- Can Artificial Intelligence Learn From A Child's Language Acquisition Process? - 1 Update
- About Deepmind's PathNet.. - 1 Update
- Read again, i correct - 1 Update
- Google DeepMind publishes breakthrough Artificial General - 1 Update
- Researchers illuminate the path to a new era of microelectronics - 1 Update
- Path to a new era of microelectronics - 1 Update
| Sky89 <Sky89@sky68.com>: Apr 22 01:26AM -0400 Hello, Read this: Can Artificial Intelligence Learn From A Child's Language Acquisition Process? Read more here: https://analyticsindiamag.com/can-artificial-intelligence-learn-from-a-childs-language-acquisition-process/ Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Apr 21 11:54PM -0400 Hello.... About Deepmind's PathNet.. I have read more about Deepmind's PathNet, and i have noticed that we are going from 'narrow artificial intelligence' to successfully addressing the three requirements of an artificial general intelligence like: positively transfer trained knowledge in supervised learning classification tasks and reinforcement learning tasks, read the following to notice it: Artificial intelligence up to now, including DeepMind's AlphaGo, have been limited to perform well only for a specific task - hence the term 'narrow artificial intelligence.' But researchers are beginning to embrace the arrival of artificial general intelligence, an AI that can perform any task that a human can. In their recent paper, Google DeepMind proposes a method into training AGI by using genetic algorithm. So how well does PathNet perform in action? DeepMind's experiments show that PathNet is faster than fine-tuning, and does positively transfer trained knowledge in supervised learning classification tasks and reinforcement learning tasks - successfully addressing the three requirements of an AGI. Read more here: http://www.deepbio.co.kr/2017/03/20/Weekly-paper-DeepMinds-PathNet.html Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Apr 21 11:34PM -0400 Hello.... Read again, i correct: Google DeepMind publishes breakthrough Artificial General Intelligence architecture DeepMind is trying to create a new Artificial General Intelligence architecture by creating an adaptable, massive neural network that draws on thousands of other "sub" neural networks. The new PathNet model includes a mix of transfer learning, continual learning and multitask learning and it's thought that all of these are essential in order to create a more continuously adaptive network, which, again, it's thought will be necessary if we're to create an AGI. Read more here: https://www.fanaticalfuturist.com/2017/03/bad-news-for-jobs-fabled-artificial-general-intelligence-could-arrive-much-earlier-than-expected/ Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Apr 21 11:31PM -0400 Hello, Read this: Google DeepMind publishes breakthrough Artificial General DeepMind is trying to create a new Artificial General Intelligence architecture by creating an adaptable, massive neural network that draws on thousands of other "sub" neural networks. The new PathNet model includes a mix of transfer learning, continual learning and multitask learning and it's thought that all of these are essential in order to create a more continuously adaptive network, which, again, it's thought will be necessary if we're to create an AGI. Read more here: https://www.fanaticalfuturist.com/2017/03/bad-news-for-jobs-fabled-artificial-general-intelligence-could-arrive-much-earlier-than-expected/ Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Apr 21 02:09PM -0400 Hello.. Researchers illuminate the path to a new era of microelectronics New manufacturing process will enable photonic communication in consumer devices The new platform, which brings photonics to state-of-the-art bulk silicon microelectronic chips, promises faster and more energy efficient communication that could vastly improve computing and mobile devices. Applications beyond traditional data communication include accelerating the training of deep-learning artificial neural networks used in image and speech recognition tasks, and low-cost infrared LIDAR sensors for self-driving cars, smartphone face identification and augmented reality technology. In addition, optically enabled microchips could enable new types of data security and hardware authentication, more powerful chips for mobile devices operating on 5th generation (5G) wireless networks, and components for quantum information processing and computing. "Instead of a single wire carrying 10 to 100 gigabits per second, you can have a single optical fiber carrying 10 to 20 terabits per second -- so about a thousand times more in the same footprint," says Popovic. Read more here: http://www.bu.edu/eng/2018/04/18/a-new-era-of-microelectronics/ Thank you, Amine Moulay Ramdane. |
| Sky89 <Sky89@sky68.com>: Apr 21 01:56PM -0400 Hello, Read this: Path to a new era of microelectronics New manufacturing process will enable photonic communication in consumer devices Researchers from Boston University, Massachusetts Institute of Technology, the University of California Berkeley and University of Colorado Boulder have developed a method to fabricate silicon chips that can communicate with light and are no more expensive than current chip technology. The result is the culmination of a several-year-long project funded by the Defense Advanced Research Project Agency that was a close collaboration between teams led by Associate Professor Vladimir Stojanovic of UC Berkeley, Professor Rajeev Ram of MIT, and Assistant Professor Milos Popovic from Boston University and previously CU Boulder. They collaborated with a semiconductor manufacturing research team at the Colleges of Nanoscale Science and Engineering (CNSE) of the State University of New York at Albany. "Instead of a single wire carrying 10 to 100 gigabits per second, you can have a single optical fiber carrying 10 to 20 terabits per second -- so about a thousand times more in the same footprint," says Popovic. Read more here: https://www.sciencedaily.com/releases/2018/04/180420170551.htm Thank you, Amine Moulay Ramdane. |
| You received this digest because you're subscribed to updates for this group. You can change your settings on the group membership page. To unsubscribe from this group and stop receiving emails from it send an email to comp.programming.threads+unsubscribe@googlegroups.com. |
No comments:
Post a Comment