Audio Network Limited, one of the world's largest independent creators and publishers of original high-quality music for use in film, television, advertising and digital media, continues its focus on technology by partnering with Musiio to explore the power of AI to improve customer service and delivery. This industry first will equip the global music company with an added interface to their existing search platform, to make their catalogue of over 170,000 tracks even more discoverable, whilst keeping the human touch that Audio Network has always been known for. Read More: Clearsense Chooses Io-Tahoe's Smart Data Discovery to Navigate Healthcare Data Challenges Singapore-based Musiio provides a new way of "listening" to music at scale, easily searching up to one million tracks in under two seconds and supercharging a team of music researchers to increase their efficiency in responding to music briefs. "AI has been on the fringes of the music industry for the last few years, with talk of labels signing algorithms. But recently, more commercial and practical uses of this powerful computing technology have begun to surface," explained Musiio CEO and co-founder Hazel Savage.

Customer Experience (CX) is at the center of every organization's growth strategy and technology is significant in transforming it. Here are a few innovative ideas to improve customer experience with Artificial Intelligence (AI) and Robotics. Customer experience is the most important and challenging element of an organization's business strategy. Market dynamics and varying customer expectations make it challenging for marketers to identify customer wants and needs. Hence, arises the need to innovate and improve customer experiences.

South Africa has no shortage of aspiring Zuckerbergs, and potential financiers, if their ideas are original and viable, judging from the impressive queue at the Sandton Convention Centre on Tuesday morning. Though billed as an artificial intelligence (AI) gathering, the dominant theme of the AI Summit appeared to be tech start-up funding. I started the day attending a presentation by former FNB CEO turned venture capitalist Michael Jordaan in the JSE-sponsored'scale-ups' room. Jordaan ended his talk by begging the young, educated members of the audience not to emigrate, but to remain in South Africa and start businesses offering solutions to the country's many serious problems. "Entrepreneurs can do more for this country than politicians or anyone else," he says.

John Chambers, founder and chief executive officer of JC2 Ventures LLC, stands for a photograph following a Bloomberg Technology Television interview in San Francisco, California, U.S. John Chambers, who just turned 70, prefers to take any stage at a run. In his tech trendy uniform--blue blazer, designer jeans, checked shirt, and blue boat shoes--he still exudes the physical energy of his successful tenure as CEO at Cisco Systems, which he grew from an annual revenue of $2.2 billion in 1995 to $49 billion in 2015 when he stepped down. Today Chambers runs his own boutique investment firm, JC2 Partners, in Palo Alto, California. He prefers to call himself a mentor to startup CEOs rather than a venture capitalist. When he's not in Silicon Valley he can often be found in India, where he advises Prime Minister Narendra Modi's government on digital transformation and the economy.

An Indian surgeon has become the first the world to perform heart surgery through a robot he controlled from a remote location. Dr Tejas Patel, a cardiologist in Ahmedabad, carried out the same delicate procedure on five different patients over the course of several days. It is believed he performed the operations while he was at a temple, controlling the robot at his hospital from 20 miles (32km) away. The results of his operations, all of which were successful, have been published in a spin-off of the prestigious medical journal The Lancet. It is not, however, the first long-distance robot-controlled surgery.

An iconic wooden plane used in the Second World War could be back in the skies by 2023 thanks to an £8million restoration project based on thousands of original drawings. The De Havilland Mosquito bomber hasn't been seen in British airspace since the last one crashed in 1996. But a private project is investing huge amounts of money and years of man-hours to bring'The Wooden Wonder' back to life using more than 22,500 original blueprints from Airbus. The People's Mosquito, working with aircraft reconstruction specialists Retrotec, hope the Rolls-Royce powered machine will be completed in the next four years. A De Havilland bomber is pictured during flight in 1944.

Two new studies reveal that modern machine learning--a branch of artificial intelligence in which systems learn from data, identify patterns, and make decisions--may augment traditional diagnostics of kidney disease. The findings appear in an upcoming issue of JASN. Pathologists often classify various kidney diseases on the basis of visual assessments of biopsies from patients' kidneys; however, machine learning has the potential to automate and augment the accuracy of classifications. In one study, a team led by Pinaki Sarder, PhD and Brandon Ginley, BS (Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo) developed a computational algorithm to detect the severity of diabetic kidney disease without human intervention. The algorithm examines a digital image of a patient's kidney biopsy at the microscopic level and extracts information on glomeruli, the small blood vessels of the kidney that filter waste from the blood for excretion.

Imagine a world in which healthcare can prevent disease. It's a world that is actually within our grasp. And the key to it is centralising health data to enable the use of emerging technologies, such as Artificial Intelligence (AI), Machine Learning (ML), and Predictive Analytics. Using such cutting-edge tech would enable accurate predictions on the extensive data we've captured over many years. Which in turn would catch these ailments in their early stages or even before symptoms start to manifest.

SoftNeuro is one of the world's fastest deep learning inference engines. It is multi-platform, and can utilize learning results from a variety of deep learning frameworks. Morpho Pose Estimator uses Deep Learning to estimate postures with high precision.

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