AI Technology & Industry Review
A research team from UC Berkeley, University of Maryland and UC Irvine identifies pitfalls that cause instability in the GPT-3 language model and proposes a contextual calibration procedure that improves accuracy by up to 30 percent.
UC Berkeley, Facebook AI Research and New York University researchers’ Multiple Sequence Alignments (MSA) Transformer surpasses current state-of-the-art unsupervised structure learning methods by a wide margin.
A team of researchers from Facebook and UC Berkeley has proposed a new paradigm for computer vision.
As robots take over industrial manufacturing, specific and accurate robot control is becoming more important. Conventional feedback control methods can effectively solve various types of robot control problems by capturing structures with explicit models such as motion equations.
The International Conference on Machine Learning (ICML) 2018 will be held July 10 – 15 in Stockholm, Sweden. Yesterday, from more than 600 accepted papers, the prestigious conference announced its Best Paper Awards.
The 2018 Conference on Computer Vision and Pattern Recognition (CVPR) opened today in Salt Lake City, USA. The CVPR organizing committee used the occasion to announce its coveted Best Paper and Best Student Paper selections.
Apollo Scape was released under Baidu’s autonomous driving platform Apollo, which Baidu hopes will become “the Android of the auto industry.” Apollo gives developers access to a complete set of service solutions and open-source codes and…
The goal of this report is to inspire our readers in the field of distributed machine learning and invite more to join our discussion to exchange knowledge and contribute to our intellectual community.
“To pretend science is morally neutral, and that you can develop anything and have clean hands because it is someone else using it to kill people is extremely naive, and scientists should know that.” – UC Berkeley’s Dr. Stuart Russell