Jack is looking for movie/video footage, old commercials, pics, anything from the 1970s for his "70s show". Watch a preview in GroupBlog 329.

AI model wrapper TypingMind has just introduced Artifacts for any AI model that supports plugins.

The post TypingMind adds Artifacts for any model, not just Claude appeared first on The Red Ferret Journal.

Nowadays, we are surrounded by artifacts that are capable of adaptive behavior, such as electric pots, boiler timers, automatic doors, and robots. The literature concerning human beings’ conceptions of “traditional” artifacts is vast, however, little is known about our conceptions of behaving artifacts, nor of the influence of the interaction with such artifacts on cognitive development, especially among children. Since these artifacts are provided with an artificial “mind,” it is of interest to assess whether and how children develop a Theory of Artificial Mind (ToAM) which is distinct from their Theory of Mind (ToM). The study examined a new theoretical scheme named ToAM (Theory of Artificial Mind) by means of qualitative and quantitative methodology among twenty four 5-7 year old children from central Israel. It also examined the effects of interacting with behaving artifacts (constructing versus observing the robot’s behavior) using the “RoboGan” interface on children’s development of ToAM and their ToM and looked for conceptions that evolve among children while interacting with behaving artifacts which are indicative of the acquisition of ToAM. In the quantitative analysis it was found that the interaction with behaving artifacts, whether as observers or constructors and for both age groups, brought into awareness children’s ToM as well as influenced their ability to understand that robots can behave independently and based on external and environmental conditions. In the qualitative analysis it was found that participating in the intervention influenced the children’s ToAM for both constructors and for the younger observer. Engaging in building the robot’s behavior influenced the children’s ability to explain several of the robots’ behaviors, their understanding of the robot’s script-based behavior and rule-based behavior and the children’s metacognitive development. The theoretical and practical importance of the study is discussed.

This paper identifies areas in the design science research (DSR) subfield of the information systems (IS) discipline where a more detailed consideration of practitioner audiences of socio-technical design artifacts could improve current IS DSR research practice and proposes an initial conceptualization of these audiences. The consequences of not considering artifact audiences are identified through a critical appraisal of the current informing science lenses in the IS DSR literature. There are specific shortcomings in four areas: 1) treating practice stakeholders as a too homogeneous group, 2) not explicitly distinguishing between social and technical parts of socio-technical artifacts, 3) neglecting implications of the artifact abstraction level, and 4) a lack of explicit consideration of a dynamic or evolutionary fitness perspective of socio-technical artifacts. The findings not only pave the way for future research to further improve the conceptualization of artifact audiences, in order to improve the informing power – and thus, impact on practice and research relevance – of IS DSR projects; they can also help to bridge the theory-practice gap in other disciplines (e.g. computer science, engineering, or policy-oriented sociology) that seek to produce social and/or technical artifacts of practical relevance.

Aim/Purpose: To discuss the Design Science Research approach by comparing some of its canons with observed practices in projects in which it is applied, in order to understand and structure it better. Background: Recent criticisms of the application of the Design Science Research (DSR) approach have pointed out the need to make it more approachable and less confusing to overcome deficiencies such as the unrealistic evaluation. Methodology: We identified and analyzed 92 articles that presented artifacts developed from DSR projects and another 60 articles with preceding or subsequent actions associated with these 92 projects. We applied the content analysis technique to these 152 articles, enabling the preparation of network diagrams and an analysis of the longitudinal evolution of these projects in terms of activities performed and the types of artifacts involved. Contribution: The content analysis of these 152 articles enabled the preparation of network diagrams and an analysis of the longitudinal evolution of these projects in terms of the activities and types of artifacts involved. Evidence was found of a precedence hierarchy among different types of artifacts, as well as nine new opportunities for entry points for the continuity of DSR studies. Only 14% of the DSR artifacts underwent an evaluation by typical end users, characterizing a tenth type of entry point. Regarding the evaluation process, four aspects were identified, which demonstrated that 86% of DSR artifact evaluations are unrealistic. Findings: We identified and defined a set of attributes that allows a better characterization and structuring of the artifact evaluation process. Analyzing the field data, we inferred a precedence hierarchy for different artifacts types, as well as nine new opportunities for entry points for the continuity of DSR studies. Recommendation for Researchers: The four attributes identified for analyzing evaluation processes serve as guidelines for practitioners and researchers to achieve a realistic evaluation of artifacts. Future Research: The nine new entry points identified serve as an inspiration for researchers to give continuity to DSR projects.

Artifacts and human remains taken by a Norwegian explorer and anthropologist in the late 1940s are being returned by a museum in Oslo to Chile's remote territory of Easter Island in the mid-Pacific, the Kon-Tiki Museum said Wednesday.

Bone material contains a hierarchical network of micro- and nano-cavities and channels, known as the lacuna-canalicular network (LCN), that is thought to play an important role in mechanobiology and turnover. The LCN comprises micrometer-sized lacunae, voids that house osteocytes, and submicrometer-sized canaliculi that connect bone cells. Characterization of this network in three dimensions is crucial for many bone studies. To quantify X-ray Zernike phase-contrast nanotomography data, deep learning is used to isolate and assess porosity in artifact-laden tomographies of zebrafish bones. A technical solution is proposed to overcome the halo and shade-off domains in order to reliably obtain the distribution and morphology of the LCN in the tomographic data. Convolutional neural network (CNN) models are utilized with increasing numbers of images, repeatedly validated by `error loss' and `accuracy' metrics. U-Net and Sensor3D CNN models were trained on data obtained from two different synchrotron Zernike phase-contrast transmission X-ray microscopes, the ANATOMIX beamline at SOLEIL (Paris, France) and the P05 beamline at PETRA III (Hamburg, Germany). The Sensor3D CNN model with a smaller batch size of 32 and a training data size of 70 images showed the best performance (accuracy 0.983 and error loss 0.032). The analysis procedures, validated by comparison with human-identified ground-truth images, correctly identified the voids within the bone matrix. This proposed approach may have further application to classify structures in volumetric images that contain non-linear artifacts that degrade image quality and hinder feature identification.

In antiquity, Pb was a common element added in the production of large bronze artifacts, especially large statues, to impart fluidity to the casting process. As Pb does not form a solid solution with pure Cu or with the Sn–Cu alloy phases, it is normally observed in the metal matrix as globular droplets embedded within or in interstitial positions among the crystals of Sn-bronze (normally the α phase) as the last crystallizing phase during the cooling process of the Cu–Sn–Pb ternary melt. The disequilibrium Sn content of the Pb droplets has recently been suggested as a viable parameter to detect modern materials [Shilstein, Berner, Feldman, Shalev & Rosenberg (2019). STAR Sci. Tech. Archaeol. Res. 5, 29–35]. The application assumes a time-dependent process, with a timescale of hundreds of years, estimated on the basis of the diffusion coefficient of Sn in Pb over a length of a few micrometres [Oberschmidt, Kim & Gupta (1982). J. Appl. Phys. 53, 5672–5677]. Therefore, Pb inclusions in recent Sn-bronze artifacts are actually a metastable solid solution of Pb–Sn containing ∼3% atomic Sn. In contrast, in ancient artifacts, unmixing processes and diffusion of Sn from the micro- and nano-inclusions of Pb to the matrix occur, resulting in the Pb inclusions containing a substantially lower or negligible amount of Sn. The Sn content in the Pb inclusions relies on accurate measurement of the lattice parameter of the phase in the Pb–Sn solid solution, since for low Sn values it closely follows Vegard's law. Here, several new measurements on modern and ancient samples are presented and discussed in order to verify the applicability of the method to the detection of modern artwork pretending to be ancient.

A Nikon Metrology XT H 225 ST computed tomography imaging system at the University of Arkansas is enabling non-destructive, 2D and 3D study of the inside as well as the outside of a wide variety of objects. Download the white paper to read more.

Location: Main Library- TJ114.A65 2015

Location: Electronic Resource- 

1840: Removal of More Artifacts from Nineveh

Historic embroideries back on display after epic ten year restoration.

Guests have a rare opportunity to glimpse Boulder artifacts during a private tour of the Museum of Boulder’s Collections Facility, where out-of-commission museum objects go to rest when they’re not on display.

Could the Solar System host traces of other intelligent life?

The Dutch seized the majority of the items in the aftermath of a brutal 1906 conflict that killed an estimated 1,000 Balinese

The Shipwreck Treasure Museum in Cornwall, England, is selling its collection, which includes items connected to nearly 150 shipwrecks

The Manhattan district attorney's office has obtained an arrest warrant for Edoardo Almagià, who has been accused of working with looters and dealing stolen artifacts for years

Cenotes in the Yucatán Peninsula are time capsules preserving remnants of Maya culture and fossils of extinct megafauna

A new exhibition at the British Library explores the public, private and spiritual lives of such figures as Joan of Arc, Christine de Pizan and Hildegard of Bingen

By comparing early markings used for business purposes to 'proto' cuneiform, we can say language transitioned from symbols to writing.

Eugene, Oregon : Cascade Books, [2019]

As a coastal archaeologist and expert in prehistoric and historic settlement sites in the Chesapeake Bay region, Darrin Lowery of the Smithsonian’s National Museum of Natural History and University of Deleware, is carefully watching the effects of coastal erosion and rising sea levels on coastal archaeological sites.

The post Rising seas, development are altering prehistoric artifacts in the Chesapeake’s tidal zone appeared first on Smithsonian Insider.

In an excerpt from “60 Minutes” on Sunday, Nov. 1 2016, Scott Pelley follows National Museum of African American History and Culture director Lonnie Burch […]

The post Slave Ship Artifacts Recovered appeared first on Smithsonian Insider.

A team of psychologists, kinesiologists and archaeologists at Indiana University and elsewhere are throwing new light on a longstanding archaeological mystery: the purpose of a large number of spherical stone artifacts found at a major archaeological site in South Africa.

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Systems, Apparatus, methods, and computer program products are provided for converting an existing artifact to one or more new artifacts. For example, in one embodiment, a computing device can receive input identifying an existing artifact for conversion to one or more new artifacts. One or more items from the existing artifact and their respective types can be identified for conversion. Then, the one or more items of the existing artifact can be converted to one or more new artifacts.

A method for recommending at least one artifact to an artifact user is described. The method includes obtaining user characteristic information reflecting preferences, particular to the artifact user, as to a desired artifact. The method also includes obtaining first metadata about each of one or more candidate artifacts, and scoring, as one or more scored artifacts, each of the one or more candidate artifacts by evaluating one or more criteria, not particular to the artifact user, applied to the first metadata. The method further includes scaling, as one or more scaled artifacts, a score of each of the one or more scored artifacts, by evaluating the suitability of each of the one or more scored artifacts in view of the user characteristic information. The method lastly includes recommending to the artifact user at least one artifact from among the one or more scaled artifacts based on its scaled score.

A method is provided. The method includes acquiring a first dataset at a first energy spectrum and a second dataset at a second energy spectrum. The method also includes extracting a metal artifact correction signal using the first dataset and the second dataset or using a first reconstructed image and a second reconstructed image generated respectively from the first and the second datasets. The method further includes performing metal artifact correction on the first reconstructed image using the metal artifact correction signal to generate a first corrected image.

There is a lot of unstructured text content that is generated in any domain – software development lifecycle, finance, healthcare, social media, etc. Valuable insights can be generated by analyzing unstructured text content and correlating the information across various document sources. This pattern uses Watson Natural Language Understanding, Python Natural Language Toolkit, OrientDB, Node-RED, and IBM Data Science Experience to build a complete analytics solution that generates insights for informed decision-making.

Items recovered include fossils, paintings, ancient coins, ceramics and jewelry

Lendbreen, a pass high in the Norwegian mountains, was an important route from the Roman era until the late Middle Ages

On this week’s show, host Joel Goldberg talks with science journalist Andrew Curry about archaeological finds from thousands of years ago along the shores of Northern Europe. Curry outlines the rich history of the region that scientists, citizen scientists, and energy companies have helped dredge up. Also this week, from a recording made at this year’s AAAS annual meeting in Seattle, host Meagan Cantwell speaks with Elizabeth Margulis, a professor at Princeton University, about musical memory. Margulis explains what research tells us about how our brains process music, and dives into her own study on how Western and non-Western audiences interpret the same song differently. This week’s episode was edited by Podigy. Download a transcript (PDF) Listen to previous podcasts. About the Science Podcast [Image: Sebastian Reinecke/Flickr; Music: Jeffrey Cook] 

Interview with Barbara A Blodi, MD, author of Prevalence and Severity of Artifacts in Optical Coherence Tomographic Angiograms