DEPARTMENT: Cerf's up
The widespread sharing of common or standardized APIs confers rich opportunities for choices of operating system or library implementations for the programming of applications.
The beauty of classical computing is that developing algorithms is incredibly easy. In contrast, in more than 25 years of intense research on quantum computing, only a few dozen algorithms have been developed.
DEPARTMENT: Letters to the editor
Andrew A. Chien's Editor's Letter (March 2019) addressed the topic of our common responsibility for the ecological cost of our industry but said nothing about so-called "embedded energy" when exploring the growth of electronic …
DEPARTMENT: [email protected]
Governance and independent oversight on the design and implementation of all forms of artificial intelligence and automation is a cresting wave about to break comprehensively on the field of IT and computing.
Researchers hunt for ways to keep quantum computing honest.
Using voice input to write programs.
A more connected world sounds alluring, but without better protections, the Internet of Things could lead to disaster.
COLUMN: Law and technology
The fundamentals of the field of Internet law have remained consistent, but details have evolved in response to technological innovation.
COLUMN: Privacy and security
Why the law-enforcement access question will not just go away.
Examining the expansion, proliferation, and integration of computing education everywhere.
Seeking to increase awareness of WPA2 Enterprise network security technology flaws and reduce risk to users.
The many challenges to maintaining stored information and ways to overcome them.
Achieving consistency where distributed transactions have failed.
Cloud-delivery networks could dramatically improve blockchains' scalability, but clouds must be provably neutral first.
SECTION: Contributed articles
A positive image would inspire the capable but underrepresented who might otherwise give up on computing.
Although smart contracts are Turing complete, it is a misconception that they can fulfill all routine contracts.
SECTION: Review articles
Tracing some of the latest advancements in algorithmic randomness.
SECTION: Research highlights
Demand for more powerful big data analytics solutions has spurred the development of novel programming models, abstractions, and platforms. "Scaling Machine Learning via Compressed Linear Algebra" seeks to address many of these …
General-purpose compression struggles to achieve both good compression ratios and fast decompression for blockwise uncompressed operations. Therefore, we introduce Compressed Linear Algebra for lossless matrix compression.
COLUMN: Last byte
The Furby singularity promises eternal conversation with the untimely departed.