You're referring to the 2015 version of artificial intelligence!

2015 was an exciting year for AI, with several significant developments and advancements in the field、Here are some highlights:

1、Deep Learning gains traction: Deep learning techniques, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), continued to gain popularity and achieve stateoftheart results in various tasks like image recognition, speech recognition, and natural language processing.
2、Resurgence of Neural Networks: The success of deep learning led to a renewed interest in neural networks, which had been around since the 1940s、Researchers began exploring new architectures, such as long shortterm memory (LSTM) networks and residual networks (ResNets).
3、ImageNet Large Scale Visual Recognition Challenge (ILSVRC): The ILSVRC competition, which ran from 2010 to 2017, saw significant improvements in image classification accuracy、In 2015, the winning entry, ResNet, achieved an error rate of 3.57%, surpassing humanlevel performance.
4、Microsoft's Deep Learningbased Speech Recognition: Microsoft researchers achieved a major breakthrough in speech recognition using deep learning techniques, achieving a word error rate of 6.3% on a benchmark dataset, comparable to human performance.
5、AlphaGo: Although AlphaGo, the AI system developed by Google DeepMind, didn't gain widespread attention until 2016, its development began in 2014 and continued through 2015、AlphaGo would eventually defeat a human world champion in Go in 2016.
6、Increased Adoption of AI in Industry: 2015 saw increased adoption of AI in various industries, including healthcare, finance, and customer service、Companies began exploring applications like chatbots, predictive analytics, and image analysis.

Some notable AIrelated releases and announcements in 2015 include:

* TensorFlow: Google opensourced TensorFlow, a popular deep learning framework, in November 2015.
* Microsoft Cognitive Toolkit (CNTK): Microsoft released CNTK, a deep learning framework, in January 2015.
* DeepMind's DQN: Google DeepMind published a paper on Deep QNetworks (DQN), a type of reinforcement learning algorithm, in February 2015.

These advancements and releases laid the foundation for the continued growth and development of AI in the years that followed.