Midjourney AI is great for images, while Microsoft's ChatGPT for robotics could be a game changer for anyone interacting with robots. Instead of learning complex programming languages or details around robotic systems, ChatGPT can be used to provide high-level feedback to the large language model (LLM) while monitoring the robot's performance. ChatGPT can generate code for robotics scenarios in real-time, without having to fine-tune any settings. One can leverage the LLM's knowledge to control different robots form factors for a variety of tasks, including solving robotics puzzles, along with complex robot deployments in the manipulation, aerial, as well as navigation domains. Whether it be in Microsoft AirSim simulator or just manipulating objects, ChatGPT is able to perform the task with just a few prompts.

Scientists have fully mapped a fruit fly brain for the first time, uncovering every individual neuron (messenger cell) and how they are wired together. The 3,016 neurons resemble an AI neural network of sorts and between those cells, they discovered 548,000 points of connection, or synapses, where cells transmit chemical messages, thus triggering electrical signals that travel through their wiring. How a brain circuit is structured heavily influences the computations it can perform, and up until this point, researchers have only seen the structure of the roundworm C. elegans, the tadpole of a low chordate and the larva of a marine annelid, all of which only have several hundred neurons. Now they can start gaining a mechanisitic understanding of how the brain actually works. We previously had only limited information on gene expression in the zebrafish brain.

Unlike a brain-computer interface, artificial intelligence can be combined with human brain activity to reconstruct high-resolution images. Researchers from the Graduate School of Frontier Biosciences at Osaka University used a diffusion model (DM) to decode fMRI data from human brains and reconstruct visual experiences, relying on a latent diffusion model (LDM) that many know as Stable Diffusion. Training or fine-tuning of complex deep generative models is not required, as this simple framework reconstructs high-resolution images from functional Magnetic Resonance Imaging (fMRI) signals using Stable Diffusion. The text-to-image conversion process implemented by Stable Diffusion incorporates the semantic information expressed by the conditional text, while simultaneously retaining the appearance of the original image. We show that our proposed method can reconstruct high-resolution images with high fidelity in straightforward fashion, without the need for any additional training and fine-tuning of complex deep-learning models.

A touchscreen McDonald's kiosk running DOOM is one thing, training a Syntiant NDP200 neural decision processor to to play the game using very little power is another. This chip is designed to run neural networks and for vision processing at under 1mW, all the while performing highly accurate processing on-device, including multi-sensor fusion, voice command recognition, as well as tamper detection. To train this processor to play DOOM, a lightweight version of the game was used, called VizDoom. Reinforcement learning was then employed to train a neural network consisting of several layers, with the first set being responsible for understanding what the network is seeing, and the last, taking action in response. A total of 600,000 parameters were required, which is significant because the NDP200 has just 640 kilobytes of onboard memory for neural-network parameters.

ChatGPT is taking the world by storm, and even more so today, as a next-generation Microsoft Bing search engine as well as an Edge browser powered by an even more powerful AI were revealed. Bing is still the same search engine, but now has a new sidebar that shows more comprehensive answers if you want them. It draws upon results from across the web to find and summarize the answer you're searching for. Plus, you can now make complex search queries, such as for planning a detailed trip itinerary or researching what monitor to buy. It achieves this through an interactive chat experience that lets you refine your search until you get the complete answer you are looking for by asking for more details.

Midjourney AI can be used for many things, including showing us what'Family Guy' would look like as a 1980s live-action sitcom, similar to Family Matters, Full House, Married with Children, etc. Lyrical Realms (LR) is behind this creation and all of the images you're about to see were not generated purely from text prompts, but also includes data from existing images. This wasn't a smooth process either, as some of the images had imperfections, such as characters being too small or big and missing objects like Peter's glasses. The most time consuming part was prompt engineering, as Lyrical Realms had to first generate around 1,500 images before he settled upon a style he liked. As for difficulty in generating specific characters, it turns out Peter was easiest and Cleveland / Quagmire tied for being the most difficult. Photoshop was used only for two different purposes: to remove artifacts (for example sometimes images come out with black or red borders) and to separate the intro into layers and give a 3D effect," said Lyrical Realms to Peta Pixel.

Photo credit: Matheius Stern via Peta Pixel Midjourney AI is a fantastic tool for anyone wanting to test their imagination, and Mathieu Stern takes it to the next level with a series of vintage cameras that never existed, but look like they should. Generating each of these images took less than a minute after a prompt was provided, although finding the right text to use took him hours to get just right. Once the cameras were generated, Stern then polished them off in Photoshop to make it look as if they were all shot in a professional studio. The only thing left to do was create a convincing backstory as to who might have built these cameras, and that required the use of ChatGPT that can not only answer questions, but also write entire essays at the click of a button. Mucha's designs featured brass frames adorned with intricate mother-of-pearl inlays, and the lenses were made from the finest European glass.

OpenAI wanted to advance artificial intelligence (AI) and machine learning research in a more creative way, so they trained their new bot to play Minecraft using over 70,000 hours of gameplay footage from YouTube. The bot utilized the gameplay actions and tutorials to learn how to execute complex in-game sequences that would take a normal player around 24,000 individual actions to accomplish. Their behavioral cloning model accomplished many tasks including learning how to chop down trees to collect logs and then craft those into planks. This sequence would typically take a human Minecraft player approximately 50 seconds or 1,000 consecutive game actions. Additionally, the model performs other complex skills humans often do in the game, such as swimming, hunting animals for food, and eating that food.

There's ion propulsion drones, and then this AI racing drone, developed by University of Zurich researchers. Human drone pilots were invited to the Robotics and Perception Group for a friendly race, with each one getting pit against various AI drones, starting with one using 36 tracking cameras. The camera is used to capture 400 fps of video, in which the AI drone uses in combination with four tracking markers. This footage is then sent to a vision and navigation system capable of translating it into flight commands. These are then sent to the drone in real-time over a wireless connection.

Up Your Game: The Mavic Air 2 camera drone takes power and portability to the next level. It combines a powerful camera with intelligent shooting modes for stunning results. Push your imagination to its limits because aerial photography has never been this easy. Next-Level Content: Capture impressive 48MP photos with a 1/2-inch CMOS sensor while the 3-axis gimbal provides 4K/60fps video. The secret to incredible HDR video is a high-performance Quad Bayer image sensor.