Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown Universityresearchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” to use with their exiting data sets in order to generate useful predictions.

 

One example the researchers provide is that doctors could make use of the system to make predictions about the likelihood their patients have of contracting specific diseases based on their medial history. Or, they suggest, a business owner could use their historical sales data to develop more accurate forecasts, quickly and without a ton of manual analytics work.

 

Researchers are calling this feature the Northstar system’s “virtual data scientist,” (or VDS) and it sounds like it could actually replace the human equivalent, especially in settings where one would never actually be readily available or resourced anyway. Your average doctor’s office doesn’t have a dedicated data scientist headcount, for instance, and nor do most small- to medium-sized businesses for that matter. Independently owned and operated coffee shops and retailers definitely wouldn’t otherwise have access to this kind of insight.

Sourced through Scoop.it from: techcrunch.com

Although it might be theoretically possible to replicate the functioning of a human brain, it is not practicable as of now. Thus, capability-wise, we are leaps and bounds away from achieving artificial general intelligence. However, time-wise, the rapid rate at which AI is developing new capabilities means that we might be get close to the inflection point when the AI research community surprises us with the development of artificial general intelligence. And experts have predicted the development of artificial intelligence to be achieved as early as by 2030. A survey of AI experts recently predicted the expected emergence of AGI or the singularity by the year 2060.

 

Thus, although in terms of capability, we are far from achieving artificial general intelligence, the exponential advancement of AI research may possibly culminate into the invention of artificial general intelligence within our lifetime or by the end of this century. Whether the development of AGI will be beneficial for humanity or not is still up for debate and speculation. So is the exact estimate on the time it will take for the emergence of the first real-world AGI application. But one thing is for sure — the development of AGI will trigger a series of events and irreversible changes (good or bad) that will reshape the world and life as we know it, forever.

Sourced through Scoop.it from: www.forbes.com

Machine learning advances go above and beyond what has presently been achieved in medicine, the findings showed. Machine learning is overtaking humans in predicting death and heart attack, suggesting a continued maturation of the technology and a potential for increased efficiency among caregivers in the healthcare system, finds a study presented at the International Conference on Nuclear Cardiology and Cardiac.

 

Sourced through Scoop.it from: www.healthcarefinancenews.com

For better or worse, a new technology is making its way from consumers’ homes into America’s classrooms: voice-controlled "smart speaker" systems from companies such as Amazon and Google.

The internet-enabled devices listen to what users say, send audio recordings to the cloud, translate that information into commands, and respond accordingly—providing users with a personal digital voice assistant such as Amazon’s Alexa, which teachers are now using to help with everything from setting a classroom timer to leading a group of 3rd graders through a spelling test.

Groups such as the American Civil Liberties Union are raising alarms about privacy.

"Should students be required to submit themselves to always-on voice-tracking and other third-party surveillance in order to get an education?" asked ACLU staff technologist Daniel Kahn Gillmor in an interview. 

Still, the early K-12 adopters of smart speakers and digital voice assistants are generally enthusiastic.

Sourced through Scoop.it from: blogs.edweek.org

Contrary to what its name might suggest, digital transformation is primarily a problem of culture and leadership, a “human” phenomenon. It implies working in a transdisciplinary way, collaborating beyond the usual borders and above all – like in any organizational transformation process – creating trust: trust between engineers and humanists, between government departments, between citizens and government, etc. And since there are no miracles, trust is built over time and experience and it can only come from listening, honesty, competence, and transparency.

 

Sourced through Scoop.it from: pierrelevyblog.com

For some people, artificial intelligence still makes them feel a little…uneasy. It’s often depicted as sinister-looking robots who will take over our lives and our jobs, or even replace humanity. 

The reality is, we are already in an age in which AI is infused into our everyday lives in ways that augment rather than replace people. Digital assistants such as Cortana can find you the closest restaurant, dictate a text to your friend, manage your email inbox and even help you create more beautiful PowerPoint presentations.  Whether you realise it or not, AI is an integral part of all these interactions. And while it’s not something you can often see or touch, I bet you’re already experiencing the benefits of AI every day.

Sourced through Scoop.it from: www.huffingtonpost.co.uk

The concept of Big Data is a relatively new one. It denotes the availability of vast volumes and sources of data, which were not available before. By itself, Big Data is powerful, and when combined with Artificial Intelligence and machine learning, the opportunities presented by this combination are just endless.  As big data moves to the maturity phase, firms are now looking for ways to combine the scale of AI and the agility of Big Data processes to bring about an acceleration on the delivery of the much-needed business value.

The Power of Combining AI and Big Data
Most businesses are data-driven. As a result, firms with the right type and quantity of data has the upper hand over rivals. Convergence between AI and big data is promising. Firms can now access large volumes of broken down and categorized data by their usefulness. Traditional computer processors cannot process big data. Big data can best be processed by a GPU database, which has the flexibility needed to handle a significant amount of data of different types.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data…

 

Sourced through Scoop.it from: ctovision.com