Deepfake is a word that is fashionable: it is about computer-generated images (in the form of photos and videos) that imitate the human appearance. Sometimes they mimic someone real, like a celebrity or acquaintance. But sometimes they are completely unique fake faces. It may be a way to create any new person on the internet, but in the realms of politics, cybersecurity, counterfeiting, and border control, deepfakes are of great concern. However, it seems that the human brain is really good at recognizing fake faces.

The team behind Apache Flink has released Apache Flink ML in version 2.0. This is an accompanying library for machine learning purposes for the framework for processing data streams. Apache Flink ML provides both APIs and infrastructure to build stream-batch unified ML algorithms. These should be easy to use and offer almost real-time latency. The current release should make a significant contribution to expanding Apache Flink to new use cases from the machine learning area, in particular real-time ML scenarios.

At the end of last month, a set of principles and advice on ethics in the use of Artificial Intelligence (AI) was known, adopted for the first time jointly and unanimously by the 193 member states of the General Council of the UNESCO. Beyond the uniqueness of its universal character, it is about Unesco launched a guide to improve the relationship between humans and robots and combines ethical issues to a warning voice that has been heard for a long time. There are already several international political organizations that have been warning about the need to provide an ethical component to what is undoubtedly the most notable advance in applied science of our time. In fact, in November but from '19 the European Union (EU) had published its Ethical Guidelines for a reliable artificial intelligence whose proposal revolves around the collateral effects, or unforeseen risks, that the implementation of disruptive technologies like this can generate. Likewise, in April of this year we learned about the European Commission regulation regarding the use of algorithms able to learn and make decisions.

Joystick and AI to recognize targets.

The federal government wants to invest five billion euros by 2025 as part of its AI strategy. The aim is to make Germany "a leading location for the development and application of AI technologies". This market is already developing very dynamically: According to IDC, over 50 billion US dollars were spent on artificial intelligence systems last year. The 100 billion mark is to be cracked by 2024, according to the infographic from Statista and Technology Review shows. In relation to this, the public investments make a rather clear impression.

Artificial intelligence helps developers code, but can it also replace developer know-how? The article sheds light on the current state of research. Article Source Disclaimer: This article is generated from the feed and not edited ... Read more

Artificial intelligence is also on the advance in IT security. According to a survey of 300 managers, 96 percent reported preparations in their companies for AI-supported IT attacks. In doing so, they partly rely on the help of "defensive AI". The survey was carried out with the assistance of the AI cybersecurity provider Darktrace. A survey of around 200 IT managers in medium-sized companies came to a more differentiated result.

The specialists of the Academy of Artificial Intelligence in Beijing (China) this week presented the most sophisticated natural language processing model in the world, which uses 1.75 trillion parameters to simulate conversational speech, write poems, understand images and even generate recipes, pick up the South China Morning Post newspaper. El WuDao 2.0, which in Chinese means'understanding of natural laws', is a previously trained artificial intelligence model that was developed with the help of more than 100 scientists. It is more powerful than the models of its main competitors: the GPT-3 from the company OpenAI (co-founded by Elon Musk), which was launched with 175,000 million parameters, and the Switch Transformer from Google, which uses 1.6 trillion parameters. The model develops both in Chinese and English acquired skills as you have'studied' 4.9 terabytes of images and texts, including 1.2 terabytes of text in those two languages. WuDao 2.0 already has 22 partners, such as smartphone maker Xiaomi or short video giant Kuaishou.