The document discusses some of the key discoveries that led to the development of the digital world. It describes the invention of the microchip in 1958 by Jack Kilby and Robert Noyce, which became the heart of electronics. It also discusses how the Soviet Union launching a satellite spurred President Eisenhower to create the Advanced Research Projects Agency (ARPA) in 1958 to give the US a technological edge, with one goal being advancing computer science. The document then summarizes how ARPA researchers in the 1970s worked to connect ARPA's computer network to other networks using packet radio, thereby helping to create the early foundations of the internet.
Mitchell Zylstra was born on November 8, 1923 and passed away on June 20, 2005. He attended Kansas State University and had a notable career in engineering and technology. Some of his major accomplishments include describing the digital integrated circuit in 1958 while working at Texas Instruments, receiving numerous prestigious awards including the National Medal of Science and National Medal of Technology, and making significant contributions to the development of thick film and thin film hybrid circuit technologies.
John Bardeen was born in 1908 in Madison, Wisconsin. He made groundbreaking discoveries in semiconductors and was part of the team that invented the transistor at Bell Labs in 1947. He received the Nobel Prize in Physics twice - in 1956 for his work on the transistor and in 1972 for developing the BCS theory of superconductivity with Leon Cooper and John Schrieffer. He died in 1991 in Boston, Massachusetts.
The document discusses the bipolar junction transistor (BJT), including its history, operation, and applications. A BJT has three terminals - the base, collector, and emitter - and allows current to flow between the collector and emitter when a small base current is applied. It can be used to amplify signals and operate in different modes like active, cut-off, and saturation depending on terminal voltages. Common configurations include common base, common emitter, and common collector, which differ in their input/output impedances, current/voltage gain, and other properties. The BJT was a pivotal invention that enabled solid-state electronics and the information age.
Linus Pauling nació en Estados Unidos y fue un destacado bioquímico y activista. Recibió el Premio Nobel de Química en 1954 por su trabajo en química cuántica y determinación de la estructura de proteínas y cristales. Pauling realizó importantes contribuciones en campos como la química cuántica, inorgánica y orgánica, biología molecular, inmunología y más. Fue pionero en el estudio de la estructura de proteínas y ácidos nucleicos como el ADN.
Frederick Sanger was born in 1918 in England and raised as a Quaker. He studied biochemistry and worked to determine the structure of proteins. In 1951, he determined the complete amino acid sequence of insulin, proving that proteins have unique sequences. He later developed methods to sequence nucleic acids, determining sequences for tRNA and RNA molecules. In 1977, he helped sequence the first complete genome of an organism using the "dideoxy" method. For his work developing methods to determine protein and DNA sequences, Sanger received two Nobel Prizes in Chemistry.
This document introduces oscillator circuits. It defines an oscillator as an electronic circuit that produces a repetitive, oscillating electronic signal. There are two main types of electronic oscillators: linear/harmonic oscillators that produce a sinusoidal output and nonlinear/relaxation oscillators that produce a non-sinusoidal output. Several common linear oscillator circuits are described such as the Hartley, Colpitts, Clapp, phase-shift, RC, and cross-coupled LC oscillators. Relaxation oscillator circuits include multivibrators, ring oscillators, and delay line oscillators. Applications of harmonic oscillators include carrier waves in transmitters and changing modulation in radios. Relaxation oscillators are often used as timers
The document discusses some of the key discoveries that led to the development of the digital world. It describes the invention of the microchip in 1958 by Jack Kilby and Robert Noyce, which became the heart of electronics. It also discusses how the Soviet Union launching a satellite spurred President Eisenhower to create the Advanced Research Projects Agency (ARPA) in 1958 to give the US a technological edge, with one goal being advancing computer science. The document then summarizes how ARPA researchers in the 1970s worked to connect ARPA's computer network to other networks using packet radio, thereby helping to create the early foundations of the internet.
Mitchell Zylstra was born on November 8, 1923 and passed away on June 20, 2005. He attended Kansas State University and had a notable career in engineering and technology. Some of his major accomplishments include describing the digital integrated circuit in 1958 while working at Texas Instruments, receiving numerous prestigious awards including the National Medal of Science and National Medal of Technology, and making significant contributions to the development of thick film and thin film hybrid circuit technologies.
John Bardeen was born in 1908 in Madison, Wisconsin. He made groundbreaking discoveries in semiconductors and was part of the team that invented the transistor at Bell Labs in 1947. He received the Nobel Prize in Physics twice - in 1956 for his work on the transistor and in 1972 for developing the BCS theory of superconductivity with Leon Cooper and John Schrieffer. He died in 1991 in Boston, Massachusetts.
The document discusses the bipolar junction transistor (BJT), including its history, operation, and applications. A BJT has three terminals - the base, collector, and emitter - and allows current to flow between the collector and emitter when a small base current is applied. It can be used to amplify signals and operate in different modes like active, cut-off, and saturation depending on terminal voltages. Common configurations include common base, common emitter, and common collector, which differ in their input/output impedances, current/voltage gain, and other properties. The BJT was a pivotal invention that enabled solid-state electronics and the information age.
Linus Pauling nació en Estados Unidos y fue un destacado bioquímico y activista. Recibió el Premio Nobel de Química en 1954 por su trabajo en química cuántica y determinación de la estructura de proteínas y cristales. Pauling realizó importantes contribuciones en campos como la química cuántica, inorgánica y orgánica, biología molecular, inmunología y más. Fue pionero en el estudio de la estructura de proteínas y ácidos nucleicos como el ADN.
Frederick Sanger was born in 1918 in England and raised as a Quaker. He studied biochemistry and worked to determine the structure of proteins. In 1951, he determined the complete amino acid sequence of insulin, proving that proteins have unique sequences. He later developed methods to sequence nucleic acids, determining sequences for tRNA and RNA molecules. In 1977, he helped sequence the first complete genome of an organism using the "dideoxy" method. For his work developing methods to determine protein and DNA sequences, Sanger received two Nobel Prizes in Chemistry.
This document introduces oscillator circuits. It defines an oscillator as an electronic circuit that produces a repetitive, oscillating electronic signal. There are two main types of electronic oscillators: linear/harmonic oscillators that produce a sinusoidal output and nonlinear/relaxation oscillators that produce a non-sinusoidal output. Several common linear oscillator circuits are described such as the Hartley, Colpitts, Clapp, phase-shift, RC, and cross-coupled LC oscillators. Relaxation oscillator circuits include multivibrators, ring oscillators, and delay line oscillators. Applications of harmonic oscillators include carrier waves in transmitters and changing modulation in radios. Relaxation oscillators are often used as timers
John Bardeen was an American physicist and engineer who received two Nobel Prizes, one in 1956 with William Shockley and Walter Brattain for inventing the transistor and one in 1972 for his theory of superconductivity. He enjoyed hosting friends and family for cookouts. Bardeen received his Ph.D. in mathematical physics from Princeton University in 1936 and made significant contributions to the science community through his work and inventions.
John Bardeen was an American physicist and engineer who received two Nobel Prizes, one in 1956 with William Shockley and Walter Brattain for inventing the transistor and one in 1972 for his theory of superconductivity. He enjoyed hosting friends and family for cookouts. Bardeen received his Ph.D. in mathematical physics from Princeton University in 1936 and made significant contributions to the science community through his work and inventions.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
John Bardeen was an American physicist and engineer who received two Nobel Prizes, one in 1956 with William Shockley and Walter Brattain for inventing the transistor and one in 1972 for his theory of superconductivity. He enjoyed hosting friends and family for cookouts. Bardeen received his Ph.D. in mathematical physics from Princeton University in 1936 and made significant contributions to the science community through his work and inventions.
John Bardeen was an American physicist and engineer who received two Nobel Prizes, one in 1956 with William Shockley and Walter Brattain for inventing the transistor and one in 1972 for his theory of superconductivity. He enjoyed hosting friends and family for cookouts. Bardeen received his Ph.D. in mathematical physics from Princeton University in 1936 and made significant contributions to the science community through his work and inventions.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).