The Rewired investment fund focuses on enabling the technologies of the AI revolution by investing across five verticals including machine learning, robotics, bionics, sensors, mapping and localisation. Backed by technology investors including Tej Kohli, we believe that AI has the potential to positively impact every segment of economic activity and to improve every aspect of human life. In 2017 Ambassador, Elle King, and Wiz Khalifa performed together on Alex Da Kid's single, ''Not Easy'' which ranked highly in the iTunes chart. The tune was created using IBM's Watson, which scanned the most popular songs from the last five years as well as analysing news, media, reports, movie scripts and social media posts. The results helped the artists to understanding the "emotional temperature" of people at that specific time.

Do you need a human to create a beautiful scent? That's the question being asked as artificial intelligence (AI) starts to infiltrate the perfume industry. Companies are increasingly turning to technology in order to create more bestselling, unique fragrances that can be produced in just minutes. Last year, Swiss-based fragrance developer Givaudan Fragrances launched Carto, an artificial Intelligence-powered tool to help perfumers. Through machine learning (a way computers improve outcomes automatically by learning from past results) Carto can suggest combinations of ingredients.

The art of making perfumes and colognes hasn't changed much since the 1880s, when synthetic ingredients began to be used. Expert fragrance creators tinker with combinations of chemicals in hopes of producing compelling new scents. So Achim Daub, an executive at one of the world's biggest makers of fragrances, Symrise, wondered what would happen if he injected artificial intelligence into the process. Would a machine suggest appealing formulas that a human might not think to try? Daub hired IBM to design a computer system that would pore over massive amounts of information--the formulas of existing fragrances, consumer data, regulatory information, on and on--and then suggest new formulations for particular markets. The system is called Philyra, after the Greek goddess of fragrance.

In the last year, the scent industry has undergone a quiet but significant transformation thanks to artificial intelligence: In August 2018, fragrance house Firmenich announced a partnership with Swiss university Ecole Polytechnique Fédérale de Lausanne to create a digital lab in order to study AI for fragrance product development. In October 2018, another major fragrance house, Symrise, worked with IBM to develop an AI and machine learning perfumer machine called Phylra. This past April, fragrance company Givaudan launched AI platform Carto to assist perfumers in scent creation. And finally, in July, fragrance subscription startup Scentbird launched a sub-brand called Confessions of a Rebel that used AI and customer data and reviews in the creation of its four debut fragrances. Historically, perfume creation has toed the line between art and science.

While it's not unimportant, a lot of the groundwork when developing a new fragrance is done by evaluating data, and that's something artificial intelligence is highly qualified to do. In a partnership between IBM Research and Symrise, a global producer of fragrances and flavors based in Germany with clients such as Estee Lauder, Donna Karan, Avon, Coty and more, the first AI-developed scent is now available for purchase in Brazil. Philyra became the artificial intelligence (AI) apprentice IBM created that perfumer David Apel worked alongside to create two new fragrances for Brazilian cosmetics company O Boticário in time for the country's Valentine's Day holiday this year. They were specifically looking for a fragrance to sell to Generation Z and millennials who they knew would be intrigued by a fragrance created by AI. This collaboration officially launched AI into the fragrance industry.

This summer, furniture company Kartell will start selling a new plastic chair designed by Philippe Starck – with some help. The system used – not, perhaps, strictly an AI – was a generative design software platform from Autodesk. Supplied with initial design goals, along with parameters such as materials, manufacturing methods and cost constraints, the software explores all the possible permutations of a solution to generate design alternatives. It tests and learns from each iteration what works and what doesn't. "As the relationship between the two matured, the system became a much stronger collaborative partner, and began to anticipate Starck's preferences and the way he likes to work," says Mark Davis, senior director of design futures at Autodesk.

Watson started its life as a TV star and now is being used by clients such as Symrise to create new perfumes.IBM It is less than fifteen years ago when IBM sold its PC business to Lenovo and did the same for its x86 server business back in 2014. It was a major shift for the company that some decades ago was virtually the same as the'PC' itself. But what was the key factor that attracted the company's attention and made it open a brand new path, different from its past business-safe lanes? Undoubtedly, both businesses that were sold had become less profitable, still, it does not sufficiently explain the reason why a new business had to replace the old one to secure the viability of the corporation.

Veteran perfumer David Apel works on the AI-designed fragrance.IBM and Symrise Artificial intelligence, a buzzword across several sectors, may be about to shake up the fragrance industry. IBM Research and Symrise -- a major global producer of flavors and fragrances that counts among its clients Estee Lauder, Coty and Victoria's Secret parent L Brands -- have created what they described as the industry's first AI-designed perfume for sale, after the two parties came together over a year ago. The AI tool, named Philyra, uses a machine-learning algorithm to study Symrise's database of some 1.7 million formulas and can identify "white space" before suggesting not only formulas that may resonate with consumers but also combinations that perfumers may not have thought of before. For instance, when asked to come up with the "most creative" interpretation of a fragrance created 12 years ago, the AI system generated one formula that removed an outdated material and upped the dosage of a popular sandalwood scent. It also unexpectedly introduced to the mix cedar wood, another ingredient popular with today's consumers, said David Apel, Symrise's VP and senior perfumer of fine fragrance.

The art of making perfumes and colognes hasn't changed much since the 1880s, when synthetic ingredients began to be used. Expert fragrance creators tinker with combinations of chemicals in hopes of producing compelling new scents. So Achim Daub, an executive at one of the world's biggest makers of fragrances, Symrise, wondered what would happen if he injected artificial intelligence into the process. Would a machine suggest appealing formulas that a human might not think to try? Daub hired IBM to design a computer system that would pore over massive amounts of information--the formulas of existing fragrances, consumer data, regulatory information, on and on--and then suggest new formulations for particular markets. The system is called Philyra, after the Greek goddess of fragrance.

The first perfumes designed by AI are slated for launch in mid-2019 in Brazil. Developed at IBM, in partnership with perfume company Symrise, the AI programme used drew upon a database of 1.7m different fragrance formulas, and used information on raw materials and the success of previously developed perfumes. It was also taught to identify which fragrances people found similar and dissimilar – getting training akin to an apprentice perfumer. Called Philyra, after the Greek goddess of fragrance, the AI programme developed two new fragrances for Brazilian beauty company O Boticário. 'What she did was super innovative.