DEPARTMENT: Cerf's Up
I have been wondering what properties would be useful to realize in a system intended to keep personal information, where it is needed, up to date.
Vinton G. Cerf
Page 5
DEPARTMENT: BLOG@CACM
Alex Tray offers advice and insight into how and why to localize information technology products.
Alex Tray
Pages 6-7
COLUMN: News
Exploring a potential way to immensely speed up algorithms for the group isomorphism problem.
Erica Klarreich
Pages 9-11
The apparent ability of LLMs to write functioning source code has caused celebration over the potential for massive increases in programmer productivity and consternation among teachers.
Chris Edwards
Pages 12-13
Leveraging precisely designed alternate realities as therapeutic tools.
Gregory Mone
Pages 14-15
COLUMN: Opinion
Considering the interconnection of computing and human languages.
Christopher Hoadley, Sara Vogel
Pages 16-18
COLUMN: Computing Ethics
Applying AI techniques to journalism.
N. Diakopoulos, C. Trattner, D. Jannach, I. Costera Meijer, E. Motta
Pages 19-21
COLUMN: Historical Reflections
Fallout from an exploding bubble of hype triggered the real AI Winter in the late 1980s.
Thomas Haigh
Pages 22-26
COLUMN: Kode Vicious
On keeping a laboratory notebook.
George V. Neville-Neil
Pages 27-28
COLUMN: opinion
First-job readiness versus long-term career preparation.
Rahul Simha, Amruth N. Kumar, Rajendra K. Raj
Pages 29-31
Making conferences more accessible.
Steven Fraser, Dennis Mancl
Pages 32-34
Why ethics is not enough.
Alfred Z. Spector
Pages 35-38
SECTION: Practice
Security must be a business enabler, not a hinderer.
Phil Vachon
Pages 40-41
Personal, team, and organizational effectiveness can be improved with a little preparation.
Thomas A. Limoncelli
Pages 42-46
SECTION: Research
AI fairness should not be considered a panacea: It may have the potential to make society more fair than ever, but it needs critical thought and outside help to make it happen.
Maarten Buyl, Tijl De Bie
Pages 48-55
Challenges and opportunities faced by computing educators and students adapting to LLMs capable of generating accurate source code from natural-language problem descriptions.
Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa
Pages 56-67
Interacting with a contemporary LLM-based conversational agent can create an illusion of being in the presence of a thinking creature. Yet, in their very nature, such systems are fundamentally not like us.
Murray Shanahan
Pages 68-79
Exploring how human apppreciation for and interactions with robots are influenced by anthropomorphic features.
Rae Yule Kim
Pages 80-85
A Google case study finds ML training in the cloud can reduce CO2e emissions up to 100×.
David Patterson, Jeffrey M. Gilbert, Marco Gruteser, Efren Robles, Krishna Sekar, Yong Wei, Tenghui Zhu
Pages 86-97
SECTION: Research Highlights
"Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits," by Nutan Limaye et al., achieves a landmark in the larger quest of understanding hardness, dentity testing, and reconstruction.
Nitin Saxena
Page 100
In this paper, we prove the first superpolynomial lower bounds against algebraic circuits of all constant depths over all fields of characteristic 0.
Nutan Limaye, Srikanth Srinivasan, Sébastien Tavenas
Pages 101-108
"Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines," by Shengzhong Liu
et al., proposes a new methodology for overcoming the limitations of current AI frameworks to enable the use of deep neural networks …
Giorgio Buttazzo
Page 109
This paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and describes a solution to mitigate its effect.
Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek Abdelzaher
Pages 110-117
COLUMN: Last Byte
A race of AI beings from another world hang the fate of humanity on the decision of a single human.
Brian Clegg
Pages 120-ff