Talk Dirty With Machine

Robots flirt more or less how you’d expect: awkwardly, employing clichés, direct questions and the occasional emoji to communicate interest. Sound like the guy you’ve been talking to on Bumble? Well, that’s a good thing as far as an emerging group of tech entrepreneurs is concerned. “Flirttech,” if you will, has recently assumed the form Continue Reading

Announcing ANIMAS, Machine Learning for the Tactical EdgeZ

Portability, austere conditions and bandwidth limitations are amongst the many hurdles in bringing advanced technology to the tactical edge while still leaving our forward troops with limited information at best. To solve these complex issues, Zapata AI announces our Artificial Neural-Intelligence Modular Analytics System (ANIMAS) (Patent Pending). ANIMAS greatly enhances an operator’s ability to gain, Continue Reading

Enriching Employee Experience through Technology

It has been said building the employee experience is the next competitive frontier for companies. In the U.S. alone, employees are quitting their jobs in record numbers with studies showing the voluntary turnover hovering above 15%. That makes streamlining work and improving the employee experience a fundamental imperative for businesses as they struggle to maintain Continue Reading

Microsoft Launches New Tools To Simplify AI Model Creation In Azure Machine Learning

Microsoft this week announced a series of new Azure services and developer technologies that put advanced capabilities spanning artificial intelligence, mixed reality, internet of things and blockchain in the hands of developers. These services range from creating a new interface for a tool that automates the process model creation, to a new no-code visual interface Continue Reading

5 Reasons Why Doctors Should Learn Data Science

Data science and artificial intelligence are no longer buzz words in the biomedical research community. Physicians and other caregivers are increasingly being encouraged by hospitals and health insurance companies to utilize continous data captured using wearable medical devices. However classical healthcare heavily relies on high accuracy sparse datasets, i.e. patients are expected to get a Continue Reading