Qudata

"Smart" walking stick can help visually impaired perfor...

Using advances in artificial intelligence engineers at the University of Colorad...

A memristor-based Bayesian machine

A group of researchers have created a Bayesian machine, an AI approach that perf...

How robots and chatbots can restore people's trust afte...

Scientists from the University of Michigan conducted a study of robot behavior s...

Google introduced MusicLM – a model for generating musi...

MusicLM is a new music generation AI that creates high-quality music based on te...

Meta AI presented a series of language models – LLaMA

Meta AI launched LLaMA, a collection of foundation language models that can comp...

Wireless, soft e-skin for interactive touch communicati...

The wireless soft e-skin can both detect and transmit the sense of touch, and fo...

Artificial organic neurons facilitate the connection be...

Scientists have developed the first bio-realistic artificial neuron that can eff...

Application of machine learning to forecast amine emiss...

A team of scientists has developed a machine learning solution to forecast amine...

Deep neural network - a neural network based on silicon...

Researchers have recently created a new neuromorphic computing system supporting...

Human or AI? Scientists have created a detector tool to...

Scholars has developed DetectGPT that can distinguish AI-generated text from hum...

How do neural networks learn motion? Interpretation of ...

Researchers developed a new approach to motion modeling using relative position ...

The meminductor: researchers have discovered a new elem...

The meminductor joins the previously discovered memristors and memcapacitors in ...

Enhancing Machine Learning: striking a balance between ...

Researchers are working on a more effective way to train machines for uncertain,...

Sophia: A Breakthrough Approach to Accelerating Large L...

A team at Stanford has developed Sophia, a new approach that optimizes pretraini...

AI model enhances cancer origin identification for prec...

The OncoNPC model's predictions offer potential for personalized treatments by p...

Advantages of tree architectures over Convolutional Net...

Recent AI research centered around tree-based architectures opens new perspectiv...

The Future of Medical Assessment: the ML-Powered Pose-M...

The new technique utilizes real-time video analysis to compute a clinical score ...

TalkToModel: Interface for Understanding ML Models

TalkToModel is an innovative system for enabling open conversations with ML mode...

Ant-Inspired Neural Network Boosts Robot Navigation

Inspired by ants, researchers from the Universities of Edinburgh and Sheffield a...

Tracking every pixel: motion estimation with OmniMotion

The latest motion estimation method can extract long-term motion trajectories fo...

Is deep learning a necessary component of artificial in...

Continuing research on tree-like architectures, scientists from Bar-Ilan Univers...

New tools to reduce energy consumption in AI models

Lincoln Laboratory is actively advancing efforts to diminish the energy consumpt...

Does GPT-4 Pass the Turing Test?

In 1950, British scientist Alan Turing proposed a test to determine whether mach...

Materials science reshaped: AI accelerates green energy...

The integration of high-throughput computational screening and ML algorithms emp...

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