9 additional books for the Next Economy
An expanded economy-related reading list for the year ahead.
Commentary
Independent perspectives on the state of business and technology.
Rethinking programming
In this edition of the Radar column, we look at how the tools and techniques of programming are poised to evolve.
10+ books for the Next Economy
A selective economy-related reading list for the year ahead.
Radar trends to watch: December 2019
We’re tracking notable developments in privacy, security, health, and more.
A 5G future
In this edition of the Radar column, we explore the limitations and possibilities of high-speed 5G connectivity.
Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track
In this edition of the Radar column, we explore Google’s quantum supremacy milestone.
Defusing propaganda feedback loops on the social web
The struggle is not about free speech; it's about the right to pay attention and to think.
TinyML: The challenges and opportunities of low-power ML applications
In this edition of the Radar column, we look at what’s possible when ML apps can work with minimal or inconsistent power supplies.
Machine learning requires a fundamentally different deployment approach
As organizations embrace machine learning, the need for new deployment tools and strategies grows.
Antitrust regulators are using the wrong tools to break up Big Tech
What we really need is disclosure of information about the growth and health of the supply side of Big Tech's marketplaces.
We need more than innovation to build a world that’s prosperous for all
Tim O’Reilly explains how we can “gradually, then suddenly” create a better world.
Maximizing paper clips
We won’t get the chance to worry about artificial general intelligence if we don’t deal with the problems we have in the present.
Making Facebook a scapegoat is a mistake
Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems.
Toward the next generation of programming tools
Programmers have built great tools for others. It’s time they built some for themselves.
The fundamental problem with Silicon Valley’s favorite growth strategy
Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers.
The evolution and expanding utility of Ray
There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science.
Reinforcement learning for the birds
Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too.
Rethinking informed consent
Consent is the first step toward the ethical use of data, but it's not the last.