Changing the Nature of AI Research
Subbarao Kambhampati considers how artificial intelligence may be straying from its roots.
Artificial Intelligence and Machine Learning
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How AI Is Driving the Esports Boom
Artificial intelligence is helping the esports industry take the world by storm.
Deconstructing the Bakery to Build a Distributed State Machine
A rigorous journey from the bakery algorithm to a distributed state machine.
No-Code AI: Platforms and Tools
In the 1990s, tools like Macromedia Dreamweaver made Web development accessible to all. Today, no-code tools aim to do the same for artificial intelligence.
On the Ethics of Writing With AIs
AI-generated text, even if accepted from an ethical standpoint, raises questions about the provenance of the generated text.
hXDP: Efficient Software Packet Processing on FPGA NICs
We present hXDP, a solution to run on FPGAs software packet processing tasks described with the eBPF technology and targeting the Linux's eXpress Data Path.
Technical Perspective: hXDP: Light and Efficient Packet Processing Offload
In "hXDP: Efficient Software Packet Processing on FPGA NICs," the authors offer an interesting solution to bridging the performance gap between the CPU and the home network.
Advances in the Quantum Internet
A deep dive into the quantum Internet's potential to transform and disrupt.
A space-traveling bail-bond agent and the ship's resourceful AI chase fugitives across the galaxy.
The "uncanny valley effect" may be holding back the field of robotics.
Algorithmic fairness aims to remedy issues stemming from algorithmic bias.
FPGAs in Client Compute Hardware
Despite certain challenges, FPGAs provide security and performance benefits over ASICs.
Interpretable Machine Learning: Moving from Mythos to Diagnostics
A path forward for the ML community to address a stark disconnect.
Conferences can renew our professional commitment and inspire thought on problems we face.
On Sampled Metrics for Item Recommendation
This paper investigates sampled metrics and shows that it is possible to improve the quality of sampled metrics by applying a correction, obtained by minimizing different criteria.
Using Makeup to Block Surveillance
Altering one's facial features with a special type of makeup can keep them from being recognized by artificial intelligence.
Toward Verified Artificial Intelligence
Making AI more trustworthy with a formal methods-based approach to AI system verification and validation.
Language Models: Past, Present, and Future
A language modeling overview, highlighting basic concepts, intuitive explanations, technical achievements, and fundamental challenges.
When Satisfiability Solving Meets Symbolic Computation
The science of less-than-brute force.
Technical Perspective: Evaluating Sampled Metrics Is Challenging
"On Sampled Metrics for Item Recommendation," by Walid Krichene and Steffen Rendle, exposes a crucial aspect for the evaluation of algorithms and tools: the impact of using sampled metrics instead of exactly computed metrics.
AI as (an Ersatz) Natural Science?
The emergence of large learned models is changing the nature of artificial intelligence research in fundamental ways.
Shape the Future of Computing
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