Yoav Litvin is an Israeli-American doctor of psychology/neuroscience, a writer and photographer. On September 17, the late-night talk show host Jimmy Kimmel was suspended after remarks he made about the death of right-wing activist Charlie Kirk. Days later, he was reinstated following liberal upheaval. In his first appearance back on air, Kimmel read US President Donald Trump's post on Truth Social: "I can't believe ABC fake news gave Jimmy Kimmel his job back." Without missing a beat, Kimmel responded, "You can't believe they gave me my job back. I can't believe we gave you your job back!"

The Stream Why does misinformation spread faster than truth? We examine how online misinformation spreads and the efforts to stop it. From bots pushing ready-made talking points, to AI generating information that isn't always reliable, to pages distorting images and bending facts - online misinformation is everywhere. So how can people tell what's real? And is it even possible to build immunity against misinformation in today's digital world?

An entire family - a married couple and their two young sons - have been killed in an overnight Russian drone attack in Ukraine's north-eastern Sumy region, local officials have said. Regional head Oleh Hryhorov said a residential building was hit in the village of Chernechchyna. The bodies of the two children, aged four and six, and their parents were later recovered from the wreckage. Ukraine's air force said its units shot down 46 out of 65 Russian drones across the country - but there were 19 direct hits in six locations. Russia's military has not commented.

Can Ukraine restore its pre-war borders? Why are Tomahawk missiles for Ukraine a'red line' for Russia? Is Russia testing NATO with aerial incursions in Europe? At least 4 killed in major Russian drone, missile attack on Ukraine's Kyiv Russia's President Vladimir Putin said his forces are prevailing in what he described as a "righteous battle" in Ukraine . "Our fighters and commanders go on the attack, and the entire country, all of Russia, is waging this righteous battle and working hard," he said.

Japan's Kioxia sees AI driving strong memory growth for years Kioxia has been aggressively investing in its main chip factories as it aims to close the gap to rivals Samsung and SK Hynix. Kioxia anticipates demand for NAND storage will grow by roughly 20% each year as AI data center operators keep scaling up. The Tokyo-based memory maker is confident that the market will sustain that rapid clip of expansion and is making investment decisions on a monthly basis to ensure its new plant is up to the task of filling the demand, Executive Vice President Tomoharu Watanabe said. Kioxia's specialty is in NAND flash memory, which is used everywhere from smartphones and laptops to the fast-access sections of data center operations. Demand is strong, especially from hyperscalers who need chips for generative AI purposes," Watanabe said on Tuesday. We're also hearing from customers who need to replace data center servers they installed five to six years ago, as well as some saying they can't get enough hard drives."

Prime Minister Shigeru Ishiba (right) attends a joint news conference with Sri Lankan President Anura Kumara Dissanayake at the Prime Minister's Office on Monday. Prime Minister Shigeru Ishiba and Sri Lankan President Anura Kumara Dissanayake met in Tokyo on Monday and agreed that Japan will provide about 10 surveillance drones, worth about ¥500 million ($3.36 million), to the South Asian nation's navy. This will be Japan's first provision of defense equipment to Sri Lanka under its official security assistance program. The stability and development of Sri Lanka, which is located at a strategic point in the Indian Ocean, is extremely important, Ishiba said at a joint news conference after the meeting. In response, the president voiced his commitment to creating a peaceful and stable Indo-Pacific region.

Large Language Models (LLMs) are starting to be profiled as one of the most significant disruptions in the Software Testing field. Specifically, they have been successfully applied in software testing tasks such as generating test code, or summarizing documentation. This potential has attracted hundreds of researchers, resulting in dozens of new contributions every month, hardening researchers to stay at the forefront of the wave. Still, to the best of our knowledge, no prior work has provided a structured vision of the progress and most relevant research trends in LLM-based testing. In this article, we aim to provide a roadmap that illustrates its current state, grouping the contributions into different categories, and also sketching the most promising and active research directions for the field. To achieve this objective, we have conducted a semi-systematic literature review, collecting articles and mapping them into the most prominent categories, reviewing the current and ongoing status, and analyzing the open challenges of LLM-based software testing. Lastly, we have outlined several expected long-term impacts of LLMs over the whole software testing field.

Prostate cancer (PCa) is the most frequently diagnosed malignancy in men and the eighth leading cause of cancer death worldwide. Multiparametric MRI (mpMRI) has become central to the diagnostic pathway for men at intermediate risk, improving de-tection of clinically significant PCa (csPCa) while reducing unnecessary biopsies and over-diagnosis. However, mpMRI remains limited by false positives, false negatives, and moderate to substantial interobserver agreement. Time-dependent diffusion (TDD) MRI, a novel sequence that enables tissue microstructure characterization, has shown encouraging preclinical performance in distinguishing clinically significant from insignificant PCa. Combining TDD-derived metrics with machine learning may provide robust, zone-specific risk prediction with less dependence on reader training and improved accuracy compared to current standard-of-care. This study protocol out-lines the rationale and describes the prospective evaluation of a home-developed AI-enhanced TDD-MRI software (PROSTDAI) in routine diagnostic care, assessing its added value against PI-RADS v2.1 and validating results against MRI-guided prostate biopsy.

We present AstroCo, a Conformer-style encoder for irregular stellar light curves. By combining attention with depthwise convolutions and gating, AstroCo captures both global dependencies and local features. On MACHO R-band, AstroCo outperforms Astromer v1 and v2, yielding 70 percent and 61 percent lower error respectively and a relative macro-F1 gain of about 7 percent, while producing embeddings that transfer effectively to few-shot classification. These results highlight AstroCo's potential as a strong and label-efficient foundation for time-domain astronomy.

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