[R] Can Autonomous Vehicles Self-Learn the Rules of the Road? Computer Science |
- [R] Can Autonomous Vehicles Self-Learn the Rules of the Road?
- [R] NVIDIA Neural Talking-Head Synthesis Makes Video Conferencing 10x More Bandwidth Efficient
- [N] AAAI 2021 Announces Paper Totals – ‘Amazingly High Technical Level’
- We put together a list of our Top 30 Women Aiding AI Advancement in 2020 - Some great recommendations from our community!
- A quick question about CRC in Networks
- Need Data Compression Project Ideas/Help
- Mathematics graduate program??
- Steps to Declutter your Digital Headspace
| [R] Can Autonomous Vehicles Self-Learn the Rules of the Road? Posted: 03 Dec 2020 12:20 PM PST What if, instead of hard-coding road rules into self-driving algorithms, AI agents were free to come up with their own ways of safely and efficiently sharing the road? That's the premise of an international research team's new paper, which looks at what happens when AI agents in driving environments are simply tasked with getting to destinations as quickly as possible without crashing into one another. Here is a quick read: Can Autonomous Vehicles Self-Learn the Rules of the Road? The paper Emergent Road Rules in Multi-Agent Driving Environments is on arXiv, and the code is on GitHub. [link] [comments]  |
| [R] NVIDIA Neural Talking-Head Synthesis Makes Video Conferencing 10x More Bandwidth Efficient Posted: 02 Dec 2020 02:07 PM PST In the new paper One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing, Nvidia researchers detail a novel AI-based video compression technology solution that's earning praise across the ML community. The approach dramatically reduces bandwidth requirements by sending only a keypoint representation [of faces] and reconstructing the source video on the receiver side with the help of generative adversarial networks (GANs) to synthesize the talking heads. Here is a quick read: NVIDIA Neural Talking-Head Synthesis Makes Video Conferencing 10x More Bandwidth Efficient The paper One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing is on arXiv. [link] [comments]  |
| [N] AAAI 2021 Announces Paper Totals – ‘Amazingly High Technical Level’ Posted: 03 Dec 2020 12:41 PM PST AAAI 2021 has officially announced its paper submission and selection numbers. Organized by the Association for the Advancement of Artificial Intelligence, AAAI is one of the world's leading artificial intelligence conferences. The highly anticipated announcement came from Kevin Leyton-Brown, University of British Columbia Professor of Computer Science and AAAI 2021 program Co-Chair. Professor Brown says AAAI 2021 received a record-high 9034 submissions compared to last year's 8800. Over 7911 papers went to review and a total of 1692 papers made it, for an acceptance rate of 21 percent, just 0.4 percent higher than last year's 20.6. Here is a quick read: AAAI 2021 Announces Paper Totals – 'Amazingly High Technical Level' [link] [comments]  |
| Posted: 02 Dec 2020 09:54 AM PST |
| A quick question about CRC in Networks Posted: 02 Dec 2020 08:46 PM PST This is from my textbook "Computer Networking: A top-down approach", 6th edition by Kurose and Ross". The computation seems not very complicated. My understanding is: given d-bit data string D and (r+1)-bit generator string G, we compute r-bit CRC string R = (D << r) % G. Then we append R to D and get a (d+r)-bit message that is divisible by G which can be verified by the receiver. But I don't see why D concatenate R is divisible by G. For the example at the very end, message 0b101110011 divided by generator 0b1001 gives a remainder of 2, not 0. [link] [comments]  |
| Need Data Compression Project Ideas/Help Posted: 03 Dec 2020 02:26 AM PST Hi. So in our Data structure course we picked the data compression project and unforunately our proposal was reject and my group was asked to come up with more feature in our data compression project. We are already doing hybrid text based compression (lzw + huffman) but what other features can I add to the project to make our course professor approve it? :) [link] [comments]  |
| Mathematics graduate program?? Posted: 03 Dec 2020 07:20 AM PST I am currently finalizing my computer science undergrad degree and thinking about my higher studies. I came across some scholarship programs for applied maths and was contemplating whether a math MS degree would be beneficial for me to land a job in the future. I am not really sure what kind of career options I can be open to with my background. Any opinions would be nice 😊 [link] [comments]  |
| Steps to Declutter your Digital Headspace Posted: 02 Dec 2020 03:57 PM PST |
| You are subscribed to email updates from Computer Science: Theory and Application. To stop receiving these emails, you may unsubscribe now. | Email delivery powered by Google |
| Google, 1600 Amphitheatre Parkway, Mountain View, CA 94043, United States | |
No comments:
Post a Comment