Since the 1950s, researchers have documented the many types of predictions in which algorithms outperform humans. Algorithms beat doctors and pathologists in predicting the survival of cancer patients, occurrence of heart attacks, and severity of diseases. Algorithms predict recidivism of parolees better than parole boards. And they predict whether a business will go bankrupt better than loan officers. According to anecdotes in a classic book on the accuracy of algorithms, many of these earliest findings were met with skepticism.

The ethical landscape surrounding the use and widespread implementation of artificial intelligence (AI) is vast and complex. The forthcoming AI revolution will change the world, and our lives, in ways no other industrial revolution has done. Everyone should be forming opinions on the ethics of AI. Humans are capable of great acts of positive progress (e.g. AI will be no different.

It doesn't have to be perfect, but it needs to have enough quality and consistency for useful patterns to emerge. However, many companies are overwhelmed by the volume, velocity and variety of their data and find themselves unable to access data's fourth V: value. So how should we think about data preparation strategies to avoid potential data paralysis or over-ambition with your AI projects? The better the data, the better the AI. But for many companies, there's a problem: 85 percent of their data is either dark (whereby its value is unknown), redundant, obsolete or trivial.

Germany and France are two flourishing AI hubs, but the UK has been named the European AI "powerhouse" in a new report from London-based investment firm MMC Ventures. Published earlier this month, the analysis sheds light on the hype around the technology, but identifies healthcare as an area of increasing focus for AI entrepreneurs as systems start to embrace emerging technologies. Out of around 1,600 European early stage AI software companies, 21 percent are said to be focusing on health and wellbeing, with the UK dubbed the "heartland of European healthcare AI". This is due to a variety of factors, the research suggests, from the UK having universities that are world-renowned for medicine and teaching hospitals, to what is described as the "flywheel" effect of companies like DeepMind, Babylon or Benevolent AI, which are "simulating, attracting and recycling talent, capital and commercial engagement in the UK ecosystem". And although engaging with the NHS is still perceived to be "challenging", the analysis indicates that early stage companies can now benefit from a wider range of "accessible deployment opportunities". Health secretary Matt Hancock outlined today in a message to delegates at the Digital Health Technology Show in London his ambition to "make the UK the best place in the world to start and grow a health tech business".

Technology is being developed to track and monitor every tiny movement of a car's driver and its passengers. Radar, lasers and cameras are making their way inside cars with the intention to keep occupants safe and make controlling the vehicle even easier than normal. A plethora of firms are employing millimetre-wave radar which has such a small wavelength it can take highly detailed measurements. They are working on various applications which involve measuring biometrics, tracking respiration and heart rate, identifying males, female and pets. It also opens up a wealth of possibilities to control a car's features using only gestures and even by just looking at them. Radar, lasers and cameras are making their way inside cars with the intention to keep occupants safe and make controlling the vehicle even easier than normal.

WhatsApp appears to be working on a new feature to help users identify whether an image they receive is legitimate or not. While picking apart update 2.19.73, WABetaInfo discovered a "search by image" function that will let you upload a received image directly to Google to reveal "similar or equal" images on the web. With this info, you should be able to more accurately judge whether the picture is real, or fake news. The feature isn't available yet, and there's no official word on when it will be.

One of General Motors' first self-driving test vehicles is going on display at an automotive history museum in suburban Detroit. The Henry Ford history attraction announced Tuesday that it has acquired a modified pre-production Chevrolet Bolt electric vehicle. The GM-donated vehicle originally made its debut testing on the streets of San Francisco in 2016. Now it will be displayed at the Henry Ford Museum of American Innovation in Dearborn. The camera- and sensor-equipped vehicle is the first autonomous car to be added to The Henry Ford collection.

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.

Alzheimer's disease is a terminal neurodegenerative disease that has historically been diagnosed based on observing significant memory loss. There is currently no cure or disease-modifying therapy for this terminal illness, despite hundreds of clinical trials. It is thought these trials may have a high failure rate because the people enrolled are in the latest stages of the disease, likely already suffering a level of brain tissue loss that cannot easily be repaired. Thus, researchers have put their mind to how to detect this disease earlier, while a chance may still exist to slow its progression. Recent research has shown a biological marker associated with the disease, a peptide called amyloid-beta, changes decades before any memory-related issues are apparent.

A new study that found self-driving cars could be more likely to crash into pedestrians with dark skin has raised concerns among experts in the UAE. Academics said the research could indicate Gulf nationals would be more at risk from being hit by autonomous vehicles, without improvements to software. A recent paper, published by the Georgia Institute of Technology, found detection systems were better at recognising lighter skin tones than dark. The intriguing issue has also raised questions over whether traditional dress, such as the black abaya or white kandura, may also confuse existing technology. "I would exercise some caution until the study is peer-reviewed but it could have significant implications," said Lakmal Seneviratne, Professor of Robotics at Khalifa University.