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'It's survival of the fittest': the UK kebab chain seeking an edge with robot slicers
'People are being more discerning about spending money,' he says. 'People are being more discerning about spending money,' he says. T hey are already packing our groceries and delivering shopping. Now robots are coming to the kebab shop, alongside self-service screens and loyalty apps, as takeaways look for ways to tackle rising costs. German Doner Kebab (GDK), a perhaps surprisingly British-owned chain that has been springing up across the country, has turned to technology to keep its fast food business buzzing in the face of rising costs and tough times on the high street.
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Appendix A V ariational Paragraph Embedder A.1 Selection of substitution rate p
Figure 4: Impact of the proportion of injected noise for learning Paragraph Em-beddings on XSum dataset. (Figure 4). The results of the ablation study are presented in Table 5. Embedder in providing clean and denoised reconstructions. In general, it has been observed that generations progress in a coarse-to-fine manner. The early time step, which is close to 1, tends to be less fluent and generic. This was the nicest stay we have ever had. Turtle Bay was a great resort. This was the nicest stay we have ever had.
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Supplementary Materials A Appendix 1 A.1 Construction & Schema Details 2 A.1.1 Conversation Details 3
The hotel
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A Dubai chocolate-inspired dessert has taken S Korea by storm
You must have heard of Dubai chocolate: the sticky, indulgent confectionary filled with pistachio cream, tahini and shreds of knafeh pastry, which has become a global sensation. Now the decadent bar has inspired South Korea's latest dessert craze. The Dubai chewy cookie has been selling like wildfire - and even restaurants that don't usually offer baked goods are trying to get a nibble of the market. Despite its name, the cookie's texture more closely resembles a rice cake, and is made by stuffing pistachio cream and knafeh shreds into a chocolate marshmallow. Shops are selling hundreds of cookies within minutes and the frenzy has sent prices of key ingredients surging, local media reported.
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Chef 'not embarrassed' by one-star hygiene rating at Michelin-starred restaurant
The chef behind Wales' only two-Michelin-star restaurant has said he is not embarrassed after it was awarded a one-star hygiene rating. Ynyshir Restaurant and Rooms, near Machynlleth in Ceredigion, which charges nearly £500 per head, received the rating after a visit by food safety officers on 5 November. According to the Food Standards Agency (FSA), a score of one out of five means major improvement is necessary. But chef patron Gareth Ward, a contestant on MasterChef The Professionals, said the restaurant was working at the highest standard in the world and doing something different with how it approaches raw ingredients and techniques. Ynyshir offers a high-end dining experience starting at £468 per person, including a 30-course tasting menu and an in-house DJ.
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Inside the labs where glasses are redesigned for a hyper-visual world
I went to EssilorLuxottica's Paris facilities to learn how the digital age is reshaping eyes and redefining eyewear. We may earn revenue from the products available on this page and participate in affiliate programs. Restaurants are surprisingly good age tests. When the menu lands, do you squint at the tiny fonts, tilt the page toward some inadequate candle, or blast it with your phone flashlight just to read it? Do you ask a friend to tell you the options because you refuse to wear the readers you know, in your heart, you probably need? And when did restaurants get so loud?
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See-Control: A Multimodal Agent Framework for Smartphone Interaction with a Robotic Arm
Zhao, Haoyu, Ding, Weizhong, Yang, Yuhao, Tian, Zheng, Yang, Linyi, Shao, Kun, Wang, Jun
Recent advances in Multimodal Large Language Models (MLLMs) have enabled their use as intelligent agents for smartphone operation. However, existing methods depend on the Android Debug Bridge (ADB) for data transmission and action execution, limiting their applicability to Android devices. In this work, we introduce the novel Embodied Smartphone Operation (ESO) task and present See-Control, a framework that enables smartphone operation via direct physical interaction with a low-DoF robotic arm, offering a platform-agnostic solution. See-Control comprises three key components: (1) an ESO benchmark with 155 tasks and corresponding evaluation metrics; (2) an MLLM-based embodied agent that generates robotic control commands without requiring ADB or system back-end access; and (3) a richly annotated dataset of operation episodes, offering valuable resources for future research. By bridging the gap between digital agents and the physical world, See-Control provides a concrete step toward enabling home robots to perform smartphone-dependent tasks in realistic environments.
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Non-Collaborative User Simulators for Tool Agents
Shim, Jeonghoon, Song, Woojung, Jin, Cheyon, KooK, Seungwon, Jo, Yohan
Tool agents interact with users through multi-turn dialogues to accomplish various tasks. Recent studies have adopted user simulation methods to develop these agents in multi-turn settings. However, existing user simulators tend to be agent-friendly, exhibiting only cooperative behaviors, which fails to train and test agents against non-collaborative users in the real world. To address this, we propose a novel user simulator architecture that simulates four categories of non-collaborative behaviors: requesting unavailable services, digressing into tangential conversations, expressing impatience, and providing incomplete utterances. Our user simulator can simulate challenging and natural non-collaborative behaviors while reliably delivering all intents and information necessary to accomplish the task. Our experiments on MultiWOZ and $τ$-bench reveal significant performance degradation in state-of-the-art tool agents when encountering non-collaborative users. We provide detailed analyses of agents' weaknesses under each non-collaborative condition, such as escalated hallucinations and dialogue breakdowns. Ultimately, we contribute an easily extensible user simulation framework to help the research community develop tool agents and preemptively diagnose them under challenging real-world conditions within their own services.
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