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Scientists inch closer to holy grail of memory breakthrough — producing tech that combines NAND and RAM features could be much cheaper to produce and consume far less power

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A revolutionary new memory device that combines the features of DRAM and NAND flash memory is being developed by a group of researchers at the Korea Advanced Institute of Science and Technology (KAIST). 

Led by Professor Shinhyun Choi of the School of Electrical Engineering, the team’s breakthrough promises cheaper, power-efficient solutions that could potentially replace existing memory solutions or be used to implement neuromorphic computing for the next-generation of AI hardware.

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New Logitech MX Brio webcam combines ultra HD with AI

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Logitech MX_Brio webcam
The business version includes the AI feature.
Photo: Logitech

Logitech’s new MX Brio and MX Brio 705 for Business 4K webcams combine ultra high-definition video performance with artificial intelligence to help find your best look, the company said.

“We know that MX users collaborate and communicate from many different environments, and need a versatile webcam offering the best video and sound quality,” said Anatoliy Polyanker, general manager of Logitech’s MX Business, in a press release Wednesday. “MX Brio is our highest-quality webcam, featuring customization and the ability to show themselves or their work in the best possible way.”

Logitech MX Brio webcam

Logitech unveiled its new MX Brio webcam (alongside its MX Brio 705 for Business), the peripheral giant’s “most advanced webcam yet.” It joins other popular products in the company’s Master Series like MX keyboards and mice.

So it’s an update on the popular Brio 4K webcam. Here’s how Logi described the new one and its improvements:

MX Brio’s Ultra HD 4K resolution and advanced webcam sensor demonstrates Logitech’s continuous innovation with 70 percent larger pixels than the Brio 4K, our previous flagship webcam, offering an ultra sharp image. AI-enhanced image quality takes auto light correction further with face-based image enhancement that provides a more natural image, and video with 2x better face visibility and 2x finer image details in difficult lighting conditions compared to Brio 4K.

Customization via software

Also note, Logitech pointed out the new webcam offers a lot of manual adjustment via software, among other features. They include AI in the RightSight autoframing feature on the webcam’s model for businesses:

  • Advanced customization options allow users to fine-tune their appearance by manually adjusting exposure, tint, vibrance, field of view and more using Logi Options+, Logi Tune and G Hub software.
  • Show Mode makes it easy for users to share sketches or other physical objects by tilting the webcam.
  • MX Brio includes two beamforming mics to reduce background noise and an integrated privacy shutter.
  • The [AI] RightSight autoframing feature detects and centers on the speaker as they move around. Enterprise MX Brio 705 users can enable it through Logi Tune.

A version for businesses

MX Brio 705 for Business is an enterprise model of the webcam. The company said it works with most videoconferencing platforms. In fact, it’s certified for Microsoft Teams, Google Meet and Zoom, and it works with Chromebook. In addition, IT admins can update firmware and troubleshoot problems securely via Logitech Sync, a web-based device-management platform.

You can get the MX Brio 705 later in March in graphite and pale gray colors, Logitech said.

Price: $199.99

Where to buy: Logitech

Source: Logitech



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Ultimate AI artist combines DallE 3, ChatGPT-4 Vision and SDXL

Ultimate AI artist combines DallE 3, ChatGPT-4 Vision and SDXL

Why use just one AI model when you can combine two, three or more to create a recursive feedback loop that not only analyses what it creates but tries to refine it to get the best results for your given prompt. One such system Idea2Img is like a super-smart assistant that can turn your ideas into images by improving on its results.

Idea2Img uses GPT-4V(ision), a large multimodal model, to enact a cycle of recursive self-improvement in text-to-image (T2I) tasks. This system allows for dynamic interaction with T2I models, probing their characteristics for automatic image design and generation. It goes beyond traditional T2I models by enabling the processing of interleaved image-text sequences and following design instructions, thereby generating images of higher semantic and visual quality. You can read more on the official ideas and see examples over on the official GitHub repository.

What is Idea2Img?

Simply put, Idea2Img is an advanced system that turns your ideas into images. Built on the foundation of GPT-4 Vision, a powerful AI model that can “see” images, this technology continually refines its image-generating process through a cycle of self-improvement. It’s like a digital artist that gets better with each sketch, continually improving its technique based on past performances and feedback.

The Three Pillars: Improving, Assessing, Verifying

Idea2Img operates on three key principles to make its iterative improvements:

  1. Revised Prompt Generation (Improving): The system takes a user’s idea and, based on previous refinements, comes up with multiple ways to translate that idea into an image.
  2. Draft Image Selection (Assessing): It then creates several draft images and selects the most promising one for further refinement.
  3. Feedback Reflection (Verifying): Finally, the system critiques the chosen image against the original idea and adjusts its approach based on what it learns.

DallE 3, ChatGPT-4 Vision AI artist recursive feedback loop

To learn more about the interesting system check out the videos below.

Other articles we have written that you may find of interest on the subject of AI art generation

Idea2Img is like a digital artist that keeps getting better. Imagine having an idea for a picture in your head. Now, what if you could tell a computer that idea, and it could draw it for you? But not just draw it once—what if it could keep making that drawing better until it looks just like what you imagined? That’s exactly what Idea2Img does!

How Does It Work?

Let’s break down how Idea2Img uses its “digital brain” (called GPT-4 Vision) to make this magic happen. It goes through three main steps over and over again to keep improving the image:

  1. Making the First Draft (Improving): First, Idea2Img listens to your idea and thinks of different ways to draw it. It creates a few “draft” images based on those thoughts.
  2. Picking the Best One (Assessing): Then, it looks at all those drafts and picks the one that seems closest to your original idea.
  3. Fixing the Mistakes (Verifying): Finally, it looks at that best draft and figures out what’s wrong or what could be better. Then it goes back to step 1 and starts drawing again, but this time, it’s a bit smarter.

It repeats these steps, getting closer and closer to making the perfect image you had in your mind.

ChatGPT-4  Vision and SDXL

Now you might be thinking, “Okay, so it can draw, but what makes it different from other programs?” Good question! Idea2Img is really, really good at understanding both words and pictures, which helps it follow complex ideas and create better images. For example, if you wanted a picture of a sunset but with specific colors and maybe some animals in the foreground, Idea2Img could do it and make it look really good. Plus, it learns from its past tries, so it just keeps getting better!

For those curious about the techy stuff: Idea2Img uses GPT-4 Vision to think up ways to draw your idea. It also has a kind of “memory” that keeps track of its past attempts, like old drafts and the mistakes it found, so it can learn and get better.

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