The current Federated Recommendation System (FedRS) focuses on personalized recommendation services and assumes clients are personalized IoT devices (e.g., mobile phones). In this paper, we deeply dive into new but practical FedRS applications within the joint venture ecosystem. Subsidiaries engage as participants with their users and items. However, in such a situation, merely exchanging item embedding is insufficient, as user bases always exhibit both overlaps and exclusive segments, demonstrating the complexity of user information. Meanwhile, directly uploading user information is a violation of privacy and unacceptable.

AI is making journalistic language more repetitive and predictable - and it's a problem for all of us What happens to language when a growing amount of text published in the press, online and on social media is written by machines? This question is not just important for the profession of journalism - it also has an impact on the richness of the language we all use to comprehend, describe and discuss reality itself. Historically, the press has been a space where public language grows and becomes richer. It is not, of course, the only driver of linguistic change, but it is one of the fields where new or emerging words, turns of phrase and ways of describing facts begin to circulate within society. Studies on journalistic language and neologisms clearly demonstrate that newspapers are platforms for the creation and dissemination of new vocabulary, especially when it is needed to report on events, technology and social changes for a broad audience.

Microsoft has officially abandoned plans for a Surface gaming laptop, with Corporate VP Brett Ostrum confirming the company won't enter this market segment. PCWorld reports that Microsoft believes the gaming laptop market is already healthy with existing partners, preferring to support the Windows ecosystem rather than compete directly. Instead, Microsoft is focusing on Project Helix, which aims to merge console and PC gaming experiences, potentially creating new Xbox hardware innovations. For years, consumers have wondered if Microsoft would ship a gaming laptop. We have an answer, at least from the Surface side of the house: No. Brett Ostrum, the corporate vice president of Surface Devices at Microsoft, told PCWorld that Microsoft doesn't feel obligated to ship a gaming laptop with the Surface brand attached. It was a timely question, as Microsoft is navigating the role of Surface devices in this new era of budget laptops -- dictated by the Apple MacBook Neo and the Dell XPS 13 -- versus the stratospheric prices Microsoft charged for the recent Surface Laptop and Pro for Business .

Microsoft launches Surface Pro 12 and Surface Laptop 8 with Snapdragon X2 processors, starting at $1,499 and $1,599 respectively, marking significant price increases from previous models. PCWorld reports Microsoft's strategy focuses on premium Windows-on-Arm devices rather than competing across all price points like other PC vendors. The new Surface models feature improved graphics performance, enhanced webcams, and long battery life, positioning Microsoft to compete directly with Apple's premium laptops. The Microsoft Surface premium: for years, laptop buyers have criticized Microsoft for charging more and delivering less. Now Microsoft is preparing to ship the Surface Laptop 8 as well as the Surface Pro 12 with Qualcomm Snapdragon X2 processors inside.

There has been increasing research interest in AI/ML for social impact, and correspondingly more publication venues have refined review criteria for practice-driven AI/ML research. However, these review guidelines tend to most concretely recognize projects that simultaneously achieve deployment and novel ML methodological innovation. We argue that this introduces incentives for researchers that undermine the sustainability of a broader research ecosystem of social impact, which benefits from projects that make contributions on single front (applied or methodological) that may better meet project partner needs. Our position is that researchers and reviewers in machine learning for social impact must simultaneously adopt: 1) a more expansive conception of social impacts beyond deployment and 2) more rigorous evaluations of the impact of deployed systems.

Forest ecosystems play a critical role in the Earth system as major carbon sinks that are essential for carbon neutralization and climate change mitigation. However, the Earth has undergone significant deforestation and forest degradation, and the remaining forested areas are also facing increasing pressures from socioeconomic factors and climate change, potentially pushing them towards tipping points.Responding to the grand challenge, a theory-based Ecosystem Demography (ED) model has been continuously developed over the past two decades and serves as a key component in major initiatives, including the Global Carbon Budget, NASA Carbon Monitoring System, and US Greenhouse Gas Center. Despite its growing importance in combating climate change and shaping carbon policies, ED's expensive computation significantly limits its ability to estimate carbon dynamics at the global scale with high spatial resolution.Recently, machine learning (ML) models have shown promising potential in approximating theory-based models with interesting success in various domains including weather forecasting, thanks to the open-source benchmark datasets made available.However, there are currently no publicly available ML-ready datasets for global carbon dynamics forecasting in forest ecosystems. The limited data availability hinders the development of corresponding ML emulators. Furthermore, the inputs needed for running ED are highly complex with over a hundred variables from various remote sensing products. To bridge the gap, we develop a new ML-ready benchmark dataset, \textit{CarbonGlobe}, for carbon dynamics forecasting, featuring that: (1) the data has a global-scale coverage at 0.5$^\circ$ resolution; (2) the temporal range spans 40 years; (3) the inputs integrate extensive multi-source data from different sensing products, with calibrated outputs from ED; (4) the data is formatted in ML-ready forms and split into different evaluation scenarios based on climate conditions, etc.; (5) a set of problem-driven metrics is designed to develop benchmarks using various ML models to best align with the needs of downstream applications.

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PCWorld examines Apple's revamped Siri, which integrates AI across macOS with a focus on productivity and seamless ecosystem functionality. Apple's approach prioritizes local, private AI processing and practical user benefits, contrasting sharply with Microsoft's fragmented Copilot solutions. The unified Siri experience demonstrates how Apple's strategic AI integration creates a more holistic user experience than Windows' various disconnected tools. Apple's secret is that, like the Queen of England, it is never early, and never late. It is always on time.

Agentic AI is helping organizations completely reimagine core banking processes and operations from the customer perspective, rather than simply making incremental improvements. Despite years of digitization, organizations capture less than one-third of the value expected from digital investments, according to McKinsey research . That's because most big companies begin with technological capabilities and bolt applications onto them, rather than starting with customer needs and working backward to technology solutions. Not prioritizing the customer can create fragmented solutions; disjointed customer experiences; and ultimately, failed transformations. Organizations that achieve outsized results from AI flip the script. They adopt a "customer-back engineering" mindset, putting customers at the heart of technology transformation.

The answer may already be in your home. To achieve a smart home, you need a voice assistant to run it. A smart home assistant, usually folded into a smart speaker, will let you command your smart home with your voice and run your various routines. It also acts as a center for every gadget you want to add to your home. And you can add almost anything these days, from smart garage control to even voice-commanding your blinds .