Machine Learning and Compression Systems in Communications and Healthcare
Machine learning has all sorts of applications across disciplines. Two important fields using machine learning to solve long-standing issues are communication and healthcare. Dr. Thomas Wiegand, executive director and professor at the Fraunhofer Henrich Hertz Institutionalization, goes over exciting advances made in these disciplines due to machine learning. [Machine... Read more
Why Consumers Should Trust Companies with Their Data
Hugo Pinto is an asthmatic. He’s aware of the environmental triggers that can induce an asthma attack, but he wasn’t satisfied with the option that faces most asthmatics: wait until an attack happens, and treat the symptoms once it does. At a hackathon, Pinto teamed up with other developers... Read more
Startup Watch: Accelerating drug discovery with BenevolentAI
Making new drugs is hard. Really hard. A 2014 study from Tufts University’s Center for the Study of Drug Development placed the cost of bringing a new prescription drug to market from R&D to clinical trials to regulatory approval at $2.6 billion. Facing high production costs and shortening timelines... Read more
4 Ways AI is Transforming the Healthcare Industry
AI in healthcare will not replace doctors; rather, AI will assist them to perform more effectively. Healthcare is a must-have for humans as it directly deals with their quality of life. Every health care institution focuses on avoiding even the slightest of errors. Asny mistake with helathcare can lead... Read more
Big Data is comforting senior citizens
Senior citizens are considered as the roots of a family; their health is considered is a prime concern for everybody. Technology has proved its worth in the healthcare industry and big data for senior citizens is just another spectacular application where technology focuses on human well-being. Big data’s ability... Read more
AI can manipulate your emotions now!
While humans are still struggling to understand each other, AI is bringing about the emotional manipulation of humans and taking over control. Artificial intelligence is advancing rapidly and trying to answer the common query of “whether machines can be intelligent without any emotions?” Machines have started interacting with humans... Read more
Health + Tech Perspective : Access to Symptoms > Better Algorithms
  Here’s a dangerous meme that I keep running into: “A doctor’s job is basically to look at symptoms, make a diagnosis, then prescribe treatment. Medicine is just a big decision tree — ripe for optimization and automation.” Of course, it’s mostly my friends in tech saying these things. It’ll come... Read more
Deep(ly) Unsettling: The ubiquitous, unspoken business model of AI-induced mental illness
“The junk merchant,” wrote William S. Burroughs, “doesn’t sell his product to the consumer, he sells the consumer to his product. He does not improve and simplify his merchandise. He degrades and simplifies the client.” He might as well have been describing the commercial, AI-mediated, social-network-driven internet. The emotionally... Read more
Accuracy of Deep Learning… using ultra–wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment
Editor’s note:  Additional authors and contributors of this research in the acknowledgements. Abstract Rhegmatogenous retinal detachment (RRD) is a serious condition that can lead to blindness; however, it is highly treatable with timely and appropriate treatment. Thus, early diagnosis and treatment of RRD is crucial. In this study, we... Read more
Five Best Practices in Healthcare Propensity Modeling
Editors note: This is the first post in a two-part series that discusses healthcare predictive and propensity modeling and selecting the optimal analytics partner to support your growth and engagement efforts. The second post in this series will share five critical predictive modeling questions to ask a prospective HCRM vendor. When... Read more