Anthropic has introduced Claude 3.5 Sonnet, a new AI model capable of controlling a computer similarly to a human. The model uses screenshots of the desktop to navigate applications and perform tasks such as clicking, typing, and gathering information.
Stable Diffusion 3.5, the latest release from Stability AI, introduces three powerful model variants that deliver enhanced image quality, speed, and accessibility for consumer hardware. The models are free for non-commercial use, and integrate advanced safety features to prevent misuse.
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.
Meta has unveiled Movie Gen, an AI-powered tool that creates high-definition videos with synchronized sound from simple text prompts. The model provides advanced video creation and editing features, offering users enhanced control over content generation.
With price cuts, increased rate limits, and faster output, new Gemini models by Google make advanced AI more accessible for developers worldwide. They boost speed, reduce costs, and enhance performance across a wide range of text, code, and multimodal tasks.
OpenAI o1 is designed to excel in complex reasoning tasks across science, coding, and mathematics. The new model aims to improve accuracy by mimicking human-like reasoning and address safety concerns, ensuring more reliable and responsible AI usage.
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.
The Indian Patent Office has granted a patent for the innovative landing system for mini-UAVs. This technology enables precise landings in challenging terrains and has potential applications in both military and civilian logistics, including high-altitude deliveries and emergency.
The latest text-to-image model from Ideogram AI introduces significant advancements that could challenge the dominance of established players like MidJourney and Leonardo AI. New features are already available, including multiple distinct styles, enhanced realism, and advanced prompting tools.
A low-cost, innovative accident avoidance system for drones uses onboard sensors and cameras to autonomously prevent mid-air collisions. This technology is crucial for UAV operations, ensuring safety and efficiency in increasingly crowded airspaces.
A new computer vision system significantly reduces energy consumption while providing real-time, realistic spatial awareness. It enhances AI systems' ability to accurately perceive 3D space – crucial for technologies like self-driving cars and UAVs.
Gen-3 Alpha – new AI model introduces powerful tools for generating high-quality videos, offering creatives unprecedented control and realism. With its advanced features and superior quality, the model pushes the boundaries of AI-driven content creation, outpacing competitors.
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.
Researchers created insect-inspired autonomous navigation strategies for tiny, lightweight robots. Tested on a 56-gram drone, the system enables it to return home after long journeys using minimal computation and memory.
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.
Nowadays, users can create DEMs with just one click, thanks to radar satellites providing continuous, high-precision data on the Earth's surface and increasingly fast and accessible open-source software. This allows for effective monitoring of terrain changes and natural phenomena.
Nemotron-4 340B is an advanced model family for synthetic data generation and AI alignment. Trained on 9 trillion tokens, it excels in optimizing performance and ensuring data quality, significantly enhancing AI capabilities across various industries.
With the significant rise in UAV usage in recent years, concerns about their safety have also increased. In this regard, a new system has been developed that leverages computer vision and deep learning algorithms to accurately and quickly detect and track drones.
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.
Researchers from the MIT Computer Science and Artificial Intelligence Laboratory and Google Research have seemingly performed magic with their latest creation: a diffusion model that can alter the material properties of objects in images.
During the Spring Update event OpenAI’s presented GPT-4о – the unique omnimodel that integrates text, audio and image processing, allowing it to work faster and more efficiently than ever before.
SenseTime Group's latest AI model, SenseNova 5.0, has sparked a surge in market interest with its impressive advancements, including enhanced knowledge processing, mathematical reasoning, and linguistic abilities.
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.
Explore the forefront of AI music synthesis with Udio and Suno platforms. Music generators enable users to effortlessly generate full-fledged songs across diverse genres while offering customizable features for experimenting with styles and crafting original melodies in seconds.
Мachine "unlearning" allows generative AI to selectively forget problematic data without extensive retraining. This method can ensure compliance with legal and ethical standards while maintaining creative capabilities of image-to-image models.
Google’s DeepMind developed a new method for long-form factuality in large language models, – Search-Augmented Factuality Evaluator (SAFE). The AI fact-checking tool has demonstrated impressive accuracy rates, outperforming human fact-checkers.
MIT researchers have developed a new framework, simplifying image generation into a single step. The team enhanced existing models like Stable Diffusion, by demonstrating the new framework's ability to quickly create high-quality visual content.
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.
Drawing inspiration from its predecessor Gemini, Gemma is focused on openness and accessibility, offering versatile models suitable for various devices and frameworks. The model marks a significant step towards democratizing AI while emphasizing its responsible development and transparency.
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.
The integration of high-throughput computational screening and ML algorithms empowers scientists to surpass traditional limitations, enabling dynamic exploration of materials. This combination has led to the discovery of new materials with unique properties.
Coscientist, an advanced AI lab partner, autonomously plans and executes chemistry experiments. Showcasing rapid learning, the system is proficient in chemical reasoning, utilization of technical documents, and adept self-correction.
The StableRep model enhances AI training through the utilization of synthetic imagery. By generating diverse images via text prompts, it not only solves data collection challenges but also provides more efficient and cost-effective training alternatives.
Researchers have joined forces to create a programmable quantum processor that operates with high fault tolerance based on logical qubits. This opens up new prospects for large-scale and reliable quantum computing, capable of solving previously intractable problems.
The Turing test, once groundbreaking for machine thinking, is now limited by AI's ability to mimic human reactions. A new study introduces a three-step system to determine whether artificial intelligence can reason like a human.
QuData introduces an innovative AI-powered breast cancer diagnostic system. This transformative technology ensures early detection and prompt intervention, marking a significant step forward in accessible, accurate, and timely treatment with better outcomes.
A groundbreaking NLP model Gemini AI is set to surpass existing benchmarks. With its multimodal prowess, scalability across various domains, and integration potential within Google's ecosystem, Gemini AI represents a significant leap in AI technology.
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?
Lincoln Laboratory is actively advancing efforts to diminish the energy consumption of AI models. Their objectives encompass fostering transparency in energy usage and enhancing the efficiency of AI model training.
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.
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.
The OncoNPC model's predictions offer potential for personalized treatments by pinpointing the source of challenging tumors, facilitating targeted interventions. The computational model can analyze the sequence of about 400 genes to find a previously unseen tumor.
IBM and NASA deploy an open-source geospatial AI model on Hugging Face. They aim to broaden accessibility to NASA satellite data and expedite the pace of climate-related discoveries.
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.
Through the groundbreaking "curious replay" method, AI agents gain the ability to self-reflect and learn from novel experiences, resulting in a substantial enhancement of their adaptability and performance.
A groundbreaking AI system uses non-invasive methods and fMRI scanner data to translate thoughts into continuous text. With the achieved success rates in converting the content of human thoughts the semantic decoder opens up new possibilities for enhancing communication.
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.
Generative AI is revolutionizing the world of gaming by transforming virtual characters and enhancing their conversational skills. The NVIDIA Avatar Cloud Engine (ACE) for Games empowers developers to infuse intelligence into NPCs, reshaping gaming experiences and pushing the boundaries of what is possible.
Researchers are working on a more effective way to train machines for uncertain, real-world situations. A new algorithm will decide when a “student” machine should follow its teacher, and when it should learn on its own.
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.
