AI has proven to have a considerable impact on some major industries. While autonomous cars and virtual assistants are slowly becoming a reality, the creative industry has been experimenting with AI for several years already. Does it have meaningful implications and if so, what will it bring in the future? It's universally agreed that the first computer-assisted music score dates back to 1957 when composers Lejaren Hiller and Leonard Isaacson unveiled Illiac Suite for string quartet. Utilizing the interconnection between mathematics and music, Hiller was able to program the computer to come up with a stunning four-piece musical score. One of the most notable AI-assisted music projects happened two years ago.

Therefore, it is essential, in thinking about'ethics', to look beyond the capacities for ethical decision-making and action and the moments of ethical choice and action and into the background of values and the stories behind the choice and action. Similar arguments have been made to affirm the role of social and relational contexts in limiting ethical choices and shaping moral outcomes, and thus the importance to account for them in our ethical reflection.

One area that the Commission is particularly concerned about is facial recognition. At the moment, the processing of biometric data in order to identify people is illegal in most cases, under data privacy laws. However, the EU is now looking at whether there should be certain exceptions. Speaking to journalists in Brussels, Margrethe Vestager, the EU's head of competition policy, said: "Artificial intelligence is not good or bad in itself, it all depends on why and how it is used." In an exclusive interview with CNBC Tuesday, Vestager said that the EU is taking a "double-sided" approach where it will enable this technology, while also ensuring it's not harmful to EU citizens.

When it comes to artificial intelligence, it is hard to keep Google away from bringing in a new array of services and products on a regular basis. In the month of January, the tech giant launched a number of products such as LaserTagger, Meena and Reformer, to name a few. Just like the previous month, Google has rolled down a number of new tools/techniques to look at, which will benefit a host of people in regard to artificial intelligence and other related streams. Here is a list of the products launched by Google in February 2020. In recent times, transfer learning has helped natural learning processing (NLP) reach new heights, which happened due to the pre-training of models on the unlimited availability of unlabeled text data.

As a consequence, a powerful technology with great potential for good is at the moment deployed mainly for privatised gain. In the process, it has been characterised by unregulated premature deployment, algorithmic bias, reinforcing inequality, undermining democratic processes and boosting covert surveillance to toxic levels. That it doesn't have to be like this was vividly demonstrated last week with a report in the leading biological journal Cell of an extraordinary project, which harnessed machine learning in the public (as compared to the private) interest. The researchers used the technology to tackle the problem of bacterial resistance to conventional antibiotics – a problem that is rising dramatically worldwide, with predictions that, without a solution, resistant infections could kill 10 million people a year by 2050.

Artificial intelligence is technology in which machines are given the ability to perform tasks that normally require humanlike thinking. Types of AI include machine learning and neural networks. It has a broad range of possible uses in transportation, health care, entertainment, education, agriculture, manufacturing, cybersecurity, and national defense. Current uses are "narrow AI," where the system does one specific task, such as recognizing images. In contrast, a "general AI" system would work more broadly and uses more of the human abilities to learn and to apply that knowledge to new areas.

Ethical concerns around potential job loss, facial recognition, and bias have been raised surrounding the future impact of artificial intelligence on society. On Friday those concerns were elevated to a "higher authority," with IBM and Microsoft lending support to a set of ethical principles backed by the Vatican. Such principles were outlined in a document titled "Rome Call For AI Ethics," and promotes a regulatory approach around what is being called an "algor-ethical" vision of design, with transparency, inclusion, responsibility, impartiality, reliability, security and privacy all factored in. "AI systems must be conceived, designed and implemented to serve and protect human beings and the environment in which they live," the document reads. "It must include every human being, discriminating against no one; it must have the good of humankind and the good of every human being at its heart; finally, it must be mindful of the complex reality of our ecosystem and be characterized by the way in which it cares for and protects the planet…."

A 3D-printed prosthetic hand controlled using a new AI-based approach could significantly lower the cost of bionic limbs for amputees. Real need: There are approximately 540,000 upper-limb amputees in the United States, but sophisticated "myoelectric" prosthetics, controlled by muscle contractions, are still very expensive. Such devices cost between $25,000 and $75,000 (not including maintenance and repair), and they can be difficult to use because it is hard for software to distinguish between different muscle flexes. Handy invention: Researchers in Japan came up with a cheaper, smarter myoelectric device. Their five-fingered, 3D-printed hand is controlled using a neural network trained to recognize combined signals--or, as they call them, "muscle synergies."

SAN FRANCISCO – As companies quickly adopt machine learning systems, cybercriminals are close behind scheming to compromise them. That worries legal experts who say a lack of laws swing open the door for bad guys to attack systems. During a panel session at RSA Conference 2020 this week, Cristin Goodwin, the assistant general counsel with Microsoft, said the number of machine learning related U.S. court cases is a mere 52. She noted most were related to patents, workplace discrimination and even gerrymandering. Few court cases addressed actual cyberattacks on machine learning systems – demonstrating a dangerous dearth in legal precedent around the technology.

Artificial intelligence is an immensely powerful tool, the effects of which are being felt across a range of industries, sectors, and disciplines. Its application to challenges ranging from wildlife preservation to deep space exploration proves its versatility, while machine learning courses are being taught to the next generation of researchers so that its full potential can be realized in years to come. Of course, even education itself is being shaped by the influence of AI, so here is a look at how machine learning is having an impact on human learning. One of the biggest struggles that teachers face today is being able to effectively manage their time and balance the administrative responsibilities that are unavoidable as part of their roles while also being able to dedicate themselves to the job of actually engaging with students. AI offers up the power to automate many of the more mundane tasks involved in the job of teaching, empowering educators to focus on the things that got them interested in imparting knowledge to others in the first place.