ICYMI: INTRODUCING MORPHEUS-1 The world’s first multi-modal generative ultrasonic transformer designed to induce and stabilize lucid dreams according to Porphetic #AI Available for beta users Spring 2024.
Startup company Prophetic is set to unveil the “Halo” device to induce lucid dreaming, Fortune reports.
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The iCub3 robot avatar system has been designed to facilitate the embodiment of humanoid robots by human operators, encompassing aspects such as locomotion, manipulation, voice, and facial expressions with comprehensive sensory feedback, including visual, auditory, haptic, weight, and touch modalities.
The iCub3 avatar system consists primarily of the iCub3 humanoid robot, an evolved version of the IIT’s humanoid robot born two decades ago, and innovative wearable technologies named iFeel.
A team of researchers at Facebook’s parent company Meta has come up with a new benchmark to gauge the abilities of AI assistants like OpenAI’s large language model GPT-4.
And judging by current standards, OpenAI’s current crop of AI models are all… still pretty stupid.
The team, which includes “AI godfather” and Meta chief scientist Yann LeCun, came up with an exam called GAIA that’s made up of 466 questions that “are conceptually simple for humans yet challenging for most advanced AIs,” per a yet-to-be-peer-reviewed paper.
The tool, Nightshade, introduces subtle alterations into an image to confuse AI models and “poison” their training data.
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Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.
Artificial intelligence (AI) has become an indispensable component in the analysis of microscopic data. However, while AI models are becoming better and more complex, the computing power and associated energy consumption are also increasing.
Researchers at the Leibniz-Institut für Analytische Wissenschaften (ISAS) and Peking University have therefore created a free compression software that allows scientists to run existing bioimaging AI models faster and with significantly lower energy consumption.
The researchers have presented their user-friendly toolbox, called EfficientBioAI, in an article published in Nature Methods.
Researchers at City of Hope and Translational Genomics Research Institute (TGen) have developed and tested an innovative machine-learning approach that could one day enable the earlier detection of cancer in patients by using smaller blood draws. The study is published in the journal Science Translational Medicine.
“A huge body of evidence shows that cancer caught at later stages kills people. This new technology gets us closer to a world where people will receive a blood test annually to detect cancer earlier when it is more treatable and possibly curable,” said Cristian Tomasetti, Ph.D., corresponding author of the new study and director of City of Hope’s Center for Cancer Prevention and Early Detection.
Tomasetti explained that 99% of people diagnosed with Stage 1 breast cancer will be alive five years later; however, if it is found at Stage 4, when disease has spread to other organs, the five-year survival drops to 31%.
Quantum computing is one of the most transformational technological breakthroughs of our lives, and it’s likely to supercharge the AI Boom.
Summary: Researchers made a significant discovery using an artificial neural network model, suggesting that musical instinct may emerge naturally from the human brain. By analyzing various natural sounds through Google’s AudioSet, the team found that certain neurons in the network selectively responded to music, mimicking the behavior of the auditory cortex in real brains.
This spontaneous generation of music-selective neurons indicates that our ability to process music may be an innate cognitive function, formed as an evolutionary adaptation to better process sounds from nature.
