shares, triggering widespread doubt over the sustainability of the AI boom. The tech-focused Nasdaq index fell about 2% alongside international chipmakers, reigniting fears that dizzying market valuations have finally run out of momentum after a relentless three-month climb. At the same time, the newly public SpaceX has faced an incredibly choppy session . The aerospace giant's share price plunged below the $150 (£114) mark-its initial floatation price-before staging a modest recovery to $157 despite the broader market anxiety. For months, international stock exchanges have climbed on pure optimism.