نتائج البحث
Evolution strategies as a scalable alternative to reinforcement learning
We’ve discovered that evolution strategies (ES), an optimization technique that’s been known for decades, rivals the performance of standard reinforcement learning (RL) techniques on modern RL benchmarks (e.g. Atari/MuJoCo), while overcoming many of RL’s inconveniences.
One-shot imitation learning
One-shot imitation learning
Distill
We’re excited to support today’s launch of Distill, a new kind of journal aimed at excellent communication of machine learning results (novel or existing).
Distill
We’re excited to support today’s launch of Distill, a new kind of journal aimed at excellent communication of machine learning results (novel or existing).
Learning to communicate
In this post we’ll outline new OpenAI research in which agents develop their own language.
Learning to communicate
In this post we’ll outline new OpenAI research in which agents develop their own language.
Emergence of grounded compositional language in multi-agent populations
Emergence of grounded compositional language in multi-agent populations
"مفوضى الدولة" توصى بعدم إلزام الصحة بالاعتراف بالطب البديل..وتؤكد: خرافات - اليوم السابع
"مفوضى الدولة" توصى بعدم إلزام الصحة بالاعتراف بالطب البديل..وتؤكد: خرافات اليوم السابع
Prediction and control with temporal segment models
Prediction and control with temporal segment models
Third-person imitation learning
Third-person imitation learning
40 % من مستعملي التراموي في العاصمة لا يدفعون - الجزائر اليوم
40 % من مستعملي التراموي في العاصمة لا يدفعون الجزائر اليوم
Attacking machine learning with adversarial examples
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them can be difficult.
Attacking machine learning with adversarial examples
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them can be difficult.
Tawasul Transport drives green innovation by launching first hydrogen-powered taxi in Abu Dhabi
The Emirate of Abu Dhabi is set for its first green-hydrogen-powered smart taxi experience. Tawasul Transport, a leading transport company, is collaborating with ADNOC, the Integrated Transport Center (ITC) and Al Futtaim Motors, to create this trailblazing sustainable urban mobility initiative. The...
أخصائى أطفال يحذر: فيروس «الروتا» قاتل ولا يوجد علاج له - elzmannews.com
أخصائى أطفال يحذر: فيروس «الروتا» قاتل ولا يوجد علاج له elzmannews.com
Tawasul Transport Launches Abu Dhabi’s First Hydrogen-Powered Taxi
Tawasul Transport, in collaboration with ADNOC, ITC, and Al Futtaim Motors, has introduced Abu Dhabi's first hydrogen-powered taxi, marking a significant advancement in sustainable urban mobility. The post Tawasul Transport Launches Abu Dhabi’s First Hydrogen-Powered Taxi first appeared on Tawasul T...