For years, major automotive players like Ford, Honda, and Toyota have flaunted their latest advancements in smart car technology at CES. But what may be one of the most ambitious concepts at this year's conference is coming from a little-known startup called Byton, which is showcasing a concept vehicle that will be launching in China next year before moving to the U.S. and Europe in 2020. Pricing will start at $45,000. The vehicle's most striking feature is its gargantuan screen that stretches across the entire dashboard, which the company calls the Shared Experience Display. Byton, like many automotive and technology companies exhibiting this year, aims to add more personalization to the car in order to make commuting feel like less of a chore.

Abstract--We apply convolutional neural networks (ConvNets) to the task of distinguishing pathological from normal EEG recordings in the Temple University Hospital EEG Abnormal Corpus. We use two basic, shallow and deep ConvNet architectures recently shown to decode task-related information from EEG at least as well as established algorithms designed for this purpose. In decoding EEG pathology, both ConvNets reached substantially better accuracies (about 6% better, 85% vs. 79%) than the only published result for this dataset, and were still better when using only 1 minute of each recording for training and only six seconds of each recording for testing. We used automated methods to optimize architectural hyperparameters and found intriguingly different ConvNet architectures, e.g., with max pooling as the only nonlinearity. Visualizations of the ConvNet decoding behavior showed that they used spectral power changes in the delta (0-4 Hz) and theta (4-8 Hz) frequency range, possibly alongside other features, consistent with expectations derived from spectral analysis of the EEG data and from the textual medical reports. Analysis of the textual medical reports also highlighted the potential for accuracy increases by integrating contextual information, such as the age of subjects. In summary, the ConvNets and visualization techniques used in this study constitute a next step towards clinically useful automated EEG diagnosis and establish a new baseline for future work on this topic.

Archaeologists have uncovered the 250-year-old kitchen of Thomas Jefferson's enslaved chef, James Hemings, who introduced mac and cheese and meringues into US culture. Hemings became the property of Thomas Jefferson in January of 1774 when he was just nine years old. His younger sister is Sally Hemings, who had six children believed to have been fathered by Jefferson after the death of his wife Martha Jefferson. Archaeologists have uncovered the 250-year-old kitchen of Thomas Jefferson's enslaved chef, James Hemings, who introduced mac and cheese into US culture. Growing up, Hemings was one of Jefferson's favorite servants and even accompanied him to Paris, France, in 1784.

How can AI impact Cybersecurity? As more companies rely on IT systems in their infrastructure, the threat of a cybersecurity breach and the damage it can cause is fast growing. The number of devices and amount of data businesses are required to analyse in order to detect and prevent cybersecurity attacks is increasing at a much faster rate than trained personnel are becoming available to manually analyse such data. As a result there is a noticeable gap between what the industry needs in order to avoid more advanced cyberattacks and the number of skilled personnel available to join the fight. AI, and more particularly machine learning, makes the possibility of autonomous security systems a reality.

In the previous section, we quickly touched upon the effects that AI might eventually have on the blockchain. Now instead, we will make the opposite exercise understanding what impact can the blockchain have on the development of machine learning systems. In spite of all the benefits that AI will receive from an interaction with blockchain technologies, I do have one big question with no answer whatsoever. AI was born as in an open-source environment where data was the real moat. With this data democratization (and open-source software) how can we be sure that AI will prosper and will keep being developed?

Although we are not yet on the cusp of a'post-human' society, the prospect of automation still poses significant challenges, including the potential shift of national income from labour to capital. Carys Roberts explains why public policy should seek to accelerate automation to reap the productivity benefits that come with it, but do so while building new institutions to ensure the dividends are broadly shared. 'Will a robot take our jobs?' has been a common question in the media. The threat of mass joblessness has even given rise to debates on the merits and drawbacks of a post-work society. But while debates have focussed on work, less attention has been paid to the other side of the coin: profit.

Even Elon Musk and Mark Zuckerberg sparked a heated, and ongoing, debate about whether or not AI will take control of humanity. Indeed, AI continues to demonstrate impressive capabilities. Earlier this year, the AI built into Google's DeepMind AlphaGo defeated the world's top Go player, Chinese professional, Ke Jie. Go is a popular Asian board game reputed to be much more complex than chess. AI is not just for gaming, it also demonstrates a high reliability for detecting cancerous tissue in medical images.

Many insurance-focused startups were funded from 2014 to 2016 – but they truly came to market in 2017. This was the year that saw some of the first big acquisitions, like Guidewire acquiring Cyence, major market expansion from brands like Lemonade, and conferences devoted to the sector seeing big attendance gains. Retrospectives are always a bit dull, though. Instead, let's look at the future. What can we expect from insurtech in 2018?

The law is pretty firm when it comes to drunk driving -- the consequences are obvious. Now, officials are turning their attention to drunk droning. New Jersey has just approved a bill that, if signed by Governor Chris Christie, would make it illegal to fly one under the influence of drugs or alcohol. Operating a drone with a blood alcohol concentration of 0.8 percent of more (the same legal limit for driving a vehicle) would be considered a disorderly offence under the new rules, and would carry a $1,000 fine and up to six months in prison. There's been no shortage of drone crash stories in the news in recent times -- one of the most famous being the 3AM crash land on White House grounds in 2015, thanks to a drunken mishap.

IF YOU dial the emergency services in Denmark, soon you won't just get a human operator –an artificially intelligent assistant will be listening in too. Developed by start-up Corti, the system kicks into action when someone dials 112 in Copenhagen, then it starts listening for signs of a possible cardiac arrest. To do this, it first uses speech-recognition software to transcribe what is being said before analysing the text. Once it is confident of a diagnosis, it flashes an alert on the screen for the operator to see. Identifying cardiac arrest over the phone is one of the trickiest tasks for an operator.