Scientists, Governments, and Corporations Urgently Need to Work Together to Mitigate AI Risk
"It is hard to see how you can prevent the bad actors from using it for bad things"—but we must try.
Artificial Intelligence and Machine Learning
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ChatGPT, Can You Tell Me a Story?
An exercise in challenging the true creativity of generative AI.
AlphaFold Spreads through Protein Science
Based on machine learning, DeepMind's code now lies at the heart of a variety of protein-structure tools and workflows. It may ultimately be replaced by models that are bigger but faster.
Reinventing Backend Subsetting at Google
Designing an algorithm with reduced connection churn that could replace deterministic subsetting.
Artificial Intelligence Still Can’t Form Concepts
Concepts and abstraction are key to unlocking AI's full potential.
ChatGPT Helps or Hurts our Cybersecurity?
The specter is that when fully mature, this technology would be able to generate undetectable attacks and the defenders will be constantly fighting these fires. I do not subscribe to this dystopian view of the future.
What Can the FATE Community Learn from the Successes and Failures in Privacy?
There are many similarities between FATE (Fairness, Accountability, Transparency, Ethics) and privacy, and I believe that there are a lot of lessons that the FATE community can learn from past work, successes, and failures in privacy.
Rage Against the Intelligent Machines
AI safety concerns mount as Large Language Model risks are revealed.
Even as software grows increasingly complex, artificial intelligence helps to simplify and automate coding tasks.
. . . And the Computer Plays Along
Software can improvise on the spot to accompany the performance of live musicians.
Artificial Intelligence for Materials Discovery
Finding novel materials needs more than pure machine learning.
Leveraging scalable pointer analysis, value analysis, and dynamic analysis.
Protecting Autonomous Cars from Phantom Attacks
Enabling object detectors to better distinguish between real and fake objects in semi-autonomous and fully autonomous vehicles.
Hoping for the Best as AI Evolves
Gary Marcus on the systems that "pose a real and imminent threat to the fabric of society."
A new generation of automatic theorem provers eliminate bugs in software and mathematics.
Technical Perspective: On Abstractions and Embedded Networks
"Symbol-Synchronous Buses," by Jonathan Oostvogels et al., conceives a notion of a symbol-synchronous bus, which effectively makes a multi-hop wireless network behave like a single wire.
Symbol-Synchronous Buses: Deterministic, Low-Latency Wireless Mesh Networking with LEDs
We describe a novel networking paradigm that aims to enable a new class of latency-sensitive applications by systematically breaking networking abstractions.
Will AI Replace Computer Programmers?
Advances in artificial intelligence tools that can code could improve productivity, but portend disruption.
Automatic Language Translation Still Unsatisfactory
Google Translate and DeepL Translate still have trouble recognizing the second person singular and plural and the polite form, even in very simple sentences.
The Sparks of AGI? Or the End of Science?
Marching into the future with an obstructed view.
Artificial Intelligence Without Real Intelligence?
Do the programs understand what they write?
Artificial intelligence is boosting the capabilities of automatic speech recognition.
AI in the Public Interest: Education and Democracy
Now is a critical time to vigorously pursue public interests in education and to avoid a slippery slide into yielding public governance to an entirely private market view of how AI should be made available to students, teachers, and educational institutions. We need to strengthen governance of public data and more strongly shape the market for AI in education.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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