The push to deliver unbiased and responsible artificial intelligence is admirable, but there are many roadblocks to overcome. Chiefly, AI is only as fair as the data that goes into it. In light of the slow progress addressing AI bias and unfairness, business and technology leaders may be finally arriving at a consensus that they need to concentrate on more "responsible" approaches to AI. A recent survey of 504 IT executives, released by Appen and conducted by The Harris Poll, finds heightened concern about the data that is increasingly driving decisions about customers, markets, and opportunities. It also hints at recognition by both types of leaders that the data they have tends to be problematic, wreaking damage to people, communities, and businesses.

In less than 6 hours after starting on our in-house server, our model generated 40,000 molecules that scored within our desired threshold. In the process, the AI designed not only VX, but also many other known chemical warfare agents that we identified through visual confirmation with structures in public chemistry databases. Many new molecules were also designed that looked equally plausible. These new molecules were predicted to be more toxic, based on the predicted LD50 values, than publicly known chemical warfare agents. This was unexpected because the datasets we used for training the AI did not include these nerve agents.

Headbands developed by BrainCo measure electric signals from neurons in the brain and translate that into an attention score using an algorithm. These days, many students at Jinhua Xiaoshun Primary School in eastern China begin their lessons not by opening textbooks, but by putting on headbands. The headbands, developed by startup BrainCo Inc. of Somerville, Mass., use three electrodes -- one on the forehead and two behind the ears -- to detect electrical activity in the brain, sending the data to a teacher's computer. Software generates real-time alerts about students' attention levels and gives an analysis at the end of each class. The pilot project, designed to help teachers keep tabs on and improve students' attentiveness, offers a glimpse into an artificial-intelligence boom in classrooms across China.

In 2020, the nature of customer engagement will change as personalisation - how marketing and customer value management actually engage with customers - rapidly matures. This means a change will be required in legacy campaign and loyalty programme management solution architectures (i.e. a move from relational databases of static customer data and batch processes to a real-time online customer profiling and engagement triggering). Those Communications Service Providers (CSPs) who lead the way will tap the real benefits that can be achieved by moving to CE 3.0. Net Promoter Scores in the telecoms industry are low; yet to date there's been relatively little analysis of why. One change lies in clearer answers to the question "Does my operator give me value for my money?".

The tech giants Amazon, Google and Facebook have all begun to use machine learning to give you tips on what to wear. Is fashion styling the next field to be disrupted by artificial intelligence (AI), or will the human eye remain supreme? It's too soon to know for sure, but understanding what machine learning is good at and how that overlaps with what fashion is all about can help us make some educated guesses. One thing machine learning does very well is finding patterns and common features among groups of items. Taking advantage of this, Google Lens and Amazon Style Snap can each identify a garment from a photo or video and then tell you a bit more, like how other people have worn it or where you can buy it.

Perhaps no technology has generated more hype in recent years than artificial intelligence (AI). In some industries, it is certainly living up to it.

Machines have already begun quietly replacing human workers. The issue may seem abstract when it's somebody else's job. But what happens when they come for yours? Amazon began automating its warehouses years ago, but now "Amazon's Clever Machines Are Moving From the Warehouse to Headquarters," according to Bloomberg. "The people who command six-figure salaries to negotiate multimillion-dollar deals with major brands are being replaced by software that predicts what shoppers want and how much to charge for it."

You might be tempted to put these pieces together and assume that AI might autonomously start a nuclear war. This is the subject of a new paper and article published today by the RAND Corporation, a nonprofit thinktank that researches national security as part of its Security 2040 initiative. But AI won't necessarily cause a nuclear war; no matter what AI fear-mongerer Elon Musk tweets out, artificial intelligence will only trigger a nuclear war if we decide to build artificial intelligence that can start nuclear wars. The RAND Corporation hosted a series of panels with mysterious, unnamed experts in the realms of national security, nuclear weaponry, and artificial intelligence to speculate and theorize on how AI might advance in the coming years and what that means for nuclear war. Much of the article talks about hyper-intelligent computers that would transform when a nation decides to launch its nuclear missiles.

You might be tempted to put these pieces together and assume that AI might autonomously start a nuclear war. This is the subject of a new paper and article published today by the RAND Corporation, a nonprofit thinktank that researches national security as part of its Security 2040 initiative. But AI won't necessarily cause a nuclear war; no matter what AI fear-mongerer Elon Musk tweets out, artificial intelligence will only trigger a nuclear war if we decide to build artificial intelligence that can start nuclear wars. The RAND Corporation hosted a series of panels with mysterious, unnamed experts in the realms of national security, nuclear weaponry, and artificial intelligence to speculate and theorize on how AI might advance in the coming years and what that means for nuclear war. Much of the article talks about hyper-intelligent computers that would transform when a nation decides to launch its nuclear missiles.

The banking and financial sectors are on the brink of a fundamental structural change. Compliance regulations have kept these industries trapped in long-overdue legacy systems. Yet, senior executives understood that they need to make a shift towards integrating more technology into their daily operations. This decision is motivated by costs, efficiency, perception, and evolution. The current buzzword which is credited to be a catalyst for the financial sector's revolution is AI.