Design Rationale (DR) for software architecture decisions refers to the reasoning underlying architectural choices, which provides valuable insights into the different phases of the architecting process throughout software development. However, in practice, DR is often inadequately documented due to a lack of motivation and effort from developers. With the recent advancements in Large Language Models (LLMs), their capabilities in text comprehension, reasoning, and generation may enable the generation and recovery of DR for architecture decisions. In this study, we evaluated the performance of LLMs in generating DR for architecture decisions. First, we collected 50 Stack Overflow (SO) posts, 25 GitHub issues, and 25 GitHub discussions related to architecture decisions to construct a dataset of 100 architecture-related problems. Then, we selected five LLMs to generate DR for the architecture decisions with three prompting strategies, including zero-shot, chain of thought (CoT), and LLM-based agents. With the DR provided by human experts as ground truth, the Precision of LLM-generated DR with the three prompting strategies ranges from 0.267 to 0.278, Recall from 0.627 to 0.715, and F1-score from 0.351 to 0.389. Additionally, 64.45% to 69.42% of the arguments of DR not mentioned by human experts are also helpful, 4.12% to 4.87% of the arguments have uncertain correctness, and 1.59% to 3.24% of the arguments are potentially misleading. To further understand the trustworthiness and applicability of LLM-generated DR in practice, we conducted semi-structured interviews with six practitioners. Based on the experimental and interview results, we discussed the pros and cons of the three prompting strategies, the strengths and limitations of LLM-generated DR, and the implications for the practical use of LLM-generated DR.

Deploying robot learning methods to aerial robots in unstructured environments remains both challenging and promising. While recent advances in deep reinforcement learning (DRL) have enabled end-to-end flight control, the field still lacks systematic design guidelines and a unified infrastructure to support reproducible training and real-world deployment. We present a task-oriented framework for end-to-end DRL in quadrotors that integrates design principles for complex task specification and reveals the interdependencies among simulated task definition, training design principles, and physical deployment. Our framework involves software infrastructure, hardware platforms, and open-source firmware to support a full-stack learning infrastructure and workflow. Extensive empirical results demonstrate robust flight and sim-to-real generalization under real-world disturbances. By reducing the entry barrier for deploying learning-based controllers on aerial robots, our work lays a practical foundation for advancing autonomous flight in dynamic and unstructured environments.

The non-commutative nature of 3D rotations poses well-known challenges in generalizing planar problems to three-dimensional ones, even more so in contact-rich tasks where haptic information (i.e., forces/torques) is involved. In this sense, not all learning-based algorithms that are currently available generalize to 3D orientation estimation. Non-linear filters defined on $\mathbf{\mathbb{SO}(3)}$ are widely used with inertial measurement sensors; however, none of them have been used with haptic measurements. This paper presents a unique complementary filtering framework that interprets the geometric shape of objects in the form of superquadrics, exploits the symmetry of $\mathbf{\mathbb{SO}(3)}$, and uses force and vision sensors as measurements to provide an estimate of orientation. The framework's robustness and almost global stability are substantiated by a set of experiments on a dual-arm robotic setup.

Generative retrieval methods utilize generative sequential modeling techniques, such as transformers, to generate candidate items for recommender systems. These methods have demonstrated promising results in academic benchmarks, surpassing traditional retrieval models like two-tower architectures. However, current generative retrieval methods lack the scalability required for industrial recommender systems, and they are insufficiently flexible to satisfy the multiple metric requirements of modern systems. This paper introduces PinRec, a novel generative retrieval model developed for applications at Pinterest. PinRec utilizes outcome-conditioned generation, enabling modelers to specify how to balance various outcome metrics, such as the number of saves and clicks, to effectively align with business goals and user exploration. Additionally, PinRec incorporates multi-token generation to enhance output diversity while optimizing generation. Our experiments demonstrate that PinRec can successfully balance performance, diversity, and efficiency, delivering a significant positive impact to users using generative models. This paper marks a significant milestone in generative retrieval, as it presents, to our knowledge, the first rigorous study on implementing generative retrieval at the scale of Pinterest.

GPU prices could follow RAM's big rise Dang, now I miss my old Tamagotchi. We love a little nostalgia mixed in with our cozy gaming, and looks like a perfect blend of those two. In this upcoming indie game, you play the owner of a Tokyo electronics repair shop in the mid 2000s. The trailer that dropped today shows you tinkering with some very familiar gadgets from the era, such as renamed riffs on a Tamagotchi, a Nokia brick phone, a PSP and a Walkman. You clean and repair these devices for customers, and it looks like your conversations with them might have as much impact on their lives as your official work does.

The two chip companies have signed a term sheet, according to sources with direct knowledge of the agreement. Intel has signed a term sheet to acquire the AI chip startup SambaNova Systems, two sources with direct knowledge of the agreement tell WIRED. The details of the term sheet are unknown. The agreement is non-binding, meaning the deal is not yet finalized and could be dissolved without penalty. It could take weeks or even months before regulatory approval, liability scrutiny, and financial due diligence are complete.

We've used all of these down comforter picks on our own beds and can attest they're excellent for winter (or year-round). Down comforter deals are usually easier to find during the warmest months of the year, but we've rustled up a few worth your while before it gets too bitterly cold outside. Down comforters are some of my very favorite products to test. I live in northern Illinois, and around this time of year it's usually either snowing, dangerously cold, or both. I have tried several blankets for our down comforter buying guide in my day-to-day life over the course of months.

International talks to revolutionise how the European Court of Human Rights handles migration cases will begin on Wednesday. The British government is urging partners to modernise the way states tackle the continent-wide illegal migration crisis. The talks are the most significant sign yet that international human rights law could be reinterpreted to make it easier for states to target people smuggling and set up'returns hubs' to hold people with no right to be in Europe. Writing ahead of the major meeting in Strasbourg, Sir Keir Starmer and Danish Prime Minister Mette Frederiksen said other nations should rethink human rights laws to make protecting borders easier. Critics say the ECHR is getting in the way of removing more illegal migrants, while supporters say claims about the ECHR's role in migration are exaggerated.

GPU prices could follow RAM's big rise Slack's CEO is joining OpenAI to find the money to pay for all those data centers Slack CEO Denise Dresser is OpenAI's new Chief Revenue Officer. OpenAI has announced that Denise Dresser, the current CEO of Slack, will be the company's new Chief Revenue Officer. Dresser will oversee the company's revenue strategy across enterprise and customer success, according to OpenAI's announcement, and will presumably play a key role in leading the company towards profitability now that it's reorganized as a public benefit corporation . We're on a path to put AI tools into the hands of millions of workers, across every industry, Fidji Simo, OpenAI's CEO of Products said in the announcement. Denise has led that kind of shift before, and her experience will help us make AI useful, reliable, and accessible for businesses everywhere.

Environment Animals Wildlife Birds Female Galápagos birds flaunt their sexual partners. The males don't seem to mind. 'Many of these female boobies are really freewheeling it when it comes to sexual behavior.' Breakthroughs, discoveries, and DIY tips sent every weekday. A Galápagos bird species is stunning behaviorists with their "freewheeling" lifestyles.