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.

I never win raffles, but I finally did last week at the MIT Xconomy in Boston. My prize was a Roomba. These robotic vacuums have been around for years for personal use, but now hotels are using similar devices to not only automate the cleaning process but also most of the hotel functionality like check-in, check-out, food delivery, and the automatic folding of clothes. There's even a completely robot-powered automated hotel in Japan. As a service, automation is invaluable when done well.

Artificial Intelligence (AI) is revolutionising multiple areas of information technology and has exciting potential for applications in biomedicine. It is predicted that the use of AI in healthcare will grow tenfold in the next five years. In a clinical setting AI will be a powerful tool, using patients' data - including their genetic sequence - to empower clinicians to make informed healthcare decisions based on the latest and most effective treatment options for each patient. Computer-aided diagnosis and treatment is currently being trialled at 16 cancer institutes in partnership with IBM's Watson Health AI venture. However, not all of the medical applications of AI will be for doctors; the technology has diverse applications for healthcare.

GMA Consulting, an IT consultancy specialising in solutions for the financial services industry, and TermSet, a provider of software which automatically creates accurate and consistent metadata and taxonomies for Office documents, PDF's and emails within Microsoft SharePoint, are pleased to announce a partnership to offer advanced document-centric solutions for firms in the financial services sector. GMA Consulting has extensive experience in implementing SharePoint solutions for its financial services clients and has identified two important areas where TermSet's advanced capabilities, such as summarisation and sentiment analysis can deliver clear benefits to its customers. Ben Grey, a Director at GMA Consulting, said "The first area we identified where TermSet could benefit our clients was managing research documents. Both buy and sell side firms produce and consume large amounts of research documents. When a piece of research material is uploaded to a SharePoint library TermSet can automatically produce a headline summary, classify the sentiment and automatically tag with metadata such as asset class, industry sector, company name and region / country. This will make it far easier for users to find documents they are interested in, particularly if SharePoint's advanced search capabilities are used as well. The second area we identified is legal document management. TermSet can help extract key information such as matter reference and counterparty names and tag documents with this information. This would negate the need for legal departments to manually classify documents, which is hugely time consuming and inefficient."

Google Calendar has launched a new feature called Goals that uses machine learning to help you figure out when you have time to pencil in stuff like spending time with your family or exercise. The feature is now available for Calendar's Android and iOS apps. Goals are set up by clicking into a category (which currently include Exercise, "Build a Skill," and "Me Time," though they can also be customized) and selecting a specific activity. Then Calendar will automatically find open slots, fill them in with your goal, and send reminders. If you schedule something else during those times, Google Calendar will find another window for your goal--but, in a tool that will surely be chronically abused by procrastinators, they can also be deferred.