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🌟Are you an engineer with proficiency in C/C++ and a solid understanding of mathematics (including linear algebra) and algorithms? Do you possess strong intermediate English skills? If so, our free Platform Optimization Course is designed for you! What You'll Learn: 🔵Architecture: Understanding the core structures that underpin modern computing platforms. 🔵Assembly: Gaining proficiency in assembly language to optimize performance at the most granular level. 🔵SIMD Core: Leveraging Single Instruction, Multiple Data (SIMD) for efficient data processing. Platform Optimization Approaches: 🔵Instruction Level Optimization 🔵Algorithmic Optimizations 🔵Memory Management: 🔵Hardware Specific Optimizations 🔵CUDA 👉Register here: https://lnkd.in/et33UZRn 🕖Registration Deadline: June 20 🚀Don’t miss this opportunity to take the first step towards mastering low-level programming and optimization techniques!
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Software Engineer, AI Modeling at AMD | Top Voice | Applied Data Science at SJSU | Ex-PharmEasy, Capillary, Saras Analytics
Hello Folks, Hope you're all doing well. I am happy to let you all know that I will continue working on the same 'Signal Debugging' Problem statement as a AI Modeling Fall Co-op at AMD for Fall 2024 with the Debug tools team, here at Austin. I would like to thank Jitendra Patil, MBA for his continued support, and this opportunity. I believe this opportunity will be crucial to shape my career as a Data Geek here in the US. Hoping to make significant impact with my experience, knowledge, and skill set. I was exploring High dimensional clustering techniques due to the nature of the Problem statement, including Projected/Subspace clustering concepts like CLIQUE, MAFIA, and others. I am very new to these concepts, so it would be great to listen your thoughts on the same. Special thanks to Professors at San Jose State University, for equipping me with the required knowledge, and skillset to confidently plan and pursue such a challenging and exciting problem. #DataScience #AI #ML #Mining #Data #Fall #Coop #Graduate #Analytics #growth #problems
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Master's at University of Bristol | MSc. Advance Microelectronics Systems | Bristol Plus Award | B.Tech Graduate in Electronics and Communication Engineering (INDIA)
Project Title: Advanced DSP – Goertzel Algorithm Implementation Project Description: As part of my Advanced Digital Signal Processing (DSP) course at the University of Bristol, I successfully implemented and optimized the Goertzel algorithm to efficiently detect specific frequency components within a signal. This project demonstrated the algorithm's practical application in real-time systems, particularly those with constrained computational resources. 🔑 Key Highlights: - 📈 Single Frequency Detection: - Developed a C program to detect a specific frequency within a signal using the Goertzel algorithm. - Ensured accuracy through rigorous testing and frequency magnitude visualization. - 📞 DTMF Signal Decoding: - Expanded the algorithm to decode all 15 DTMF (Dual-Tone Multi-Frequency) digits used in telecommunication systems. - Successfully decoded an 8-digit tone from a binary data file and generated a corresponding audio file, ensuring precise results. -⚡ Performance Optimization: - Enhanced the algorithm's efficiency using compiler optimizations and intrinsic functions. - Achieved significant reductions in computational cycles, demonstrating improved performance for multi-frequency detection tasks. 🛠 Technologies and Tools Used: - Programming Language: C - DSP Concepts: Frequency Analysis, DTMF Decoding, Real-Time Signal Processing - Optimization Techniques: Compiler Intrinsics, Code Optimization Flags 🏆 Achievements: - Demonstrated the computational efficiency and simplicity of the Goertzel algorithm for real-time frequency detection. - Validated the algorithm's effectiveness in detecting DTMF tones, critical for automated call routing and interactive voice response (IVR) systems. - Realized notable performance improvements, highlighting the importance of targeted optimizations in DSP applications. 🌟 Project Impact: This project provided an in-depth understanding of the Goertzel algorithm's principles and practical applications in modern telecommunications and signal processing systems. The successful implementation and optimization emphasize the algorithm's potential for use in real-time systems with limited processing power. #DigitalSignalProcessing #GoertzelAlgorithm #FrequencyDetection #RealTimeSystems #EmbeddedSystems #DTMFDecoding #SignalProcessing #Telecommunications #AlgorithmOptimization #CompilerOptimizations #CProgramming #DSPApplications #FrequencyAnalysis #IVRSystems #TechInnovation #EngineeringProjects #UniversityofBristol #UniversityofBristolEngineering #FutureEngineers #AdvancedDSP #AcademicProjects #Efficiency #PerformanceOptimization #SoftwareDevelopment #RealTimeApplications #DigitalFilters
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🌟Are you an engineer with proficiency in C/C++ and a solid understanding of mathematics (including linear algebra) and algorithms? Do you possess strong intermediate English skills? If so, hurry up and register for our free Platform Optimization Course! 🔥🔥The top 6 participants of the course will receive guaranteed employment! What You'll Learn: 🔵Architecture: Understanding the core structures that underpin modern computing platforms. 🔵Assembly: Gaining proficiency in assembly language to optimize performance at the most granular level. 🔵SIMD Core: Leveraging Single Instruction, Multiple Data (SIMD) for efficient data processing. Platform Optimization Approaches: 🔵Instruction Level Optimization 🔵Algorithmic Optimizations 🔵Memory Management: 🔵Hardware Specific Optimizations 🔵CUDA 👉Register here: https://lnkd.in/eC9yyTCk 🚀Don’t miss this opportunity to take the first step towards mastering low-level programming and optimization techniques!
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Computer science and engineering are closely related fields that share some similarities but also have distinct differences. Both computer science and engineering involve problem-solving and the use of technology to create solutions. They both require a strong foundation in mathematics and logic, as well as the ability to think critically and analytically. One of the main differences between computer science and engineering is the focus of each field. Computer science is more concerned with the theory and algorithms behind computer systems, while engineering is more focused on the practical application of technology to solve real-world problems. Another difference is the tools and techniques used in each field. Computer scientists often work with software and programming languages, while engineers may work with hardware and physical systems. Despite these differences, computer science and engineering often overlap, with professionals in both fields working together to create innovative solutions. Overall, both fields play a crucial role in advancing technology and shaping the future. 💻🌐🖥️📱⚡🛠️🏗🔩 #computersciencefacts #engineeringcomparison #similaritiesanddifferences #thisorthat #codingversushardware #softwareengineering #techdebate #STEMcomparison #computersciencechallenges #techthisorthat
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Developers of quantum algorithms and software Physicists, Mathematicians, Chemists, Software Engineers, Data Scientists or related discipline to join our team to develop quantum algorithms, quantum software solutions and hybrid (classical/quantum) information systems to solve business application problems using our quantum software platform and architectures. Join Us https://lnkd.in/dewBxrmN #quantum #quantumcomputing #quantumprogramming #quantumsoftwareengineering #qpath #quantumpath #qst
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A human can learn to drive a car or bike within 10/20 hours. An A.I. model is yet to drive a car after trillions of dollars and numerous tests. It will be capable of driving but not yet. Not in the next 20 years. In next 50 years? May be. So those who are constantly buzzing with alarms on possible threats from A.I. and wants regulation around the development of A.I. are actually self servicing. Don't believe founders/promoters of companies who do not have their skin on development of frontier technologies. listen to scientists and engineers who are running the show from behind. And those who are spelling the doom for software engineers, they need to know that for the progress of computer science we need a lot of people into the fields of materials science and physics. And a lot more programmers who have a deep understanding of mathematics. I don't see any shortage in demand of good software developers who can think. Don't trust me with my words. I am a nobody. Trust your brain. Trust your intuition.
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🤩 I recently committed some code to introduce a new fault type — manipulating CPU scheduling through cgroup cpu.weight and cpu.max controllers — to the suite of faults our autonomous testing platform can apply to a system under test. A colleague asked me “Does it work?” 🤔 . “Yes it works — I can see the values of the cgroup interface files changing and I can see the impact on the affected services.” “I mean, Is it effective as a bug hunting technique? Do we see more coverage edges? Or straight up more bugs?” 🐜 🐜 🚀 This was the start of my journey in a new role with a group in the company set up to ask — and answer — questions like this. The group ethos is to be as scientific as possible: establish a hypothesis, design an experiment with clear and repeatable processes, collect and analyse data, draw conclusions. This is a great opportunity for me to apply my software development experience while learning a new approach to problem solving and investigation (controlled, multi-variate experiments). I am learning tons from my fellow research engineers, levelling up my data science chops and satisfying my curiosity itch. 🚀 About that new fault type? Early experiments show that there are cases where it is effective — I’m seeing less similarity (using Jaccard similarity) across various measures between control groups and treatment groups — but it isn’t universally effective. More investigation required. 🔍 #softwaretesting #bughunting #softwaredevelopment #research #jaccard #autonomoustesting
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🌟Are you an engineer with proficiency in C/C++ and a solid understanding of mathematics (including linear algebra) and algorithms? Do you possess strong intermediate English skills? If so, hurry up and register for our free Platform Optimization Course! What You'll Learn: 🔵Architecture: Understanding the core structures that underpin modern computing platforms. 🔵Assembly: Gaining proficiency in assembly language to optimize performance at the most granular level. 🔵SIMD Core: Leveraging Single Instruction, Multiple Data (SIMD) for efficient data processing. Platform Optimization Approaches: 🔵Instruction Level Optimization 🔵Algorithmic Optimizations 🔵Memory Management: 🔵Hardware Specific Optimizations 🔵CUDA 👉Register here: https://lnkd.in/et33UZRn 🕖Registration Deadline: June 20 🚀Don’t miss this opportunity to take the first step towards mastering low-level programming and optimization techniques!
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