Digital credentials allow organizations operating in any environment to verify an individual’s health status against established entry criteria while maintaining privacy. Frost & Sullivan’s latest visual white paper, Digital Health Passports for COVID-19 and Beyond: How digital credentials are helping…
Since I warned February 6 that China’s “digital yuan could bust the United States,” a great deal of nonsense on the topic has filled the media, offset by some good sense from the economists at the US investment house Morgan…
In his book Algorithms Are Not Enough, data scientist Herbert Roitblat provides an in-depth review of different branches of AI and describes why each of them falls short of the dream of creating general intelligence. Here’s how Roitblat describes supervised…
Can a machine powered by artificial intelligence (AI) successfully persuade an audience in debate with a human? As this research develops, it’s also a reminder of the urgent need for guidelines, if not regulations, on transparency in AI — at…
Businesses need to use actionable insights to drive decisions, but what is an actionable insight, and how exactly is data used to create one? For example, business leaders could track a customer’s behavior on a platform that can indicate their…
This past week, Elon Musk’s new venture Neuralink made headlines by showing a video of a monkey playing Pong with his mind, controlled by a surgically implanted wireless device that can directly read brain signals and interpret its intended commands.…
Advanced AI software, like OpenAI’s GPT-2 language model, is now being used for things like auto-completion, writing assistance, and more, and it can also be used to produce large amounts of false information — fast. To mitigate this risk, researchers…
As machine-learning algorithms grow smarter and more organizations come around to the idea of integrating this powerful technology into their processes, it’s high time your enterprise thought about putting machine learning to work, too. It’s quite likely that your business…
Whenever a scientific experiment is conducted, the results are turned into numbers, often producing huge datasets. In order to reduce the size of the data, computer programmers use algorithms that can find and extract the principal features that represent the most…
AI requires enormous and expensive leaps of knowledge about data, which itself is often under-governed. Questions about where to deploy ML plus concerns over costs, security, compliance, and ethics can stop the journey before it even begins. But what if…
