Latent Lab: Large Language Models for Knowledge Exploration

This paper investigates the potential of AI models, particularly large language models (LLMs), to support knowledge exploration and augment human creativity during ideation. We present "Latent Lab" an interactive tool for discovering connections among MIT Media Lab research projects, emphasizing "exploration" over search. The work offers insights into collaborative AI systems by addressing the challenges of organizing, searching, and synthesizing content. In a user study, the tool's success was evaluated based on its ability to introduce users to an unfamiliar knowledge base, ultimately setting the groundwork for the ongoing advancement of human-AI knowledge exploration systems

Implementing cooperative diversity antenna arrays with commodity hardware

Summarization: Cooperation among single-antenna transceivers and formation of distributed antenna arrays has recently attracted considerable interest. Such distributed antenna arrays are envisioned to provide resistance to slow wireless fading and improve performance of point-to-point wireless communication across various dimensions. Despite the plethora of recently proposed theoretical approaches that promise gains due to diversity at the physical layer though cooperation (cooperative diversity), there is not much work in the implementation of cooperative antenna arrays with existing wireless transceivers. In this article we summarize the main challenges in implementation of cooperative diversity antenna arrays for realistic wireless networks. We then present the basic building blocks of a cooperative diversity demonstration realized in the lab, utilizing commodity radio hardware. Our work sheds light onto the synergies needed between the physical, link, and routing layers that significantly simplify the overall network operation and decrease the transceiver complexity in cooperative diversity antenna arrays, making feasible the utilization of (existing) commodity radio hardware.Presented on: IEEE Communications Magazin

Zero-feedback, collaborative beamforming for emergency radio: Asymptotic analysis

Summarization: Collaborative beamforming among a set of distributed terminals is studied, assuming a) no specialized RF hardware for carrier frequency synchronization, and b) zero feedback from destination (either in the form of pilot signals or explicit messages). Our goal is to provide a solution for conventional radios (not necessarily wideband), when the link between a single source transmitter and destination is too weak, so that no signal can be reliably received at the destination. In such critical case, zero feedback messages from destination to the multiple transmitters cannot be assumed, even when the destination is equipped with powerful hardware. A solution is provided for conventional radios in relevant critical applications, such as in emergency radio. The proposed scheme simply exploits lack of synchronization among distributed carriers, operating at the same nominal carrier frequency. It is shown that such beamforming is possible and its performance is analytically quantified. Results include asymptotic analysis for the case of large number of transmitters.Presented on: Mobile Networks and Application

Association of serum α-tocopherol with sex steroid hormones and interactions with smoking: implications for prostate cancer risk

Results from this nationally representative, cross-sectional study indicate an inverse association between serum α-tocopherol and circulating testosterone, estradiol, and SHBG, but only in men who smoked. Our findings support vitamin E selectively influencing sex hormones in smokers and afford possible mechanisms through which vitamin E may impact prostate cancer risk

Codification, Abstraction, and Firm Differences: A Cognitive Information-based Perspective

knowledge, codification, theory of the firm, firm heterogeneity, resource-based view, information asymmetry, B52, D01, D82, D83, L25,

Comprehensive genomic characterization of head and neck squamous cell carcinomas

The Cancer Genome Atlas profiled 279 head and neck squamous cell carcinomas (HNSCCs) to provide a comprehensive landscape of somatic genomic alterations. Here we show that human-papillomavirus-associated tumours are dominated by helical domain mutations of the oncogene PIK3CA, novel alterations involving loss of TRAF3, and amplification of the cell cycle gene E2F1. Smoking-related HNSCCs demonstrate near universal loss-of-function TP53 mutations and CDKN2A inactivation with frequent copy number alterations including amplification of 3q26/28 and 11q13/22. A subgroup of oral cavity tumours with favourable clinical outcomes displayed infrequent copy number alterations in conjunction with activating mutations of HRAS or PIK3CA, coupled with inactivating mutations of CASP8, NOTCH1 and TP53. Other distinct subgroups contained loss-of-function alterations of the chromatin modifier NSD1, WNT pathway genes AJUBA and FAT1, and activation of oxidative stress factor NFE2L2, mainly in laryngeal tumours. Therapeutic candidate alterations were identified in most HNSCCsclose9

The Molecular Taxonomy of Primary Prostate Cancer

There is substantial heterogeneity among primary prostate cancers, evident in the spectrum of molecular abnormalities and its variable clinical course. As part of The Cancer Genome Atlas (TCGA), we present a comprehensive molecular analysis of 333 primary prostate carcinomas. Our results revealed a molecular taxonomy in which 74% of these tumors fell into one of seven subtypes defined by specific gene fusions (ERG, ETV1/4, and FLI1) or mutations (SPOP, FOXA1, and IDH1). Epigenetic profiles showed substantial heterogeneity, including an IDH1 mutant subset with a methylator phenotype. Androgen receptor (AR) activity varied widely and in a subtype-specific manner, with SPOP and FOXA1 mutant tumors having the highest levels of AR-induced transcripts. 25% of the prostate cancers had a presumed actionable lesion in the PI3K or MAPK signaling pathways, and DNA repair genes were inactivated in 19%. Our analysis reveals molecular heterogeneity among primary prostate cancers, as well as potentially actionable molecular defectsclose