With more than 4.5 million patent documents, HUPD is two to three times larger than comparable corpora.

Newsom blasts'pathetic' Democrats for'surrendering' to Trump as'gang of eight' senators join Republicans to end longest government shutdown in US history Olympics set to ban ALL transgender athletes and Imane Khelif'DSD' competitors from female events after'finding scientific evidence of advantages to being born male' The REAL story of how Meghan lost her best friend: They've not spoken in years... but now insiders reveal'aggravation' and tensions that go'deeper than anyone knows' Scientists are baffled to discover mysterious'voids' in the third-largest pyramid of Giza - as scans suggest they could be a secret entrance Jordon Hudson appears to dodge encounter with Bill Belichick's daughter-in-law at UNC game after social media dig PayPal billionaire delivers chilling warning about spread of Communism as eerily prescient comment comes to light in wake of Mamdani's win Has Sydney Sweeney become too toxic for Hollywood? Star suffers box office flop with new film Christy after THAT controversial ad, Zendaya'feud' and backlash over her political views Dark side of Danielle Bernstein: She is America's most hated influencer... but now insiders reveal claims of behavior so outrageous they'kind of respect her' for getting away with it My brother was ALIVE on the operating table as surgeons tried to harvest his organs. Donald Trump launches new broadside at'corrupt' BBC journalists as director-general Tim Davie and news boss both quit in disgrace over doctored video of US President Meghan Markle wealthy pal's bookshop'is reported to council for serving her As Ever wine without a licence' after duchess used it as promotional pop-up Sussexes attended charity gala with Serena Williams before Kris Jenner's birthday party - while Royal Family marked Remembrance Sunday NFL announcer Tony Romo slammed by fans after outrageous'DTF' sexual reference live on air Donald Trump makes stunning flyover for first NFL visit of the season... hours after it emerged he wants $3.7bn new stadium named after him Jay Leno makes touching remark about caring for wife Mavis after 45 years of marriage amid heartbreaking'advanced' dementia diagnosis Barbara Bach captured America's hearts as a Bond girl... see her now after 44 years as a Beatle's wife Humanoid robot moves so smoothly, its inventor is forced to cut it open to prove there's not a person hiding inside READ MORE: Nike launches the world's first powered footwear A humanoid robot has reached new depths of the uncanny valley with its smooth, humanlike movements. Chinese electric vehicle manufacturer, Xpeng, revealed its latest robot dubbed the Xpeng IRON, at an event last week. The bot proved so eerily lifelike that its inventors were forced to cut it open on stage to prove there wasn't a person hiding inside.

Classifying patents by their relevance to the UN Sustainable Development Goals (SDGs) is crucial for tracking how innovation addresses global challenges. However, the absence of a large, labeled dataset limits the use of supervised learning. Existing methods, such as keyword searches, transfer learning, and citation-based heuristics, lack scalability and generalizability. This paper frames patent-to-SDG classification as a weak supervision problem, using citations from patents to SDG-tagged scientific publications (NPL citations) as a noisy initial signal. To address its sparsity and noise, we develop a composite labeling function (LF) that uses large language models (LLMs) to extract structured concepts, namely functions, solutions, and applications, from patents and SDG papers based on a patent ontology. Cross-domain similarity scores are computed and combined using a rank-based retrieval approach. The LF is calibrated via a custom positive-only loss that aligns with known NPL-SDG links without penalizing discovery of new SDG associations. The result is a silver-standard, soft multi-label dataset mapping patents to SDGs, enabling the training of effective multi-label regression models. We validate our approach through two complementary strategies: (1) internal validation against held-out NPL-based labels, where our method outperforms several baselines including transformer-based models, and zero-shot LLM; and (2) external validation using network modularity in patent citation, co-inventor, and co-applicant graphs, where our labels reveal greater thematic, cognitive, and organizational coherence than traditional technological classifications. These results show that weak supervision and semantic alignment can enhance SDG classification at scale.

In an age of fast-paced technological change, patents have evolved into not only legal mechanisms of intellectual property, but also structured storage containers of knowledge full of metadata, categories, and formal innovation. This chapter proposes to reframe patents in the context of information science, by focusing on patents as knowledge artifacts, and by seeing patents as fundamentally tied to the global movement of scientific and technological knowledge. With a focus on three areas, the inventions of AIs, biotech patents, and international competition with patents, this work considers how new technologies are challenging traditional notions of inventorship, access, and moral accountability.The chapter provides a critical analysis of AI's implications for patent authorship and prior art searches, ownership issues arising from proprietary claims in biotechnology to ethical dilemmas, and the problem of using patents for strategic advantage in a global context of innovation competition. In this analysis, the chapter identified the importance of organizing information, creating metadata standards about originality, implementing retrieval systems to access previous works, and ethical contemplation about patenting unseen relationships in innovation ecosystems. Ultimately, the chapter called for a collaborative, transparent, and ethically-based approach in managing knowledge in the patenting environment highlighting the role for information professionals and policy to contribute to access equity in innovation.

Patent examiners and inventors face significant pressure to verify the originality and non-obviousness of inventions, and the intricate nature of patent data intensifies the challenges of patent retrieval. Therefore, there is a pressing need to devise cutting-edge retrieval strategies that can reliably achieve the desired recall. This study introduces FullRecall, a novel patent retrieval approach that effectively manages the complexity of patent data while maintaining the reliability of relevance matching and maximising recall. It leverages IPC-guided knowledge to generate informative phrases, which are processed to extract key information in the form of noun phrases characterising the query patent under observation. From these, the top k keyphrases are selected to construct a query for retrieving a focused subset of the dataset. This initial retrieval step achieves complete recall, successfully capturing all relevant documents. To further refine the results, a ranking scheme is applied to the retrieved subset, reducing its size while maintaining 100% recall. This multi-phase process demonstrates an effective strategy for balancing precision and recall in patent retrieval tasks. Comprehensive experiments were conducted, and the results were compared with baseline studies, namely HRR2 [1] and ReQ-ReC [2]. The proposed approach yielded superior results, achieving 100% recall in all five test cases. However, HRR2[1] recall values across the five test cases were 10%, 25%, 33.3%, 0%, and 14.29%, while ReQ-ReC [2] showed 50% for the first test case, 25% for the second test case, and 0% for the third, fourth, and fifth test cases. The 100% recall ensures that no relevant prior art is overlooked, thereby strengthening the patent pre-filing and examination processes, hence reducing potential legal risks.

Woven City is a bold experiment by Toyota. There is a futuristic city designed and built from the ground up in Japan to test the latest technologies. It's called Woven City, and it's a bold experiment by Toyota to transition from being just an automaker to a broader mobility company focused on the future of movement. Far from a traditional testing ground, this is a fully functional urban environment designed for real people to live, work and play while contributing to groundbreaking research. Think of Woven City as a real-world laboratory.

We study a fundamental challenge in the economics of innovation: an inventor must reveal details of a new idea to secure compensation or funding, yet such disclosure risks expropriation. We present a model in which a seller (inventor) and buyer (investor) bargain over an information good under the threat of hold-up. In the classical setting, the seller withholds disclosure to avoid misappropriation, leading to inefficiency. We show that trusted execution environments (TEEs) combined with AI agents can mitigate and even fully eliminate this hold-up problem. By delegating the disclosure and payment decisions to tamper-proof programs, the seller can safely reveal the invention without risking expropriation, achieving full disclosure and an efficient ex post transfer. Moreover, even if the invention's value exceeds a threshold that TEEs can fully secure, partial disclosure still improves outcomes compared to no disclosure. Recognizing that real AI agents are imperfect, we model "agent errors" in payments or disclosures and demonstrate that budget caps and acceptance thresholds suffice to preserve most of the efficiency gains. Our results imply that cryptographic or hardware-based solutions can function as an "ironclad NDA," substantially mitigating the fundamental disclosure-appropriation paradox first identified by Arrow (1962) and Nelson (1959). This has far-reaching policy implications for fostering R&D, technology transfer, and collaboration.

I'm convinced the robot revolution is finally here. I was at the world's largest electronics exhibition Consumer Electronics Show in Las Vegas this week, where engineers have for decades claimed that commercially available humanoids were just around the corner. But this was the year that their predictions finally appeared to be close to reality. This was especially clear when I interacted with a robot that moved and danced with human-like fluidity--stepping one leg in front of the other and swaying naturally to maintain balance. Rounding a corner, I met another who could lift and stack boxes just like an Amazon worker.

The world's first'city of the future' is nearly ready to welcome its first residents. Developed by car maker Toyota, 'Woven City' sits at the base of Mount Fuji in Japan and features at least 11 'smart' homes powered by hydrogen, AI and other technologies. CEO Akio Toyoda said the 10 billion utopia would serve as a'lab' for innovators to develop the technologies of tomorrow. The city is poised to welcome its first 100 residents, which will be employees, this fall, who will live there for free -- though they'll need to already be Toyota employees and work on developing experimental tech for the company. The program will then expand to 2,200 more people, who will include innovators and their families, parents and pets.