Filamentous fungi grow like alien landscapes and present promising applications. One researcher showcases the art of their strange forms.
Get the latest international news and world events from around the world.
Intel & NVIDIA Announce Strategic Collaboration
This collaboration will integrate NVIDIA’s AI and accelerated computing technologies with Intel’s CPUs and x86 ecosystem, using NVIDIA NVLink for seamless connectivity.
For data centers, Intel will build NVIDIA-custom x86 CPUs that NVIDIA will integrate into its AI infrastructure platforms and offer to the market. However, the spotlight is on personal computing, for which Intel will build and offer to the market x86 system-on-chips (SOCs) that integrate NVIDIA RTX GPU chiplets. These new x86 RTX SoCs are designed to “power a wide range of PCs that demand integration of world-class CPUs and GPUs.”
Are tech monopolies just becoming even bigger monopolies with less competition? It’s worth noting that Intel has actually done something similar before with AMD, and Kaby Lake-G is now largely viewed as a failure. Still, it’s hard to imagine this happening if Intel weren’t facing serious challenges. NVIDIA’s $5 billion investment in Intel, through common stock purchased at $23.28 per share, goes beyond a mere hint.
Rice researchers create novel metamaterial that can potentially revolutionize implantable, ingestible devices
Researchers led by Rice’s Yong Lin Kong have developed a soft but strong metamaterial that can be controlled remotely to rapidly transform its size and shape.
AI model offers accurate and explainable insights to support autism assessment
Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights—including a model-estimated probability score for autism.
The model, outlined in a study published in eClinicalMedicine, was used to analyze resting-state fMRI data—a non-invasive method that indirectly reflects brain activity via blood-oxygenation changes.
In doing so, the model achieved up to 98% cross-validated accuracy for Autism Spectrum Disorder (ASD) and neurotypical classification and produced clear, explainable maps of the brain regions most influential to its decisions.