ScienceDaily: Computers and Internet News |
- Chemistry: New math technique improves atomic property predictions to historic accuracy
- Collaborative learning -- for robots: New algorithm
- 3-D computer model may help refine target for deep brain stimulation therapy for dystonia
| Chemistry: New math technique improves atomic property predictions to historic accuracy Posted: 25 Jun 2014 11:12 AM PDT By combining advanced mathematics with high-performance computing, scientists have developed a tool that allowed them to calculate a fundamental property of most atoms on the periodic table to historic accuracy, reducing error by a factor of a thousand in many cases. The technique also could be used to determine a host of other atomic properties important in fields like nuclear medicine and astrophysics.  |
| Collaborative learning -- for robots: New algorithm Posted: 25 Jun 2014 10:24 AM PDT Machine learning, in which computers learn new skills by looking for patterns in training data, is the basis of most recent advances in artificial intelligence, from voice-recognition systems to self-parking cars. It's also the technique that autonomous robots typically use to build models of their environments. A new algorithm lets independent agents collectively produce a machine-learning model without aggregating data.  |
| 3-D computer model may help refine target for deep brain stimulation therapy for dystonia Posted: 25 Jun 2014 07:11 AM PDT Using a complex set of data from records and imaging scans of patients who have undergone successful DBS implantation, researchers have created 3-D, computerized models that map the brain region involved in dystonia. The models identify an anatomical target for further study and provide information for neurologists and neurosurgeons to consider when planning surgery and making device programming decisions.  |
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