Many people considered it a "formless blur of colors," an image that was abstract but slightly resembling a human face. The image isn't even properly positioned on the canvas, rather it is skewed towards the northwest. In October 2018, this "art piece": Portrait of Edmond de Belamy, an algorithm-generated print, was sold for $432,500, thus beginning the AI-Art goldRush. Humans have always created and enjoyed all forms of art, for viewing purposes, for aesthetic purposes, and even for therapeutic purposes. Since the discoveries of an artistic shell carved by homoerectus, the art business has grown in leaps and bounds and become a highly profitable industry.

Singapore is in the midst of a three-week trial for a pair of autonomous robots that patrol the public for "undesirable social behaviors" that include smoking in prohibited areas and violating COVID-19 gathering regulations. The pair of robots, known as Xavier, are equipped with cameras that can provide 360-degree footage and sensors that allow them to navigate in public and analyze potential public safety violations. According to a press release from the Home Team Science and Technology Agency, if Xavier detects an undesirable behavior, it will alert a public officer control center and officers can respond in person or remotely via the robot's interactive dashboard. Five Singaporean government agencies are involved in the testing of Xavier. "The deployment of ground robots will help to augment our surveillance and enforcement resources," said Lilly Ling, the Singapore Food Agency's East Regional Office Director, in a press release.

Now, it's also the latest company to seek an edge in artificial intelligence by making its own silicon chips. At a promotional event last month, Tesla revealed details of a custom AI chip called D1 for training the machine-learning algorithm behind its Autopilot self-driving system. The event focused on Tesla's AI work and featured a dancing human posing as a humanoid robot the company intends to build. Tesla is the latest nontraditional chipmaker to design its own silicon. As AI becomes more important and costly to deploy, other companies that are heavily invested in the technology--including Google, Amazon, and Microsoft--also now design their own chips.

Our mushy brains seem a far cry from the solid silicon chips in computer processors, but scientists have a long history of comparing the two. As Alan Turing put it in 1952: "We are not interested in the fact that the brain has the consistency of cold porridge." Today, the most powerful artificial intelligence systems employ a type of machine learning called deep learning. Their algorithms learn by processing massive amounts of data through hidden layers of interconnected nodes, referred to as deep neural networks. As their name suggests, deep neural networks were inspired by the real neural networks in the brain, with the nodes modeled after real neurons -- or, at least, after what neuroscientists knew about neurons back in the 1950s, when an influential neuron model called the perceptron was born.

Low-code platforms improve the speed and quality of developing applications, integrations, and data visualizations. Instead of building forms and workflows in code, low-code platforms provide drag-and-drop interfaces to design screens, workflows, and data visualizations used in web and mobile applications. Low-code integration tools support data integrations, data prep, API orchestrations, and connections to common SaaS platforms. If you're designing dashboards and reports, there are many low-code options to connect to data sources and create data visualizations. If you can do it in code, there's probably a low-code or no-code technology that can help accelerate the development process and simplify ongoing maintenance.

Everyone is talking about artificial intelligence (AI) and machine learning, and some people in the legal field are already taking advantage of these technological capabilities. However, the extraordinary progress in legal AI technology has some lawyers worried about their prospects in their chosen profession, fearing that AI will soon replace them. This fear is unfounded because it is challenging for AI and machine learning technology to replace the job of a legal professional. On the contrary, technology enables growth and productivity since it increases accuracy, making legal work more efficient. AI algorithms can transform several tasks, offering excellent corporate compliance, contract management, discovery, and due diligence.

This article is brought to you thanks to the collaboration of The European Sting with the World Economic Forum. One of the popular memes in literature, movies and tech journalism is that man's creation will rise and destroy it. Lately, this has taken the form of a fear of AI becoming omnipotent, rising up and annihilating mankind. The economy has jumped on the AI bandwagon; for a certain period, if you did not have "AI" in your investor pitch, you could forget about funding. However, is there actually anything deserving of the term AI?

Can you imagine walking through a store and being served by a robot? Something like this will happen in the electronics department of the Palacio de Hierro located in Polanco, Mexico City. A robot developed by Intel will be the department store's new advisor, it will help users choose computers and other electronic devices. The humanoid combines artificial intelligence with the internet of things and cloud services. The robot has the ability to answer common questions through its voice interaction, as well as profile what each user will need and move to the correct counter to show the customer the product.

The judge said that most of the lawsuit could move forward, despite Apple's request to have it thrown out. Judge Jeffrey S. White, of federal district court in Oakland, did dismiss one piece involving users' economic harm. But he ruled that the plaintiffs, who are trying to make the suit a class action case, could continue pursuing claims that Siri turned on unprompted and recorded conversations that it shouldn't have and passed the data along to third parties, therefore violating user privacy.