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Is the war entering a new phase? Ukrainian officials say that a Russian drone strike on a bus near the front line in southern Ukraine has killed at least five people and injured seven others. The attack on Wednesday hit an area around the city of Nikopol, Dnipropetrovsk region governor Oleksandr Hanzha said on the Telegram messaging app. Photos posted by Ukrainian officials showed windows blown out of a white minibus, with a trail of blood streaming down the side of the vehicle. "Russians cynically struck a passenger bus. They targeted a minibus which carried people going about their daily business," said Mykola Lukashuk, head of the Dnipropetrovsk region council.

Is the war entering a new phase? NATO Secretary-General Mark Rutte has pledged additional support for Ukraine after Russian drone strikes hit close to the border with Poland. Rutte insisted on Monday that the 32-nation military alliance will not be deterred from backing Kyiv in the Russia-Ukraine war, and that it will beef up its own defences along the eastern border with Russia. On Sunday, Russian drones hit a train near the Ukraine-Poland border and a second strike hit close to another crossing point. The strike that hit the train came minutes after a diplomatic delegation that included former British Prime Minister Boris Johnson and former Swedish Prime Minister Carl Bildt had passed through the station, according to Ukraine's state rail operator.

A cross-party group of MPs and peers has identified human rights risks posed by artificial intelligence (AI) which existing laws, they argue, are ill-equipped to cover. The Joint Committee on Human Rights (JCHR) published a report calling for a new bill on AI to address the scale and seriousness of such threats. Nowhere in the world, including the UK, has a current legislative and regulatory approach to AI that is fit for purpose, said Alex Sobel MP, the committee's chair. On Saturday, the head of the US AI company Anthropic, Dario Amodei, proposed a plan that includes global regulation, industry-wide regulation and independent monitoring of AI models as they are developed. Amodei urged the pace of development to be slowed down and the bosses of two rival AI firms, Sam Altman of OpenAI and Elon Musk, said they agreed with him.

E-commerce giant Amazon says it is suspending work with the firm that operated a cargo plane that was involved in a fatal crash in Miami this month . After the tragic incident last weekend, we've spent time supporting the investigation and reviewing some of the surrounding circumstances, and we've decided to pause our operations with 21 Air, an Amazon spokesperson said on Sunday. On 6 September, the 21 Air-operated Boeing jet overshot a runway at Miami International Airport and hit several vehicles, killing five people. The BBC has contacted 21 Air for comment. The firm previously said it was devastated by the accident and that it is cooperating with authorities to investigate the incident.

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Customers inside a B&M store, which is one of more than 100 businesses that will be using the technology. Customers inside a B&M store, which is one of more than 100 businesses that will be using the technology. Civil liberties groups say Facewatch system in stores such as Sainsbury's and B&M is'dangerous escalation' Fri 10 Jul 2026 06.19 EDTLast modified on Fri 10 Jul 2026 06.57 Facial recognition technology in shops will soon alert police in real time to the presence of serious offenders, with civil liberties groups warning of a "dangerous escalation" towards surveillance and criminalisation in the retail sector. Facewatch, a facial recognition system used by more than 100 businesses including Sainsbury's, B&M and Spar to monitor thieves, said it was launching a UK-first feature to "alert police instantly when the most serious offenders trigger a live facial recognition match".

Recent weeks have seen a significant escalation of military tensions in and around the Baltics. Lithuania, Latvia and Estonia, which are all NATO members, now experience regular incursions into their airspace by Ukrainian drones. According to both Kyiv and the Baltic capitals, those drones, en route to hit targets in western Russia, get diverted by Russian electronic jamming and end up entering these countries' territories. In early May, several stray unmanned aircraft crashed in Latvia, one of them damaging an oil storage facility. Those developments triggered a political crisis in Latvia and led to the collapse of its government.

Accurate predictions of conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) can enable effective personalized therapy. While cognitive tests and clinical data are routinely collected, they lack the predictive power of PET scans and CSF biomarker analysis, which are prohibitively expensive to obtain for every patient. To address this cost-accuracy dilemma, we design a two-stage machine learning framework that selectively obtains advanced, costly features based on their predicted "value of information". We apply our framework to predict AD progression for MCI patients using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Our framework reduces the need for advanced testing by 20% while achieving a test AUROC of 0.929, comparable to the model that uses both basic and advanced features (AUROC=0.915, p=0.1010). We also provide an example interpretability analysis showing how one may explain the triage decision. Our work presents an interpretable, data-driven framework that optimizes AD diagnostic pathways and balances accuracy with cost, representing a step towards making early, reliable AD prediction more accessible in real-world practice. Future work should consider multiple categories of advanced features and larger-scale validation.

Organizations are increasingly exploring delegation of screening and negotiation tasks to AI systems, yet deployment in high-stakes B2B settings is constrained by governance: preventing unauthorized commitments, ensuring sufficient information before bargaining, and maintaining effective human oversight and auditability. Prior work on large language model negotiation largely emphasizes autonomous bargaining between agents and omits practical needs such as staged information gathering, explicit authorization boundaries, and systematic feedback integration. We propose GAIA, a governance-first framework for LLM-human agency in B2B negotiation and screening. GAIA defines three essential roles - Principal (human), Delegate (LLM agent), and Counterparty - with an optional Critic to enhance performance, and organizes interactions through three mechanisms: information-gated progression that separates screening from negotiation; dual feedback integration that combines AI critique with lightweight human corrections; and authorization boundaries with explicit escalation paths. Our contributions are fourfold: (1) a formal governance framework with three coordinated mechanisms and four safety invariants for delegation with bounded authorization; (2) information-gated progression via task-completeness tracking (TCI) and explicit state transitions that separate screening from commitment; (3) dual feedback integration that blends Critic suggestions with human oversight through parallel learning channels; and (4) a hybrid validation blueprint that combines automated protocol metrics with human judgment of outcomes and safety. By bridging theory and practice, GAIA offers a reproducible specification for safe, efficient, and accountable AI delegation that can be instantiated across procurement, real estate, and staffing workflows.