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- ✅ Your Weekly AI Update #13
✅ Your Weekly AI Update #13
From Elon Musk’s humanoid robot to AI-powered museum chats with dodos – your weekly AI roundup, insights, and industry stories.
Douglas
October 15, 2024
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Welcome to this new edition!
In Today’s Menu:
AI-related Quote
AI-ducation: What is the Kernel Function?
AI decrypted: Classification
Top 3 News of the Week
AI story: Nick Bostrom
Extra News
Image of The Day
The AI-related Quote
"The real question is, when will we draft an artificial intelligence bill of rights? What will that consist of? And who will get to decide that?"
The AI-ducation
What is the Kernel Function?
In machine learning, the kernel function is a tool that makes it easier to work with complex data. Imagine trying to draw a line to separate different groups in a simple two-dimensional space, like a piece of paper. But what happens when the data is more complicated and can't be separated by a straight line? That's where kernel functions come in.
A kernel function transforms data into a higher-dimensional space. This transformation allows algorithms, like Support Vector Machines, to find patterns in data that would be hard to spot in a flat, low-dimensional space. By using a kernel, we can turn non-linearly separable data into data that is linearly separable.
There are different types of kernel functions, like linear, polynomial, and radial basis functions (RBF), each with unique capabilities. By choosing the right kernel, you enable the machine learning model to learn and make better predictions. It’s like switching from a map to a globe—it gives a fuller picture of the data.
Kernel Layout from TechTarget
The AI Decrypted
Classification
In AI, classification is a type of problem-solving that sorts data into different categories or "classes." Think of it like sorting photos into different albums. For instance, a classification algorithm might help an AI system label emails as "spam" or "not spam," or recognize whether an image contains a cat or a dog.
Classification works by training a model on labeled data. The model learns from examples and tries to identify patterns in each category. When new data is introduced, it uses those patterns to predict which category the new data belongs to. Popular classification algorithms include decision trees, support vector machines (SVM), and neural networks.
Classification is used everywhere: in medical diagnoses, sentiment analysis, and even autonomous driving. With more labeled data, classification models can get even better, helping AI systems make quicker, more accurate decisions.
Credit: DataCamp
The 3 News of the Week
#1 - Elon Musk Unveils Tesla's Humanoid Robot "Optimus"
Elon Musk has introduced Tesla’s latest creation, Optimus, a humanoid robot designed for daily assistance. Revealed at the We Robot event in Los Angeles on October 10, Optimus surprised attendees by serving drinks and interacting with the crowd, showcasing its human-like movements and social capabilities.
Musk envisions a future where everyone has a personal robot like Optimus, which can help with household tasks such as watering plants, fetching mail, and even playing games. He promises a price point between €18,000 and €27,000, making Optimus potentially affordable for many. Although a launch date is yet to be confirmed, Musk boldly claims it could become the “greatest product of all time.”
Elon Musk X Optimus
#2 - New AI-Driven Scam Targets Gmail Users
A new, sophisticated AI-driven scam is targeting Gmail users, raising alarms about security vulnerabilities for over 2.5 billion accounts. The scam, highlighted by security consultant Sam Mitrovic, uses a combination of fake recovery notifications and convincing voice calls from “Google support” to deceive users into revealing account details.
The scammers leverage AI to create highly realistic interactions, including impersonating Google agents and mimicking official notifications. Google has responded with an anti-scam initiative, emphasizing that Google will never contact users unsolicited. The incident underscores the need for increased vigilance as AI-enhanced scams become more common.
Credit: Forbes
#3 - Museum Visitors Can Chat with Extinct Animals Using AI
The University of Cambridge's Museum of Zoology is letting visitors “talk” with extinct animals through an interactive AI experience. By scanning QR codes, visitors can engage in conversations with creatures like the dodo and the giant sloth, as well as a preserved cockroach and narwhal skeleton.
This month-long experiment, launched in collaboration with Nature Perspectives, aims to foster a deeper connection with nature by giving animals a “voice.” With replies crafted from scientific knowledge, the project not only educates but seeks to transform visitor attitudes towards biodiversity and conservation.
Credit: BBC
The AI Story
Nick Bostrom
Nick Bostrom is a Swedish philosopher and one of the most influential thinkers on the future of artificial intelligence. As the author of Superintelligence: Paths, Dangers, Strategies, Bostrom has deeply impacted how we view AI's potential risks and benefits. He explores the possibility of AI surpassing human intelligence and the critical choices society faces in managing this evolution.
Bostrom is also the founding director of the Future of Humanity Institute at Oxford University. There, he leads research on AI safety, ethics, and long-term impact. His work raises vital questions about ensuring that AI aligns with human values and prioritizes global well-being.
By advocating for careful development and responsible AI governance, Nick Bostrom has helped spark a global conversation about the ethical challenges that come with advanced AI. His insights continue to influence researchers, policymakers, and tech leaders around the world.
Nick Bostrom
The Extra News
Image of The Day
Prompt:
the slightly worn cover of a comic book circa 1984, title on top is words "BY-CLOPS" then smaller text bellow "THE MAN WITH TWO EYES!", a man standing front view in shrugging pose with hands upturned, annoyed expression, barcode on bottom, upper left corner is white box with issue number 16, extreme attention to detail, award winning photography
Made w/ Midjourney by user @numbnuts751469
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