यह लेख **परसेप्ट्रॉन** के बारे में एक व्यापक अवलोकन प्रस्तुत करता है, जो मशीन लर्निंग में एक बुनियादी एल्गोरिथम है। यह बताता है कि कैसे **फ्रैंक रोसेनब्लैट** ने 1958 में इसे पेश किया था, और यह कैसे **बाइनरी वर्गीकरण** के लिए एक **रेखीय वर्गीकरणकर्ता** के रूप में कार्य करता है। लेख परसेप्ट्रॉन की **यांत्रिकियों**, इसके **गणितीय सूत्रीकरण**, **प्रशिक्षण प्रक्रिया** और **अभिसरण** को विस्तार से समझाता है, यह बताते हुए कि यह **रैखिक रूप से विभाज्य डेटा** के लिए कैसे काम करता है। इसमें **पायथन में कार्यान्वयन** का एक उदाहरण भी शामिल है और **अनुप्रयोगों**, **फायदे**, और **सीमाओं** पर चर्चा की गई है, अंत में **मल्टीलेयर परसेप्ट्रॉन** जैसे उन्नत मॉडलों पर इसके ऐतिहासिक प्रभाव पर प्रकाश डाला गया है।

ML-EP-15_ मशीन लर्निंग में परसेप्ट्रॉन_ एक बुनियादी एल्गोरिथम

Welcome to **AI with Shaily**! 🎙️ Hosted by Shailendra Kumar, a passionate AI practitioner and author, this show dives deep into the latest breakthroughs in artificial intelligence, making complex tech topics easy to understand and practical for listeners.

In this episode, Shaily takes you on a thrilling ride inside the world of autonomous vehicles 🚗💨, focusing on how self-driving cars are evolving to navigate the chaotic and unpredictable urban jungle. Imagine yourself behind the wheel of a car that not only reacts but *predicts* the movements of pedestrians, vehicles, and sudden obstacles using cutting-edge sensor fusion technology. This means combining data from cameras, LiDAR, radar, and more to create a rich, real-time understanding of the environment.

The big leap? Moving beyond rigid, rule-based programming to smart machine learning models that continuously learn and improve. These systems get better with every mile driven and simulated test, handling tough conditions like fog 🌫️, rain 🌧️, and noisy sensor inputs that used to confuse autonomous cars. It’s like teaching a car to master a skill faster and more accurately than humans can.

Shaily shares a personal story about the early challenges of trusting machines to take the wheel and how today’s data-driven AI methods are bridging that trust gap. This progress is not just theoretical; it’s gaining recognition in prestigious places like the International Journal of Vehicle Design and sparking conversations on social media as of mid-2025.

For AI enthusiasts and developers, Shaily offers a golden nugget of advice: focus on integrating multiple sensor inputs rather than relying on just one. This fusion is the “secret sauce” 🥫 for building robust autonomous systems that can handle the unpredictable nature of real-world environments.

Before signing off, Shaily poses a thought-provoking question 🤔: As AI gets better at predicting and avoiding obstacles, how might this influence the design of future urban spaces? He invites listeners to share their thoughts and engage in the conversation.

To inspire everyone, Shaily quotes the legendary Alan Turing: *“We can only see a short distance ahead, but we can see plenty there that needs to be done.”* This perfectly captures the exciting journey of autonomous obstacle avoidance—a journey that’s well underway.

Don’t miss out on more insightful AI discussions—follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium. If you enjoyed the episode, hit subscribe and join the growing community of AI learners and innovators.

Thanks for tuning in to **AI with Shaily**! Stay curious, keep learning, and see you next time! 🤖✨

AI with Shaily: The Future of Self-Driving Cars and Smarter Obstacle Avoidance

Welcome back, friends! 🎉 You’re tuned into "AI with Shaily," hosted by Shailendra Kumar, your go-to guy for the latest and most intriguing stories from the world of artificial intelligence 🤖✨.

Today’s spotlight is on OpenML, a groundbreaking platform that’s transforming AI research. Imagine a place, created by Jan van Rijn during his Ph.D., that now attracts over 120,000 unique visitors every year 🌍. OpenML is like Wikipedia but for AI—it hosts datasets, machine learning models, and even entire experiments. This means researchers and enthusiasts can easily access, replicate, and build upon existing work without the usual hassle 📊📚.

Jan van Rijn’s vision for OpenML is all about pushing open science forward by making AI research more transparent, accessible, and fair ⚖️. Sharing code and data isn’t as simple as it sounds—different research cultures and extra effort often slow things down. But OpenML is tackling these challenges head-on, promoting collaboration and reuse of resources. This breaks down the silos in science, encouraging a global community of researchers to innovate together instead of reinventing the wheel 🔄🤝.

Shaily shares from personal experience how difficult it used to be to find datasets or reproduce experiments—like chasing ghosts 👻. Platforms like OpenML don’t just make things easier; they build trust and speed up innovation 🚀. The platform’s impact is gaining attention everywhere, from university labs to social media, with advocates pushing for open sharing to become the norm rather than the exception 🌐📢.

For all the aspiring AI enthusiasts out there, here’s a golden tip: contribute your own experiments or datasets to OpenML! Doing so not only helps the community grow but also enhances your own reputation in this collaborative ecosystem 🌟🙌. It’s truly a win-win situation!

Shaily leaves you with a thought-provoking question: How would having open and easily accessible machine learning experiments change your projects or learning journey? 🤔💡 He’s eager to hear your insights and experiences.

To close, here’s a powerful quote from Jan van Rijn: “Open science is not just about openness—it’s a catalyst for fairness, accelerated progress, and collective knowledge.” 📢💬

Don’t forget to follow Shaily on YouTube, Twitter, LinkedIn, and Medium for more AI insights and updates. If you enjoyed this episode, hit subscribe and share your thoughts in the comments—Shaily can’t wait to engage with you! Until next time, keep questioning, keep learning, and keep innovating! 🌟🤖🚀

This has been AI with Shaily—your friendly guide through the AI landscape. Take care! 👋😊

OpenML Uncovered: Revolutionizing AI Research Through Open Science

Today’s guest is Kyle Hathorn, Director of Customer Experience and Strategy at First National Bank of Omaha (FNBO). FNBO is a privately held, family-led financial institution with over $32 billion in assets and approximately 4,500 employees, offering personal, business, commercial, and wealth banking across eight Midwestern states, alongside a national reach through its credit‑card programs. Kyle joins Emerj Editorial Director Matthew DeMello to explore how banks can meet rising customer expectations while navigating economic uncertainty and digital transformation. Together, they unpack the unique challenges of delivering seamless, personalized experiences in a heavily regulated, multi-platform environment. From the impacts of inflation on customer loyalty to the cautious integration of AI, Kyle emphasizes the importance of trust, transparency, and alignment across product and data teams. Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on Emerj’s flagship’ AI in Business’ podcast! If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Trust and Transformation in Banking CX – with Kyle Hathorn of FNBO

This week on Buzzinga.ai, we dive into a massive week of AI news that spans hardware, software, and policy. OpenAI is reportedly readying the launch of its next-generation GPT-5 model for as early as August, just as rival Anthropic seeks a staggering $150 billion valuation.

The episode explores the heating up hardware race, with Huawei unveiling a new computing system to rival Nvidia's best as Chinese tech firms form alliances to reduce reliance on U.S. chips. We also cover major corporate moves, including Meta hiring a co-creator of ChatGPT to lead its new Superintelligence Lab and Tesla facing shareholder questions over its investments in Elon Musk's xAI. Additionally, the discussion touches on the human side of AI, from a programmer's victory over an AI in a coding contest to OpenAI CEO Sam Altman's stark warnings on job loss and voice-cloning fraud. The conversation also highlights key developments in the Middle East, such as Saudi Arabia's robotaxi trial in Riyadh and new AI initiatives in the UAE.


Buzzinga.ai: GPT-5's August Launch, Huawei's Nvidia Rival, and Meta Hires a ChatGPT Co-Creator

In episode 11 of the iGaming AFRIKA Podcast, Leon Mutua, Key Account Manager at Sofascore, highlights the role of data in shaping localized business approaches, the need for balanced, collaborative regulation, and the impact of emerging technologies like AI, micro-betting, crash games, and crypto in driving innovation and responsible gaming across the continent.

Leon dives deep into the contrasting dynamics of African markets, using Nigeria and South Africa as prime examples of volume-versus-value betting behaviors. He highlights emerging markets like Uganda, Zambia, DRC, and Ghana as fertile ground for operators, thanks to low competition tech-savvy youth, and increasing access to mobile infrastructure.

Leon stressed that regulation should be seen as necessary collaboration between governments and operators. He discusses real-world examples from Rwanda’s sudden tax hike to Ghana’s tax removal policy and explained how balanced, consultative regulation can drive player trust and industry sustainability.

Leon also explored how innovation is shaping the future of iGaming in Africa. From AI-driven personalization to micro-betting and crash games like Aviator, tech is enabling richer, safer, and more tailored player experiences. He champions the rise of mobile money and crypto as essential tools that are expanding access and inclusion across borders, especially in unbanked populations.

Crucially, he advocated for responsible gaming. Drawing inspiration from Kenya’s credit bureau model, Leon envisions a shared player risk profile system that would protect players across platforms, enabling early detection of harmful behaviors while supporting operators and regulators in building a safer ecosystem.

Join our Community on Telegram: https://t.me/igaminginafrica

Unlocking Growth and Innovation in African iGaming with Technology Podcast with Leon Mutua

Methods in Ecology and Evolution author René Steinmann chats to Harriet about his research article 'Decoding the footsteps of the African savanna: Classifying wildlife using seismic signals and machine learning'. 

The study investigates the seismic signal properties of African savanna species during locomotion and employs machine learning techniques to classify wildlife based on these footfall signals. 

Read René's full research article here: https://doi.org/10.1111/2041-210X.70021

Read René's post on the Methods Blog here: https://methodsblog.com/2025/05/19/the-ground-beneath-their-feetlistening-in-on-africas-wildlife-using-seismic-sensors/

Methods in Ecology and Evolution | Dr René Steinmann : Decoding the footsteps of the African savanna

Is your AI stuck in the past? In this episode, we dive into the transformative world of Test-Time Neural Plasticity, - AI models that don't just operate but learn and adapt in real time. Join leading AI researchers and technology strategists as we explore how dynamic neural networks are revolutionizing customer interactions, financial risk management, and smart manufacturing. Are we ready to trust AI that reshapes itself on the fly? Tune in and discover why the future belongs to systems that keep learning long after they're deployed.

Bit & Being - Test-Time Neural Plasticity: AI That Adapts on the Fly

What happens when cutting-edge AI meets crumbling Latin inscriptions? In this episode, we explore how DeepMind’s Aeneas system is transforming the way historians restore and interpret ancient texts, - bridging millennia with machine learning. Joined by experts in archaeology and AI, we unpack how algorithms are now co-authoring history, reviving long-lost voices from the Roman Empire. Can a neural network understand antiquity better than a scholar? And what does this mean for the future of digital humanities, historical truth, and innovation at the intersection of tech and culture? Tune in for a conversation where past and future collide.

Bit & Being - The Future of History: How AI Co-Authors the Past

In this episode, we unpack the urgent warning from over 40 AI researchers who say our rare view into AI’s “inner monologue” may soon disappear. You’ll hear how leaders from OpenAI, DeepMind, Anthropic, Meta, and more are joining forces to keep AI transparent, - and why that’s both a technical and strategic challenge. We explore real cases where monitoring AI’s reasoning caught risky behavior, the forces that could make such insight vanish, and what innovation leaders should be doing now to keep the glass from going dark.

Bit & Being - AI’s Inner Monologue: A Window into Transparency That May Soon Close

Africa's leading Casino, Sportsbook and Lottery insider for news, podcasts, interviews and other gambling industry updates.

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Podcasts from the British Ecological Society

Stay ahead of the curve as artificial intelligence disrupts the financial services sector.

Discover the lessons learned from organizations like HSBC, Citigroup, and Visa; learn business strategies from venture capitalists investing in AI for the financial services industry; and see the future with AI banking innovators from Silicon Valley and around the world.

Each week Emerj Founder Daniel Faggella interviews top experts to bring their best insights to our audience.

This show is for financial services leaders, consulting and IT services leaders, and any businessperson with an interest in the evolving world of AI in financial services.

www.emerj.com

New tracks tagged #Machine Learning