HadNews.com

Liquid circuits that mimic synapses in the brain can for the first time perform the kind of logical operations underlying modern computers, a new study finds. Near-term applications for these devices may include tasks such as image recognition, as well as the kinds of calculations underlying most artificial intelligence systems.Just as biological neurons both compute and store data, brain-imitating neuromorphic technology often combines both operations. These devices may greatly reduce the energy and time lost in conventional microchips shuttling data back and forth between processors and memory. They may also prove ideal for implementing n...... Read Full article on HadNews

As artificial intelligence continues to develop at a rapid pace, it’s easy to wonder where this new age is headed. The likes of ChatGPT, Midjourney and Sora are transforming the way we work through chatbots, text-to-image and text-to-video generators, while robots and self-driving cars are helping us perform day-to-day tasks. The latter isn’t as mainstream as the former, but it’s only a matter of time. But where’s the limit? Are we headed towards a dystopian world run by computers and robots? Artificial general intelligence (AGI) is essentially the next step but as things stand, we’re a little way off from that becoming a reality. AGI ...... Read Full article on HadNews

Artificial intelligence has come a long way since its inception, evolving through five distinct generations that have shaped the landscape of AI as we know it today. The first generation, known as handmade AI, saw intelligent systems crafted by humans who relied on expert knowledge to solve problems. These systems had limited capacity for abstract thinking but were effective for specific tasks. Moving on to the second generation, statistical learning enabled computers to excel at games like chess and Go, using deep learning techniques to achieve incredible feats. The third generation focused on explainability and generative models, mak...... Read Full article on HadNews

When people refer to artificial intelligence (AI) tools, they may be referring more specifically to generative AI which is exploding in popularity and usage. What is generative AI? Generative AI is a term used to encompass deep-learning language models that generate text, images, videos, and other content using external prompts. They use the datasets they learn from to create various forms of content, ranging from short poems to long articles. The topic of generative AI came to the fore with the wide release of OpenAI’s ChatGPT tool, bringing generative AI to the general public at large. While this might have been the first form of gen...... Read Full article on HadNews

Sam Altman recently revealed new details about GPT-5 in a fiery interview with Axios in Davos. He expressed surprise at the overwhelming popularity of Chat GPT and GPT-4, and how they have transformed businesses and integrate into daily lives. Altman also hinted at the potential name change for GPT-5. He expressed excitement for the exponential increase in the model’s intelligence and ability to solve complex problems more accurately. Regarding AI’s future in 2024, Altman stressed that the emphasis will be on generalized intelligence continually increasing. He hinted at the possibility of AI being termed something other than GPT-5 and ...... Read Full article on HadNews

GPT4 has finally arrived, leaving GPT in the dust and changing the game for artificial intelligence. This powerful AI can now process images and text, making it a multimodal platform unlike its predecessors. OpenAI recently ran a developer live stream introducing GPT4 and showcasing its capabilities, including a demo of its image to text processing. One impressive demonstration showed GPT4 accurately identifying elements in a photo and explaining the context of a joke based on a series of images. Additionally, GPT4 can convert a drawing of a website on a napkin into a functional website in just 10 to 20 seconds. This capability has wow...... Read Full article on HadNews

1X lauded the capabilities of its robots, sharing details on various learnings installed through data. The actions in the video above are all controlled by a single vision-based neural network, emitting at 10Hz. The network absorbs a range of imagery to issue commands to control the driving, arms, gripper, torso, and head. That is all. There are no graphics installed, no video speedups, no teleoperation, and no computer graphics. Everything is controlled via the neural networks, with full autonomy, operating at 1x speed. Next generation Thirty EVE robots were used to put together a top-rated, diverse dataset of demonstrations, to generate ...... Read Full article on HadNews