artificial intelligence show potential
Imaging and Artificial Intelligence Shows Potential in Olive Oil Production
In an article published in the journal Foods, researchers tested a CNN algorithm to assess its potential for olive classification for industrial purposes, specifically its potential integration and sorting performance evaluation. A staple of the Mediterranean diet is olive oil. Italy produces extra virgin olive oil (EVOO), which is well-known around the globe due to its high nutritional content. Therefore, it is critical to process the harvested olives and to take extra care during mechanical harvesting to prevent internal damage, which might impair the quality of the finished product, and to preserve the chemical and sensory quality criteria of EVOO. Optoelectronic equipment is often used to improve batch quality and the sorting and grading of items.
- Health & Medicine > Consumer Health (0.82)
- Energy > Oil & Gas > Upstream (0.40)
Artificial Intelligence Shows Potential to Gauge Voter Sentiment
The Morning Download delivers daily insights and news on business technology from the CIO Journal team. "I wouldn't fire the pollsters, but I would direct them to try to leverage machine learning, data mining and AI in their work more to get better projections," said Oren Etzioni, chief executive of the Allen Institute for AI, a nonprofit research center in Seattle. The size of this year's polling error is still unknown as the vote count continues. But polls generally predicted clear Democratic gains, not cliffhangers. No person or algorithm can predict human behavior accurately all the time, said Heidi Messer, chairman of New York-based Collective[i], which offers AI and predictive technologies for sales teams.
- North America > United States > New York (0.25)
- North America > United States > California > San Luis Obispo County > San Luis Obispo (0.05)
Artificial Intelligence Shows Potential to Gauge Voter Sentiment
The Morning Download delivers daily insights and news on business technology from the CIO Journal team. "I wouldn't fire the pollsters, but I would direct them to try to leverage machine learning, data mining and AI in their work more to get better projections," said Oren Etzioni, chief executive of the Allen Institute for AI, a nonprofit research center in Seattle. The size of this year's polling error is still unknown as the vote count continues. But polls generally predicted clear Democratic gains, not cliffhangers. No person or algorithm can predict human behavior accurately all the time, said Heidi Messer, chairman of New York-based Collective[i], which offers AI and predictive technologies for sales teams.
- North America > United States > New York (0.25)
- North America > United States > North Carolina (0.05)
- North America > United States > California > San Luis Obispo County > San Luis Obispo (0.05)
Artificial Intelligence Shows Potential to Fight Blindness
Researchers from the Byers Eye Institute at Stanford University have found a way to use artificial intelligence to fight a complication of diabetes that affects the eyes. This advance has the potential to reduce the worldwide rate of vision loss due to diabetes. In a study published online in Ophthalmology, the journal of the American Academy of Ophthalmology, the researchers describe how they used deep-learning methods to create an automated algorithm to detect diabetic retinopathy. Diabetic retinopathy (DR) is a condition that damages the blood vessels at the back of the eye, potentially causing blindness. "What we showed is that an artificial intelligence-based grading algorithm can be used to identify, with high reliability, which patients should be referred to an ophthalmologist for further evaluation and treatment," said Theodore Leng, M.D., lead author.
- Health & Medicine > Therapeutic Area > Ophthalmology/Optometry (1.00)
- Health & Medicine > Therapeutic Area > Endocrinology > Diabetes (1.00)
Artificial Intelligence Shows Potential to Fight Blindness - American Academy of Ophthalmology
Researchers from the Byers Eye Institute at Stanford University have found a way to use artificial intelligence to fight a complication of diabetes that affects the eyes. This advance has the potential to reduce the worldwide rate of vision loss due to diabetes. In a study published online in Ophthalmology, the journal of the American Academy of Ophthalmology, the researchers describe how they used deep-learning methods to create an automated algorithm to detect diabetic retinopathy. Diabetic retinopathy (DR) is a condition that damages the blood vessels at the back of the eye, potentially causing blindness. "What we showed is that an artificial intelligence-based grading algorithm can be used to identify, with high reliability, which patients should be referred to an ophthalmologist for further evaluation and treatment," said Theodore Leng, M.D., lead author.
- Press Release (0.69)
- Research Report > New Finding (0.36)
- Health & Medicine > Therapeutic Area > Ophthalmology/Optometry (1.00)
- Health & Medicine > Therapeutic Area > Endocrinology > Diabetes (1.00)