The crackle of electricity inside your brain has long been too complex to decode. Artificial intelligence is changing that.
When Hend Alqaderiwas studying how saliva could predict the risk of diabetes or the severity of a coronavirus infection, she collected a lot of saliva samples-thousands, measuring hundreds of bacteria ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...
Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI ...
Examining the difficulties in training LLMs to handle contemporary creative writing styles. Julia Cameron, a renowned American writer, argues in her book The Artist’s Way that creativity is not an ...
A panel of gaming industry leaders spoke on the impact of AI on gambling, from responsible gaming to AI's effect on the casino job market.
Using machine learning, an electronic nose can “smell” early signs of ovarian cancer in the blood. The method is precise and, according to the researchers behind the study, it could eventually be used ...
AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...
Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...
Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
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