Toggle light / dark theme

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.

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 .

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 caught at later stages kills people. This new technology gets us closer to a world where people will receive a 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 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%.

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.

Aniai, a startup that has built a burger-grilling robot, Alpha Grill, said today it has raised $12 million, bringing its total raise to $15 million. The money will go toward launching its first manufacturing facility, Factory One, in South Korea. The firm will also be deploying a cloud-based AI software platform for the robot called Alpha Cloud.

Robot adoption in the restaurant business is becoming popular as it can help restaurants address their high pain points like labor shortages, and rising wage issues. Robotics enables restaurants to save 30% to 70% of labor costs, and restaurants could replace more than 80% of restaurant positions with robots, according to a research report.

“Burger chains hire six to eight kitchen staff per shift to grill burgers,” Aniai CEO Gunpil Hwang said. “Alpha Grill enables restaurants to engage only one staff member to grill burgers.”