The government is investing £12m in the development of new technologies including robots that can perform household tasks and products to protect dolphins from noise protection. The money is being invested by the Engineering and Physical Sciences Research Council (EPSRC) in four partnerships between universities and the private sector. Government funding is being supplemented by a further £17.5m in cash from commercial partners. The first project being funded involves work to develop materials that do not make noise underwater. This, the government said, will not only improve the life expectancy of dolphins, fish, and other marine creatures, but will also have a positive impact on human health.

Gartner Inc. this week published its first Magic Quadrant for the robotic process automation software market, shining a light on the leading players and key trends in the rapidly growing technology segment. RPA relates to the use of software with artificial intelligence and machine learning capabilities to handle high-volume, repeatable tasks that previously required humans to perform. These tasks can include queries, calculations and maintenance of records and transactions. RPA software relies on robots that can mimic a human worker by logging into an application, entering data or calculating and completing tasks and then logging out once the task is done. The technology is believed to save companies huge amounts of time and money, so it's not much of a surprise to see Gartner estimating the market for this type of software will reach $2.4 billion a year by 2024, from just $850 million today.

L'AQUILA, Italy, July 12, 2019(Newswire.com) - Dante Labstoday introduced a new artificial intelligence (AI) tool to create personalized reports from whole genome sequencing data that leverages a person's medical information to identify the most relevant insights across the six billion letters that make up human DNA. Dante Labs' use of AI is a completely new approach to the interpretation of genetic data. The old approach was to analyze only small sections of the DNA--the so-called target panels--or to simply provide unfiltered raw data because companies lacked the computational power and capabilities to analyze the entire DNA. The use of AI is particularly valuable for complex conditions such as cancers, epilepsy, diabetes, Alzheimer's, Parkinson's disease and other rare diseases. 'The old approach was to give up on the power of the whole genome,' said Andrea Riposati, CEO of Dante Labs.

Visitors to a former church in the Italian city of Spoleto will encounter a mirror that uses artificial intelligence and facial recognition to build an otherworldly image of themselves. Italian design studio Ultravioletto created the Neural Mirror installation to give audiences a chance to contemplate the controversial technologies in an artistic setting. The ghostly, rainbow-coloured reflections viewers see of themselves are actually clouds of points generated through artificial intelligence. But at first glance, audiences experience the installation as a normal mirror, as it contains a mirrored film layered over OLED displays that reflects their image back at them. It is only after the facial recognition software has scanned and processed their presence -- decoding the subject's likely sex, age, race and emotional state -- that the viewer sees the AI's interpretation of them on the screen, obscuring the mirror. "Artificial intelligence extracts all of our behaviours in a shady way then transforms them into a form of wealth for corporations," Ultravioletto's art director Bruno Capezzuoli told Dezeen.

The T-shirts sold by Cross & Freckle, a New York–based fashion upstart, don't look revolutionary at first glance. They come in black or white, they're cut for a unisex fit, and they sell for $25. Each of them has a little design embroidered into the cotton that references staples of New York City life: pigeons, dollar pizza slices, subway rats. They were designed instead by a neural network, which crunched doodle data from millions of people and spit out the original art that makes up the embroidery. Cross & Freckle isn't the first company to use AI to generate art--people have been doing that for years.

The AI in Advancement Advisory Council (AAAC), a first-of-its-kind organization committed to open discussion about where artificial intelligence (AI) technology can and should have an impact on advancement, today released the first State of AI in Advancement Report. The study is the first benchmark on the adoption rate, uses, opinions, of AI in the advancement industry, and more, and comes at a time when artificial intelligence is beginning to revolutionize philanthropy. "We've entered an amazing chapter of innovation and progress with artificial intelligence," said AAAC member Reed Sheard, Vice President for College Advancement and Chief Information Officer, Westmont College. "In order to truly harness this technology in a way that helps us build successful organizations, it will be critical to utilize AI in a manner that always seeks to benefit society. It is important to ask both'What can we do?' as well as'What should we do?'. The early results we've seen represent new opportunity and I am excited about what the future holds."

To help identify depression early, scientists have now enhanced a technology that uses Artificial Intelligence (AI) to sift through the sound of your voice to gauge whether you are depressed or not. Computing science researchers from the University of Alberta in Canada have improved technology for identifying depression through vocal cues. The study, conducted by Mashrura Tasnim and Professor Eleni Stroulia, builds on past research that suggests that the timbre of our voice contains information about our mood. Using standard benchmark data sets, Tasnim and Stroulia developed a methodology that combines several Machine Learning (ML) algorithms to recognize depression more accurately using acoustic cues. A realistic scenario is to have people use an app that will collect voice samples as they speak naturally. "The app, running on the user's phone, will recognize and track indicators of mood, such as depression, over time.

If artificial intelligence confuses you, think about what happens when it's not leveraged properly. For context, consider the London-based VC firm MMC who found that about 40% of European AI startups don't use AI in any tangible way. MMC (and TheVerge) are saying that companies just want to take advantage of the AI hype. Meaning that the company or startup "talks" about AI, but they are unwilling or unable to put in the resources to deploy the process, store the data, or make any meaningful use of the information. So begs the question, is artificial intelligence still relevant for startups?

In the ever changing world of information technology, business organizations are left with humongous amount of data with them. This data includes very critical information for business use, but business organizations are only able to utilize 20% of whole data available with them with the use of traditional data analytics technology. To process and interpret the reaming 80% of the data that is in the form of videos, images, and human voice (also called as dark data), there is a need of cognitive computing systems. Cognitive computing systems are typical combination of hardware and software that constitute natural language processing (NLP) and machine language, and have capability to collect, process, and interpret the dark data available with business organizations. Cognitive computing systems works exactly the phenomena of how a human brain works.

Artificial Intelligence (AI) and Machine Learning (ML) technologies deliver intelligent functionalities to pre-existing solutions across various verticals including automotive, health care and business analytics. AI and ML collectively offer optimal solutions to the existing problem, and further imparting self-learning logic in the system to instinctively address any similar complications in the future. Statistic abilities of machine learning to develop capabilities and enhance the performance of models have delivered significant traction for the technology in start-ups across the world. Companies are highly attracted to the investment opportunities for integrating machine learning in their services and products across the AI landscape. These unprecedented stages of investment are emblematic of the hype surrounding artificial intelligence and machine learning and have also accentuated the value that technology leaders believe AI and ML can bring to the world.