Pundits opine about how automation technologies will eliminate certain jobs, fueling a rise-of-the-machines kind of fear and loathing among tech workers. Horror story scenarios aside, evidence suggests it's far more likely that automation will augment rather than replace most jobs. Witness the financial services sector, where sophisticated algorithms called "roboadvisors" pair with humans to offer investment advice. The Vanguard Group, a power in mutual and exchange-traded funds with 3.2 trillion in global assets, has written custom software that offers clients tailored investment advice, a new but crowded market for a company whose clients are largely self-directed. But while many roboadvisors act alone, Vanguard pairs them with humans, creating a hybrid model that marries algorithmic portfolio planning and relies on human financial advisors to provide a white-glove touch.

Scientists at the California NanoSystems Institute at UCLA have developed a new technique for identifying cancer cells in blood samples faster and more accurately than the current standard methods. In one common approach to testing for cancer, doctors add biochemicals to blood samples. Those biochemicals attach biological "labels" to the cancer cells, and those labels enable instruments to detect and identify them. However, the biochemicals can damage the cells and render the samples unusable for future analyses. There are other current techniques that don't use labeling but can be inaccurate because they identify cancer cells based only on one physical characteristic.

New entrants to the legal profession will be competing head on against Kim, the virtual assistant from Riverview Law, and Ross, IBM Watson's'super-intelligent' attorney, in delivering services to clients. Ross, unlike most of us, has the ability to research every resource of legal knowledge in seconds, and, even more impressive to the older ones among us, remember it. There's no doubt that clients will always value negotiating skills, judgement, ethical standards and reassurance from their lawyers but if the apprentice style of learning at the expert's knee is going to be overtaken by Kim and Ross, how will the profession generate the experienced advisers that clients seek to consult? Clients seek good value for money from their law firms and those expectations change over time. In the past, certain tasks were seen as good value for money. Now, as tasks become more familiar, technology enables a more efficient delivery.

Autism spectrum disorder (ASD) is a major developmental disorder characterized by repetitive, restricted behaviour as well as deficits in communication and reciprocal social interactions1. ASD has attracted a great deal of attention of basic and clinical scientists in the hope that clarification of its underlying mechanisms will lead to the development of remedies for ASD as well as a better understanding of the neural substrates of important cognitive functions, including social behaviour2. Despite the significance of the disorder, no effective biomarker has been developed. The medical diagnosis for ASD has been made largely based on narrative interactions between individuals and clinical professionals. With the exception of'clear and typical' cases, such diagnostic methods without any biological grounds could run the risk of producing a high variance in diagnosis3 and delaying the detection of abnormalities4.

NEW YORK – A paralyzed 24-year-old man has regained some use of his right hand, controlling it with signals relayed from electronic sensors in his brain. Ian Burkhart of Dublin, Ohio, can grasp a bottle, pour its contents into a jar, pick up a stick and stir the liquid. He can grab a credit card and swipe it through a reader. He can move individual fingers and hold a toothbrush. But he can do these things only for a few hours a week, in a laboratory where he is hooked up to an experimental device that interprets his brain signals and stimulates his muscles with electrodes on his forearm.

A week later, she was accidentally activated during testing, and within minutes had succumbed to a "kush" induced freakout. Tay is now offline, and her account made private, much like any parent will do when their teenager gets into trouble on the internet. What went wrong with Tay? No one should find it surprising that releasing a machine learning chatbot on social media, in the guise of a teenage girl no less, would result in a wave of interactions designed to test the limits of the technology -- and anyone who has ever spoken to Siri, Cortana or any other virtual assistant knows that one of the first tests involves saying the most profane statements you can think of. Microsoft was certainly aware of this; their VA, Cortana, is often subject to sexual harassment, and so she has been designed to fight back.

Artificial consciousness[1] (AC), also known as machine consciousness (MC) or synthetic consciousness (Gamez 2008; Reggia 2013), is a field related to artificial intelligence and cognitive robotics. The aim of the theory of artificial consciousness is to "define that which would have to be synthesized were consciousness to be found in an engineered artifact" (Aleksander 1995). Neuroscience hypothesizes that consciousness is generated by the interoperation of various parts of the brain, called the neural correlates of consciousness or NCC, though there are challenges to that perspective. Proponents of AC believe it is possible to construct systems (e.g., computer systems) that can emulate this NCC interoperation.[2] Artificial consciousness concepts are also pondered in the philosophy of artificial intelligence through questions about mind, consciousness and mental states.[3] As there are many hypothesized types of consciousness, there are many potential implementations of artificial consciousness. In the philosophical literature, perhaps the most common taxonomy of consciousness is into "access" and "phenomenal" variants. Access consciousness concerns those aspects of experience that can be apprehended, while phenomenal consciousness concerns those aspects of experience that seemingly cannot be apprehended, instead being characterized qualitatively in terms of "raw feels", "what it is like" or qualia (Block 1997).

According to OECD predictions, exceeding budgets on health spending remains an issue for OECD countries. Maintaining today's healthcare systems and funding future medical advances will be difficult without major reforms. Public expenditure on health and long-term care in OECD countries is set to increase from around 6% of Gross Domestic Product (GDP) today to almost 9% of GDP in 2030 and to 14% by 2060. This will be the harsh reality unless governments and private companies change the structure of how healthcare is funded. In countries with private health insurance, certain treatments such as cancer care are so expensive that only the privileged with good insurance plans can afford them.

In the background, a few pedestrians are looking warily at a strange new contraption barely visible behind the crowds of equine transport. Imagine the same street, just 13 years later. To the right of the frame is a cart pulled by a single, perplexed-looking horse. The street--and the world--has changed forever. Anders Hjælmsø Svennesen, CIO at the DKK 327 billion ( 50 billion) Danica Pension in Denmark, uses these images in presentations to illustrate the speed at which technology can fundamentally change the way we live.

At a time when the banking industry needs to become increasingly focused on creating better customer experiences, the importance of distributing personalized communications that provide real value has never been greater. Artificial intelligence (AI) can help make this possible -- both automatically and at scale. The banking industry is undergoing a major transformation. Evolving regulatory requirements, more demanding customers, and greater competition from new, non-traditional players are among the catalysts driving change. Collectively, these and other factors are forcing banks and credit unions to rethink their business and how they engage with consumers.