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piemrengg · 2 years
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Study Computer Science and Engineering in 4 years full-time program at PIEMR Indore. Become a sincere professional, keen learner, motivated, and follower of ethical practices. 100% Best Placement.
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touchh-me-not · 4 months
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Data structures is fine but tell me how brain stores and retrieves memory
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studaxy · 4 months
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3rd June, Monday, 2024
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3:00pm: its been a successful two hours of studying with @a-fox-studies and now coding is a little less intimidating!! I didn't do math yet yes I got distracted but like it was a wednesday but I'm going to make bread from scratch today and I've heard you need to wait for it to proof multiple times so maybe I can do it then! here's to multitasking T_T
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cozy-learner-lounge · 8 months
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Recently I have been studying Gate Previous Year exam paper. I'm so scared I don't know what's gonna happen 😭
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desi-yearning · 2 months
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Are there any CSE folks here😭
I'm gonna take up CSE but I'm not sure about the specialisation part so I want to know more so please lemme know if there's anyone, thanks <3
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a-fox-studies · 4 months
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Saw your recent post and wondered, are you learning C? If yes, sorry for not knowing that, how it's going? I tried learning it once and it feels oddly simple? I think after you learn so many C-like languages, C itself is like a subset y'know. But I haven't gone deep into memory management at the time, just basic syntax.
It's alright that you didn't know that lol. It's because I don't talk about it much, because I don't like it :P
C programming was taught in my first semester, and @studaxy is starting uni for comp sci engineering soon, so I am giving them some lessons so that they are familiar with the basic stuff.
I myself only know a little bit of C, the rest of it is this huge scary world I do not want to get into XD
(also fun fact, my main programming languages are python and Java, since rn I'm learning GUI programming in python and Android app dev using Java :P)
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https://x.com/EdLanguage/status/1707523633516855591?t=G0OvvlyY_VtCIHER3E5QsA&s=09
#library #libraries #school #schools #CollegeStudent #CollegeFriends #BTEC
qualifications.pearson.com/content/dam/pd…
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Pearson BTEC Level 5 Diploma in Management and Leadership 601/3596/7
What is the purpose of this qualification?
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penthusiastic · 2 years
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Day 1/50
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Spring term of my first year at uni started this week. I had a day off today. I went on a study picnic in our hostel park with my roommate ( @studyingisfunmedh ).
Made notes for Discrete Mathematics and revised what was taught so far. Looking forward to immerse myself in the beauty of learning and studying for this fresh new semester. <3
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mayankmaurya02 · 1 year
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Applying to the B.Tech CSE with Data Science programme at Maharishi University in Noida is the best option if you love technology, are keen to study the huge field of data science, and are ready to further your career. A successful career in data science engineering may be shaped at MUIT Noida because of its comprehensive curriculum, cutting-edge facilities, and extensive industry connections.
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lpuengineering · 1 year
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Top Engineering College in India
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LPU is among the Top Engineering College in India. Admission open 2023-24 for all btech Courses. Check courses eligibility, fee, ranking, placements, syllabus & specialization. LPU is the best single-campus university poised with latest technologies and world class facilities for delivering effective and quality education to the students. The university is regarded as a hub of educational excellence and its academia-industry connect offers students with opportunities like Live and Entrepreneurial projects to enable practice-based and project-oriented learning in students. With more than 200 foreign tie-ups, LPU prepares its students to up skill as per global standards. To meet the industry demands many events like Hackathons, Tech Fests, Competitions etc. are organized on a regular basis. Over the years LPU has become the favourite place for numerous tech corporate giants like Cognizant, Infosys, Microsoft etc. to recruit talent. LPU ranks among the best engineering colleges to pursue an engineering degree.
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Why B.Tech. CSE in Cloud Computing: Top 5 Reasons to Choose B.Tech.CSE in Cloud Computing
Considering a B.Tech CSE with a specialization in Cloud Computing? Discover the top five reasons to choose B.Tech CSE in Cloud Computing! From high demand in the job market to opportunities for innovation and career growth, this degree prepares you for a future-ready career. Gain hands-on experience, develop critical skills, and join a community of tech leaders. Don’t miss out—explore our program today and take the first step toward your dream career!
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smgoi · 9 days
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How AI and Machine Learning Are Shaping the Future of Technology
Artificial Intelligence (AI) and Machine Learning (ML) are two of the most transformative technologies of our time. From powering self-driving cars to enhancing healthcare and automating routine tasks, AI and ML are shaping the future in ways that were once unimaginable. As industries increasingly adopt these technologies, they are becoming a crucial part of technological progress, driving innovation, improving efficiency, and creating entirely new fields of work.
At St. Mary’s Group of Institutions in Hyderabad, we believe it’s important to prepare students for this changing landscape, equipping them with the knowledge and skills necessary to thrive in an AI-driven world. In this blog, we will explore how AI and ML are revolutionizing various sectors and shaping the future of technology.
Together, AI and ML are unlocking new possibilities across industries and pushing the boundaries of what technology can achieve.
Revolutionizing Healthcare
One of the most impactful ways AI and ML are shaping the future is through healthcare innovations. From diagnosing diseases to developing personalized treatment plans, AI is playing a significant role in enhancing healthcare delivery. For example, AI-powered diagnostic tools can analyze medical images like X-rays and MRIs to detect early signs of diseases such as cancer. These systems are often more accurate and faster than human experts.
Machine learning algorithms are also being used to predict patient outcomes, enabling doctors to provide more targeted treatments. Additionally, AI is driving advancements in robot-assisted surgery, where machines assist doctors in performing minimally invasive surgeries with precision.
The integration of AI and ML in healthcare is improving patient care, reducing costs, and saving lives—paving the way for more efficient and effective medical practices in the future.
Transforming Transportation with Autonomous Vehicles
Self-driving cars are one of the most visible applications of AI and ML. These vehicles rely on complex algorithms, sensors, and cameras to navigate roads, avoid obstacles, and make real-time decisions—all without human intervention. Companies like Tesla, Waymo, and Uber are at the forefront of developing autonomous driving technologies, which promise to transform transportation.
Self-driving cars have the potential to reduce traffic accidents, improve fuel efficiency, and increase accessibility for those unable to drive. As AI and ML technologies continue to advance, the vision of a world where autonomous vehicles dominate the roads is becoming more realistic.
Beyond cars, AI is also being used to optimize traffic management systems, reducing congestion and improving transportation efficiency in cities worldwide.
Enhancing Customer Experiences with AI Chatbots
Another significant application of AI is in enhancing customer experiences. AI-powered chatbots are revolutionizing the way businesses interact with their customers. These virtual assistants use natural language processing (NLP) to understand and respond to customer queries, providing 24/7 support without the need for human intervention.
Industries such as e-commerce, banking, and telecommunications are increasingly adopting AI chatbots to handle routine tasks like answering FAQs, processing orders, and resolving issues. These bots improve efficiency and provide faster responses, leading to higher customer satisfaction.
As AI continues to advance, virtual assistants are becoming more sophisticated, capable of handling complex tasks and offering personalized recommendations based on customer preferences and behaviors.
Boosting Efficiency in Manufacturing
The manufacturing industry has embraced AI and ML to enhance productivity and reduce operational costs. AI-powered robots are taking on repetitive and dangerous tasks, allowing human workers to focus on more complex and creative activities. These robots can operate 24/7, boosting efficiency and output.
Machine learning algorithms are also being used to predict equipment failures and optimize maintenance schedules, reducing downtime and saving companies significant costs. Smart factories, driven by AI, are capable of adapting to real-time changes in production needs, improving supply chain management, and minimizing waste.
In the future, we can expect to see even more AI-driven innovations in manufacturing, leading to fully automated production lines and smarter, more efficient operations.
Redefining Education with Personalized Learning
AI and ML are transforming the education sector by making learning more personalized and accessible. With AI-powered educational platforms, students can receive tailored learning experiences based on their strengths, weaknesses, and learning styles. These platforms can adapt to the needs of individual students, providing additional resources or challenges as required.
AI tutors can offer one-on-one assistance, helping students with specific subjects or assignments. This personalized approach to education enhances learning outcomes and makes education more accessible to students worldwide, especially in remote or underserved areas.
As AI continues to advance, we can expect the future of education to be increasingly student-centric, with technology playing a central role in enhancing both teaching and learning experiences.
Accelerating Innovation in Finance
The financial industry is another sector that has seen significant transformation due to AI and ML. From fraud detection to algorithmic trading, AI is making financial systems more secure and efficient. Machine learning models can analyze vast amounts of financial data to detect unusual patterns, helping to prevent fraud before it occurs.
In addition, AI-powered investment algorithms are changing the way people invest. These systems can analyze market trends and predict stock movements, enabling investors to make more informed decisions. AI is also being used to improve customer service in banking, with virtual assistants helping customers manage their accounts and make transactions.
The integration of AI into the financial world is creating more efficient, secure, and personalized banking experiences for customers and businesses alike.
Conclusion
As we move into the future, Artificial Intelligence and Machine Learning will continue to shape the world in profound ways. From revolutionizing healthcare and transportation to enhancing education and finance, these technologies are transforming industries and improving lives. For students and professionals in Computer Science Engineering, mastering AI and ML will be key to thriving in this new era of innovation.
At St. Mary’s Group of Institutions in Hyderabad, best engineering college in Hyderabad, we are dedicated to providing students with the knowledge and skills needed to excel in the world of AI and ML. By embracing these technologies, you can be part of a future where innovation knows no bounds.
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woxsennuniversity · 14 days
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Woxsen University offers an innovative BTech CSE Artificial Intelligence program, designed to equip students with cutting-edge knowledge in AI, machine learning, and data science. This program blends core computer science principles with advanced AI techniques, preparing graduates for the rapidly evolving tech industry. Woxsen’s state-of-the-art facilities and experienced faculty ensure students receive hands-on training in AI applications, programming, and algorithms. With a focus on real-world problem-solving, Woxsen University is a top choice for aspiring engineers looking to excel in the AI-driven world.
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cozy-learner-lounge · 8 months
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I hate coding but then i remember I'm an CS engineering student 😭
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aoenoida · 16 days
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adayiniilm · 24 days
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What is Deep fake videos?
Deepfake videos employ AI methods, particularly deep learning, to produce authentic-looking fake videos by exchanging faces or modifying audio to imitate an individual's appearance and vocal patterns. This technology is capable of producing very compelling visual and auditory alterations that can create the illusion that a person is performing actions or speaking in ways they never truly engaged in.Although deepfakes can be beneficial for entertainment or education, they are frequently abused for spreading misinformation, committing fraud, or defamation.
The emergence of deepfakes has caused worries regarding privacy, consent, and the ability of these videos to erode confidence in digital media. There are current efforts to create detection methods and put in place regulations to address the misuse of deepfake technology.
Deepfake technology is mainly based on a form of machine learning known as Generative Adversarial Networks (GANs). Here is a simple explanation of its operation and its consequences:
The way Deepfake Technology operates:
Gathering Data: In order to produce a deepfake, the AI model must initially obtain a significant amount of images or videos featuring the individual whose appearance will be replicated. Having a greater amount of data allows for a more precise replication of facial expressions, movements, and distinctive features.
Model Training: Generative Adversarial Networks (GANs) comprise of a pair of neural networks, namely a generator and a discriminator, which compete with one another.
Generator: By studying patterns from authentic images, this network generates fake images or videos.
Discriminator: This network verifies the authenticity of the generated image or video. It gives the generator feedback, aiding in enhancing its output.Over time, the generator improves its ability to create counterfeits that are increasingly challenging for the discriminator to distinguish as fake.
Face Swapping or Audio Manipulation: After being trained, the AI is capable of exchanging the face of an individual in a video or altering the audio to create the illusion that they are saying things they never actually said. Sophisticated models are able to capture nuanced details such as blinking, head movement, and voice tone in order to improve realism.
Post-Processing: The last stage can involve using video editing tools to enhance the final product, correcting any lingering errors to elevate the authenticity of the fabricated content.
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