Category: author_name|Malak Saleh
Researchers quantify the carbon footprint of generating AI images
Researchers at the AI startup Hugging Face collaborated with Carnegie Mellon University and discovered that generating an image using artificial intelligence, whether it's to create stock images or realistic ID photos, has a carbon footprint equivalent to charging a smartphone. However, researchers discern that generating text, whether it be to…
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MIT tests new ingestible sensor that records your breathing through your intestines
MIT researchers developed an ingestible capsule that can monitor vital signs including heart rate and breathing patterns from within a patient’s GI tract. The scientists also say that the novel device has the potential to also be used to detect signs of respiratory depression during an opioid overdose. Giovanni Traverso,…
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Researchers developed a gene-editing technology that reduces ‘bad’ cholesterol
In a trial run by Verve Therapeutics, a Cambridge–based biotech company, researchers discovered that a single infusion of a gene-editing treatment called VERVE-101 was able to reduce cholesterol levels in patients. This treatment was tested in individuals with hereditary conditions that made them susceptible to developing clogged arteries and heart…
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Researchers use magnetic fields for non-invasive blood glucose monitoring
Synex Medical, a Toronto-based biotech research firm backed by Sam Altman (the CEO of OpenAI), has developed a tool that can measure your blood glucose levels without a finger prick. It uses a combination of low-field magnets and low-frequency radio waves to directly measure blood sugar levels non-invasively when a…
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Apple Pay Later is available to everyone in the US
Apple’s buy now, pay later system is finally available to all customers in the US after its soft launch back in March. To pay later and begin making equal payments over the course of six weeks, you must be set up on Apple Pay with an eligible debit card. There…
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Study: Wearable sensors more accurately track Parkinson’s disease progression than traditional observation
In a study from Oxford University, researchers found that by using a combination of wearable sensor data and machine learning algorithms the progression of Parkinson’s disease can be monitored more accurately than in traditional clinical observation. Monitoring movement data collected by sensor technology may not only improve predictions about disease…
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