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This update, includes how you might recycle aluminium at volume.
20240507 Prototyping Recycling Aluminium.docx
20240507 Prototyping Recycling Aluminium.docx
Sharon Liu
How to bend backwards, and also step onto the bed from just under a metre away.
20240408 Bending Backwards to the Second Step Up.docx
20240408 Bending Backwards to the Second Step Up.docx
Sharon Liu
Technologies and equations required, for the first version of a car driving simulator.
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
Sharon Liu
ACMJ is a computer project, which stands for Apache, CSharp, MySQL and JavaScript stack and server. This document shows early prototyping, of the hardware.
20240315 ACMJ Diagrams Set 2.docx . With light, motor, coloured light, and se...
20240315 ACMJ Diagrams Set 2.docx . With light, motor, coloured light, and se...
Sharon Liu
Updated CV.
SL CV 20240312.docx . Sharon Xiao Liu's Curriculum Vitae.
SL CV 20240312.docx . Sharon Xiao Liu's Curriculum Vitae.
Sharon Liu
How I jump, from the fifth step up.
20240308 Jumping from the Fifth step up.docx
20240308 Jumping from the Fifth step up.docx
Sharon Liu
The use of the axle rotation technique, to rotate a torus.
20240206 Rotated Torus and Full Rotated Sphere 45 degrees down 45 left.docx
20240206 Rotated Torus and Full Rotated Sphere 45 degrees down 45 left.docx
Sharon Liu
Further mind preparation, for the two-footed jump on ice. Also, a brief update, on the roller skating.
20231218 Plan for Two-Footed Jump on Ice.docx
20231218 Plan for Two-Footed Jump on Ice.docx
Sharon Liu
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This update, includes how you might recycle aluminium at volume.
20240507 Prototyping Recycling Aluminium.docx
20240507 Prototyping Recycling Aluminium.docx
Sharon Liu
How to bend backwards, and also step onto the bed from just under a metre away.
20240408 Bending Backwards to the Second Step Up.docx
20240408 Bending Backwards to the Second Step Up.docx
Sharon Liu
Technologies and equations required, for the first version of a car driving simulator.
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
20240319 Car Simulator Plan.pptx . Plan for a JavaScript Car Driving Simulator.
Sharon Liu
ACMJ is a computer project, which stands for Apache, CSharp, MySQL and JavaScript stack and server. This document shows early prototyping, of the hardware.
20240315 ACMJ Diagrams Set 2.docx . With light, motor, coloured light, and se...
20240315 ACMJ Diagrams Set 2.docx . With light, motor, coloured light, and se...
Sharon Liu
Updated CV.
SL CV 20240312.docx . Sharon Xiao Liu's Curriculum Vitae.
SL CV 20240312.docx . Sharon Xiao Liu's Curriculum Vitae.
Sharon Liu
How I jump, from the fifth step up.
20240308 Jumping from the Fifth step up.docx
20240308 Jumping from the Fifth step up.docx
Sharon Liu
The use of the axle rotation technique, to rotate a torus.
20240206 Rotated Torus and Full Rotated Sphere 45 degrees down 45 left.docx
20240206 Rotated Torus and Full Rotated Sphere 45 degrees down 45 left.docx
Sharon Liu
Further mind preparation, for the two-footed jump on ice. Also, a brief update, on the roller skating.
20231218 Plan for Two-Footed Jump on Ice.docx
20231218 Plan for Two-Footed Jump on Ice.docx
Sharon Liu
Still investigating, how to do the two-footed jump. I did ice skate, yesterday.
20231130 Ice skating Unsupported.docx
20231130 Ice skating Unsupported.docx
Sharon Liu
How to do a two-footed jump, on ice.
20231102 Plan for Ice Skating.docx
20231102 Plan for Ice Skating.docx
Sharon Liu
The plot of the final rotated sphere, which was an upright sphere, rotated 45 degrees down, and 45 degrees to the left (the viewer's left).
20231017 xy view of Rotated 45 degrees down and 45 left Sphere.docx
20231017 xy view of Rotated 45 degrees down and 45 left Sphere.docx
Sharon Liu
Plot of bands on a sphere. The sphere has been rotated 45 degrees down.
20231006 Sphere rotated 45 degrees down.docx
20231006 Sphere rotated 45 degrees down.docx
Sharon Liu
How to recycle air-dried clay.
20230904 Recycling Clay.docx
20230904 Recycling Clay.docx
Sharon Liu
More on the rotated sphere, especially the ellipse that is the equator.
20230831 a of the equator - Rotated sphere.docx
20230831 a of the equator - Rotated sphere.docx
Sharon Liu
Rotated radial plot of an ellipse.
20230829 Rotated Ellipse.docx
20230829 Rotated Ellipse.docx
Sharon Liu
This presentation, is about pure recall. Well, nothing is ever truly about pure recall, because if you do pure recall, you get really worried, and automatically memorise.
20230819 Recall Tests.pptx
20230819 Recall Tests.pptx
Sharon Liu
Ordinary and radial plots of ellipses.
20230810 Radial Plot of an Ellipse.docx
20230810 Radial Plot of an Ellipse.docx
Sharon Liu
The north and south poles, of the rotated sphere (rotated 45 degrees down, and 45 degrees clockwise horizontal). Also, the centres of the haloes of the upright sphere, on the xy projection. Started the calculation, for the centres of the rotated sphere.
20230809 South Pole of the Rotated Sphere.docx
20230809 South Pole of the Rotated Sphere.docx
Sharon Liu
The position of the new North Pole, with the sphere rotated 45 degrees down, and 45 degrees clockwise horizontally.
20230804 Rotated Sphere with new North Pole.docx
20230804 Rotated Sphere with new North Pole.docx
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2D projection of a 3D sphere, which is horizontal.
20230802 Horizontal Sphere.docx
20230802 Horizontal Sphere.docx
Sharon Liu
Replot of the 3D upright sphere, using angle coordinates, from the North Pole, and not the centrepoint (as was previously done).
20230727 Upright Sphere from North Pole.docx
20230727 Upright Sphere from North Pole.docx
Sharon Liu
Equation and length of a 3D line.
20230724 3D Off Centre Line.docx
20230724 3D Off Centre Line.docx
Sharon Liu
Trying to draw a skewed ellipse, as part of a rotated sphere.
20230710 Skewed Ellipse.docx
20230710 Skewed Ellipse.docx
Sharon Liu
Polar coordinate plots. This will eventually help plot out the 2D projection, of a 3D torus. Each dot is associated, with a y value (to be calculated).
20230704 Torus Polar Plots.docx
20230704 Torus Polar Plots.docx
Sharon Liu
Working towards the 2D projection, of a 3D torus.
20230623 Torus Tangent Typeup.docx
20230623 Torus Tangent Typeup.docx
Sharon Liu
Four diagrams, of ACMJ early prototypes.
20230613 ACMJ Diagrams.docx
20230613 ACMJ Diagrams.docx
Sharon Liu
Plots and related plots of a torus.
20230512 Torus Equations.docx
20230512 Torus Equations.docx
Sharon Liu
How to talk constantly.
20230503 Talking Constantly.pptx
20230503 Talking Constantly.pptx
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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.
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Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.
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2D projection of a 3D sphere, which is horizontal.
20230802 Horizontal Sphere.docx
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Replot of the 3D upright sphere, using angle coordinates, from the North Pole, and not the centrepoint (as was previously done).
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Equation and length of a 3D line.
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20230724 3D Off Centre Line.docx
Sharon Liu
Trying to draw a skewed ellipse, as part of a rotated sphere.
20230710 Skewed Ellipse.docx
20230710 Skewed Ellipse.docx
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Polar coordinate plots. This will eventually help plot out the 2D projection, of a 3D torus. Each dot is associated, with a y value (to be calculated).
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Sharon Liu
Working towards the 2D projection, of a 3D torus.
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Plots and related plots of a torus.
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20230512 Torus Equations.docx
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20230904 Recycling Clay.docx
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20230810 Radial Plot of an Ellipse.docx
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20230804 Rotated Sphere with new North Pole.docx
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20230802 Horizontal Sphere.docx
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20230727 Upright Sphere from North Pole.docx
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20230724 3D Off Centre Line.docx
20230710 Skewed Ellipse.docx
20230710 Skewed Ellipse.docx
20230704 Torus Polar Plots.docx
20230704 Torus Polar Plots.docx
20230623 Torus Tangent Typeup.docx
20230623 Torus Tangent Typeup.docx
20230613 ACMJ Diagrams.docx
20230613 ACMJ Diagrams.docx
20230512 Torus Equations.docx
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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Steffen Staab
Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.
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Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
harshavardhanraghave
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In an era where security concerns are paramount, the integration of artificial intelligence (AI) into CCTV cameras has revolutionized surveillance capabilities. One of the most significant advancements is the ability to achieve real-time threat detection, enabling immediate responses to potential security breaches. This blog explores how AI is reshaping surveillance through real-time threat detection and the implications of this technology.
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A great deal of attention in medical devices has shifted towards cybersecurity with the ratification of section 524B of the FD&C act. This new law enables the FDA to enforce cybersecurity controls in any medical device that is capable of networked communications or that has software. In this webinar we will recap the process for managing vulnerabilities, identify categories of vulnerabilities and solutions and more.
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Review of Paper "The Rise and Potential of Large Language Model Based Agents: A Survey".
Unlocking the Future of AI Agents with Large Language Models
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At TECUNIQUE, we're a stable and steadily growing Indian software services company with over 14 years of industry experience. Specializing in offshore software development and quality assurance services, we've built a reputation for delivering unique and effective solutions to start-ups, software development companies, enterprises, and digital agencies. We pride ourselves on our commitment to excellence and innovation. By blending insightful business domain knowledge with exceptional technical prowess, we craft tailor-made solutions that meet the unique needs of our clients. Our dedicated teams are adept in specific technologies, ensuring seamless integration of skills and delivering reliable, scalable, and high-quality software solutions aligned with our clients' preferences. Bespoke Dedicated Teams: Crafted to meet your specific needs and technology preferences, our dedicated teams are committed to delivering top-notch software solutions. Offshore Software Development: Accelerate your software development and scale up quickly with our 12+ years of expertise in offshore development. Quality Assurance Services: Ensure the quality of your software products with our dedicated teams of experienced QA professionals. IT Staff Augmentation: Overcome skill gaps with our client-centric software team, offering staff augmentation services. Expert Software Services: Unlock our capabilities in custom software development, product development, and quality assurance. Mission and Vision: Our mission at TECUNIQUE is to be the catalyst for our clients' success in the dynamic domain of software development. Rooted in our core values of respect, authenticity, and responsibility, we strive to ease the software outsourcing experience, reducing both time and cost to market for our clients. We envision ourselves as the leading Indian software services company, renowned for our unwavering commitment to excellence and innovation. www.tecunique.com
TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
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Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
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Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
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In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
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How To Use Server-Side Rendering with Nuxt.js
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How To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
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5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf
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TECUNIQUE: Success Stories: IT Service provider
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