The 2024 Nobel Prizes in physics and chemistry have set a precedent for acknowledging AI’s contributions to science. While some may question the fit between AI and traditional disciplines, others see this as a necessary step toward recognizing the interdisciplinary nature of modern research.
Developed by researchers from Boston University, Neural Phase Retrieval leverages deep learning techniques to enhance the reconstruction of high-resolution images from low-resolution data. New neural framework NeuPh is already successfully outperforming traditional methods.
MAIA can interpret neural networks by conducting experiments and refining its analysis, enhancing understanding of AI models. This agent can identify neuron activities, remove irrelevant features, and detect biases, making AI systems safer and more transparent.
Drone racing has been used to test neural networks for future space missions. This project aims to autonomously manage complex spacecraft maneuvers, optimizing onboard operations and enhancing mission efficiency and robustness.
AI learnt to decode dog barks, identifying playful versus aggressive barks, as well as the dog’s age, sex, and breed. Originally trained on human speech, AI models have achieved impressive accuracy, offering significant advancements in animal care and communication research.
Much like the invigorating passage of a strong cold front, major changes are afoot in the weather forecasting community. The end game? An entirely new way to forecast weather based on artificial intelligence that can run on a desktop computer.
Llama 3, Meta AI's latest advancement, boasts unmatched language understanding, enhancing its capacity for complex tasks. With expanded vocabulary and advanced safety features, the model ensures improved performance and versatility.
OpenAI's latest creation Sora crafts captivating videos, offering unparalleled realism of visual compositions. Leveraging a fusion of language understanding and video generation the model can interpret text prompts, accommodate various input modalities, and simulate dynamic camera motion.
Amazon's latest TTS model with its innovative architecture sets a new benchmark for speech synthesis. BASE TTS not only achieves unparalleled speech naturalness but also demonstrates remarkable adaptability in handling diverse language attributes and nuances.
MPT-7B offers optimized architecture and performance enhancements, including compatibility with the HuggingFace ecosystem. The model was trained on 1 trillion tokens of text and code and sets a new standard for commercially-usable LLMs.
Deep active learning blends conventional neural network training with strategic data sample selection. This innovative approach results in enhanced model performance, efficiency, and accuracy across a wide array of applications.
ALERTA-Net is a new deep neural network that combines social networks, macroeconomic indicators and search engine data. The unique model predicts stock price movements and stock market volatility, going beyond traditional analysis methods.
In 1950, British scientist Alan Turing proposed a test to determine whether machines can think. To date, no artificial intelligence has yet successfully passed it. Will ChatGPT be the first?
OpenAI had an impressive DevDay introducing new features. Let's dive into the world of innovation and explore new horizons in the landscape of artificial intelligence. Find out about all the new amazing possibilities in our article!
Continuing research on tree-like architectures, scientists from Bar-Ilan University examine the need for deep learning in AI and suggest alternative machine learning methods that may be more effective for complex classification tasks.
Researchers from the Institute for Assured Autonomy highlight new methods for ensuring safety in the growing world of unmanned aircraft systems using advanced artificial intelligence techniques and simulation environments.
The latest motion estimation method can extract long-term motion trajectories for every pixel in a frame, even in the case of fast movements and complex scenes. Learn more about the exciting technology and the future of motion analysis in this article about OmniMotion.
Inspired by ants, researchers from the Universities of Edinburgh and Sheffield are developing an artificial neural network to help robots recognize and remember routes in complex natural environments.
TalkToModel is an innovative system for enabling open conversations with ML models. This platform allows users to not only understand, but also communicate with ML models in natural language, as well as receive explanations of their predictions and operating processes.
Recent AI research centered around tree-based architectures opens new perspectives for training artificial neural networks.
Recent research reveals that despite CAPTCHAs' extensive use as a defense against automation, nowadays bots outperform humans in both speed and accuracy when it comes to solving CAPTCHAs.
SeamlessM4T breaks down language barriers with its comprehensive translation and transcription capabilities, This AI model can easily convert speech or text, enabling real-time translation, and fostering cross-cultural understanding.
New research focuses on enhancing computer vision technologies by incorporating physics-based awareness into data-driven techniques. This hybrid AI-powered computer vision empowers machinery to intelligently perceive, interact, and respond to real-time environments.
The European Space Agency is developing a sample retrieval system using neural networks, aiming to collect and transport samples from Mars. The challenging mission of returning samples gathered by Perseverance rover is considered crucial for unlocking the mysteries of the Red Planet.
A new architecture aims to overcome the existing limitations of neural networks and symbolic AI. Developed model already demonstrates high effectiveness in solving logical problems and provides a promising framework for integrating different AI paradigms.
The meminductor joins the previously discovered memristors and memcapacitors in a line of circuit elements that can store and recall previous current or voltage values.
Solar cells based on hybrid organic-inorganic perovskites are a rapidly developing area of alternative energy. These molecules initiated the development of a new class of photovoltaic devices – perovskite solar cells.
The researchers used a diverse set of simple image generation programs to create a dataset for training a computer vision model. This approach can improve the performance of image classification models trained on synthetic data.
Researchers developed a new approach to motion modeling using relative position change. They evaluated the ability of deep neural networks architectures to model motion using motion recognition and prediction tasks.
Researchers designed a new AI algorithm that is designed to visualize data clusters and other macroscopic features in a way that they are as distinct, easy to observe and human-understandable as possible.
Scholars has developed DetectGPT that can distinguish AI-generated text from human-written text 95% of the time for popular open source LLMs.
Researchers have recently created a new neuromorphic computing system supporting deep belief neural networks (DBNs) - a generative and graphical class of deep learning models.
A team of scientists has developed a machine learning solution to forecast amine emissions from carbon-capture plants using experimental data from a stress test performed at an actual plant in Germany.
Scientists have developed the first bio-realistic artificial neuron that can effectively interact with real biological neurons.
Scientists presented a smart bionic finger that can create 3D maps of the internal structure of materials by touching their exterior surface.
The wireless soft e-skin can both detect and transmit the sense of touch, and form a sensory network, which opens up great possibilities for improving interactive sensory communication.
Meta AI launched LLaMA, a collection of foundation language models that can compete with or even outperform the best existing models such as GPT-3, Chinchilla and PaLM.
MusicLM is a new music generation AI that creates high-quality music based on textual descriptions in a similar way that DALL-E generates images from texts.
Scientists from the University of Michigan conducted a study of robot behavior strategies to restore trust between a bot and a human. Can such strategies fully restore trust and how effective are they after repeated errors?
A group of researchers have created a Bayesian machine, an AI approach that performs computations based on Bayes' theorem, using memristors. It is significantly more energy-efficient than existing hardware solutions, and could be used for safety-critical applications.
Using advances in artificial intelligence engineers at the University of Colorado Boulder are working on a new type of walking cane for blind or visually impaired.
Tel Aviv University researchers have achieved a technological-biological breakthrough: in response to the presence of an odor, the new biological sensor sends data that the robot is able to detect and interpret.
Text-to-speech models usually require significantly longer training samples, while VALL-E creates a much more natural-sounding synthetic voice from just a few seconds.
Researchers from Stanford University developed a new type of stretchable biocompatible material that gets sprayed on the back of the hand and can recognize its movements.
Point·E is a new system for text-conditional synthesis of 3D point clouds that first generates synthetic views and then generates colored point clouds conditioned on these views.
Self-driving cars have long been considered the next generation mode of transportation. To enable autonomous navigation of such vehicles numerous different technologies need to be implemented.
New research from the Pacific Northwest National Laboratory uses machine learning, data analysis and artificial intelligence to identify potential nuclear threats.
Researchers have discovered new ways for retailers to use AI in conjunction with in-store cameras to better understand consumer behavior and adapt store layouts to maximize sales.
Decoding speech based on brain activity has been a long-established goal of neuroscientists and clinicians. Nowdays, Meta is working on an AI model that can decode speech from noninvasive recordings of brain activity to help people after traumatic brain injury.
Look to Speak is designed to help those with motor function impairments and speech difficulties to communicate more easily. The app lets people use their eyes to select pre-written phrases and have them spoken out loud.
MIT researchers have developed a machine-learning technique that precisely collects and models the underlying acoustics of a location from just a limited number of sound recordings.
By 2050 humanity will have to almost double the global food supply to make sure that every dweller of the planet has enough food. With climate change going at increasing speed, water resources drop and arable lands erode, doing that sustainably will be a huge challenge for us.
During the last decade, one of the biggest issues in the gaming industry is the explosive growth of the AAA video games production cost. Studios are always on the look-up for technologies that could help bring down the cost of game development. Recent advances in the neural image generation models bring some hope that the realization of this dream may be not so far away.
Can computers think? Can AI models be conscious? These and similar questions often pop up in discussions of recent AI progress, achieved by natural language models GPT-3, LAMDA and other transformers. They are nonetheless still controversial and on the brink of a paradox, because there are usually many hidden assumptions and misconceptions about how the brain works and what thinking means. There is no other way, but to explicitly reveal these assumptions and then explore how the human information processing could be replicated by machines.
Now you won’t surprise anyone with filters that improve the quality of photos. But the restoration of old portraits still leaves much to be desired. Older photos tend to be too blurry, so normal image sharpening methods won't work on them.
Facebook has released the NLLB project (No Language Left Behind). The main feature of this development is the coverage of more than two hundred languages, including rare languages of African and Australian peoples. In addition, Facebook has applied a new approach to the machine learning model, where the translation is carried out directly from one language to another, without intermediate translation into English.
A group of scientists using machine learning "rediscovered" the law of universal gravitation.
Animated avatars have long become a part of our lives. But realistic modeling of closing animation still remained an open challenge.
On the one hand, modern physical modeling techniques can generate realistic clothing geometry at interactive speed. On the other hand, modeling a photorealistic appearance usually requires physical rendering, which is too expensive for interactive applications.
A group of scientists using machine learning "rediscovered" the law of universal gravitation.
To do this, they trained a "graph neural network" to simulate the dynamics of the Sun, planets and large moons of the solar system from 30 years of observations. Then they used symbolic regression to discover the analytical expression for the force law implicitly learned by the neural network.
