A mobile application can generate situation-specific communication boards automatically from photographs.
Research Highlights
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Technical Perspective: Can AI Keep Accessible Communication in the Picture?
Recent research explores how AI can use photos to support communication, especially for people with communication impairments.
Computing with Time: Microarchitectural Weird Machines
Demonstrating the practicallity of μWMs by creating a microarchitecture-sensitive logic bomb.
Technical Perspective: How Exploits Impact Computer Science Theory
The term “weird machines” reflects the shift in the understanding of exploitability’s root cause.
HammingMesh: A Network Topology for Large-Scale Deep Learning
HammingMesh is optimized specifically for ML workloads and their communication patterns.
Technical Perspective: Mirror, Mirror on the Wall, What Is the Best Topology of Them All?
Combining torus topologies’ cost-effectiveness and switched topologies’ performance into a novel network topology.
Pitfalls in Machine Learning for Computer Security
Generic pitfalls related to machine learning affect all security domains and can affect the entire machine learning workflow, weakening assumptions, conclusions, and lessons learned.
Technical Perspective: Machine Learning in Computer Security is Difficult to Fix
The study points out some common issues hindering the design of ML models for computer security and how to overcome them.
BentoMuseum: 3D and Layered Interactive Museum Map for Blind Visitors
BentoMuseum is a layered, stackable, 3D museum map that makes complex structural information accessible by allowing explorations on a floor and between floors.
Technical Perspective: An Accessible Solution to Unlock Museums
The BentoMuseum introduces a novel interactive way for visitors to understand museum layouts before their visit.
Neural Architecture Search as Program Transformation Exploration
This paper shows that program and neural architecture transformations can be interleaved delivering significant performance improvement and greater expressivity.
Technical Perspective: Optimizing Convolution Neural Nets with a Unified Transformation Approach
The key idea in "Neural Architecture Search for Program Transformation Exploration," by Jack Turner et al., is to express model architecture search as a program transformation, such that it can be naturally unified with the optimization and compilation process.
A Security Model for Web-Based Communication
We propose an algorithmic security model based on the widely deployed technologies DNSSEC and Web PKI to cover the dimensions of identification, resolution, and transaction.
Technical Perspective: Revealing the Cracks in AA Services
"A Security Model for Web-Based Communication," by Pouyan Fotouhi Tehrani et al., presents a new study of alerting authorities and their cybersafety measures.
Solving Sparse Linear Systems Faster than Matrix Multiplication
In this paper, we present an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2.
Technical Perspective: Solve for x
Peng and Vempala have pushed through a barrier that has stood for decades. How far will their momentum carry us?
Technical Perpective: Looking Ahead at Inclusive Technology
A generative AI technology designed to support people with dyslexia.
LaMPost: AI Writing Assistance for Adults with Dyslexia Using Large Language Models
Researchers present LaMPost, an email-writing tool with the potential to support dyslexic users.
Technical Perspective: Tracing the Network Traffic Fingerprinting Techniques of OpenVPN
"OpenVPN is Open to VPN Fingerprinting," by Diwen Xue et al., investigates network traffic fingerprinting of a very popular privacy technique—OpenVPN.
Technical Perspective: The Software-Centric Approach of SYNERGY
The advantages of a software rather than hardware approach to FPGA virtualization.
Compiler-Driven FPGA Virtualization with SYNERGY
SYNERGY virtualizes FPGAs to be used effectively in datacenters.
Technical Perspective: Creating the Internet of Biological and Bio-Inspired Things
"mSAIL: Milligram-Scale Multi-modal Sensor Platform for Monarch Butterfly Migration Tracking," by Inhee Lee et al., describes a critical milestone in the mobile system community’s efforts toward creating the Internet of biological things.
mSAIL: Milligram-Scale Multi-Modal Sensor Platform for Monarch Butterfly Migration Tracking
We propose a wireless sensing platform, mSAIL, specifically designed for a monarch butterfly migration study based on previously developed custom-designed ICs.
Dynamic Placement in Refugee Resettlement
In this paper, we design an online algorithm for refugee allocation.
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