Self-driving cars get AI vision upgrade

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AMAZON USES AI TO STREAMLINE SELLER EXPERIENCE 💸

My wife and I went online shopping for clothes while I had COVID … She says I have no taste. 🤣

What’s new? Amazon is leveraging the latest AI advancements to streamline the experience for its sellers.

What are the new features? Amazon's new generative AI capabilities simplify how sellers create product descriptions, titles, and listings, speeding up the sales and presentation process and aiding customers' purchase decisions. Instead of manually entering data, these new AI models generate detailed listings based on a simple description of the product. Sellers then have the ability to customize and submit those listings. These models also extract information from images and various sources using diverse information sources and logical reasoning, enhancing product knowledge and descriptions. These features have the ability to save hours of time and provide richer product information for a better shopping experience, both on the side of the buyer and the seller.

APPLE’S IPHONE 15 LAUNCH “SECRETLY” FOCUSED HEAVILY ON AI 🤔

What do you think about when you hear, “AI”? Whether it’s positive or negative, everyone has an impression when they hear these two powerful letters. 😳

What happened? At the highly anticipated iPhone 15 launch event, Apple showcased its groundbreaking features made possible by its cutting-edge AI chip technology, but did not mention the words, “AI."

What was talked about? Apple's in-house semiconductor designs took center stage, which power the iPhone 15 and Apple Watch Series 9. The S9 chip, unveiled for the Apple Watch Series 9 and Apple Watch Ultra 2, highlighted the shift towards on-device AI processing. Implementation of these chips means that Siri commands can be processed locally, enhancing speed and security by eliminating the need for data transmission over the internet. Notably, Apple's A17 Pro chip, boasting a remarkable 3-nanometer size, powers the iPhone 15 Pro and Pro Max, making them the sole smartphones on the market with this advanced chip technology. The smaller transistor size translates to more powerful and efficient chips, driving features like precise predictive typing and AI-backed camera technology.

Why didn’t they mention AI? It was clearly a strategic move by Apple to not explicitly mention “AI” in this launch event. AI has become a word with a lot of weight, and much of that weight comes by way of privacy concerns and data scraping. Because of this, Apple was sure to speak of the groundbreaking features powered by AI without bringing along additional concerns about the privacy of users.

SELF-DRIVING CARS ARE GETTING A VISION UPGRADE 🚙

Self-driving cars are getting 20/20 vision! 🤓

What’s the scoop? Autonomous vehicles are tasked with rapidly and accurately identifying objects in their path, a crucial aspect of ensuring safe navigation. From a stationary delivery truck at an intersection to a cyclist approaching from the side, these vehicles must perceive their surroundings with precision. One of the key technologies enabling this perception is what is called “semantic segmentation,” where every pixel in an image is categorized to identify objects accurately. Researchers from MIT and the MIT-IBM Watson AI Lab have created a new way to enhance this detection performance.

What is the new technology? The researchers’ innovative solution is a series of computer vision models called “EfficientViT.” These models reduce computational complexity dramatically while also improving accuracy. By simplifying the way vision transformers focus on objects and adding features to see details up close and learn from a closer examination of the size and shape of these objects, EfficientViT achieves semantic segmentation up to nine times faster than previous models, without compromising accuracy. This allows for much quicker and more accurate detection and response times in technology such as self-driving cars.

What does this mean? Technology like EfficientViT has the potential to enhance not only autonomous vehicle decision-making but also other high-resolution computer vision tasks, such as medical image segmentation. In this way, EfficientViT represents a big leap forward for making real-time, high-resolution computer vision accessible on resource-constrained devices, opening up exciting possibilities for a safer and more efficient future.

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