Researchers in China create a cloak that maintains invisibility in dynamic conditions by neutralizing outside inputs, the ‘guardian of drone’
A team of researchers at Cornell University has created a semiconductor chip that will allow ever-tinier devices to function at the higher frequencies required for the next generation of 6G communication technology.
In addition to requiring more bandwidth at higher frequencies, the next generation of wireless communication also demands more time. According to researchers, the new semiconductor provides the appropriate time delay to prevent signals from dissolving at a single point in space after being relayed over numerous arrays.
Researchers discovered novel features of graphene-like materials known as rhenium diselenide and rhenium disulfide.
Google presents AtP
An efficient and scalable method for localizing LLM behaviour to components.
Activation Patching is a method of directly computing causal attributions of behavior to model components.
Join the discussion on this paper page.
Meta presents Learning and Leveraging World Models in Visual Representation Learning.
Joint-Embedding Predictive Architecture (JEPA) has emerged as a promising self-supervised approach that learns by leveraging a world model.
Today Stability AI is releasing TripoSR in collaboration with TripoSR is a new image-to-3D model capable of creating high quality outputs in less than a second.
Introducing TripoSR: Fast 3D Object Generation from Single Images.
Robert Oppenheimer’s isn’t the only film-worthy story from the nuclear age. Kurt Gödel’s cameo as a secret agent was surprising — and itself a bomb.
Multimodal #AI for better prevention and treatment of cardiometabolic diseases.
The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources existing in medicine today.
Infimm-hd a leap forward in high-resolution multimodal understanding.
InfiMM-HD
A leap forward in high-resolution multimodal understanding.
Multimodal Large Language Models (MLLMs) have experienced significant advancements recently.
Join the discussion on this paper page.
Structured light, which encompasses various spatial patterns of light like donuts or flower petals, is crucial for a myriad of applications from precise measurements to communication systems.
The many properties of light allow it to be manipulated and used for applications that range from very sensitive measurements to communications and intelligent ways to interrogate objects. A compelling degree of freedom is the spatial pattern, called structured light, which can resemble shapes such as donuts and flower petals. For instance, patterns with different numbers of petals can represent letters of the alphabet, and when observed on the other side, deliver the message.
Unfortunately, what makes these patterns sensitive for measurements also make them susceptible to unwanted environmental factors such as air turbulence, aberrated optics, stressed fibers, or biological tissues doing their own “patterning” and distorting the structure. Here the distorted pattern can deteriorate to the point that the output pattern looks nothing like the input, rendering them ineffective.
Conventional methods to correct this have needed one to reapply the same distortion—this can take the form of measuring the distorting and applying the reverse or reversing the distortion in the beam and resending it back into the aberration, allowing this to “undo” itself in the process.