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From Communications of the ACM

Technical Perspective: Why Don't Today's Deep Nets Overfit to Their Training Data?

"Understanding Deep Learning (Still) Requires Rethinking Generalization," Chiyuan Zhang, et al., brings a fundamental new theoretical challenge: Why don't today's...

Understanding Deep Learning (Still) Requires Rethinking Generalization
From Communications of the ACM

Understanding Deep Learning (Still) Requires Rethinking Generalization

In this work, we presented a simple experimental framework for interrogating purported measures of generalization.

From Communications of the ACM

Technical Perspective: Programming Microfluidics to Execute Biological Protocols

The approach taken in "BioScript," by Jason Ott, et al., is an example of how programming languages can help develop executable protocols that are conforming, understandable...

BioScript
From Communications of the ACM

BioScript: Programming Safe Chemistry on Laboratories-on-a-Chip

This paper introduces BioScript, a domain-specific language for programmable biochemistry that executes on emerging microfluidic platforms.

From Communications of the ACM

Technical Perspective: SkyCore's Architecture Takes It to the 'Edge'

"SkyCore," by Mehrdad Moradi, et al., addresses an exciting use case for Unmanned Aerial Vehicles in which UAVs can act as mobile base stations for the cellular...

SkyCore
From Communications of the ACM

SkyCore: Moving Core to the Edge for Untethered and Reliable UAV-Based LTE Networks

We argue for and propose an alternate, radical edge evolved packet core design, called SkyCore, that pushes the EPC functionality to the extreme edge of the core...

From Communications of the ACM

Technical Perspective: BLeak: Semantics-Aware Leak Detection in the Web

What is the right leak oracle that can precisely capture the behavior of leaks in Web applications? "BLeak: Automatically Debugging Memory Leaks in Web Applications...

BLeak
From Communications of the ACM

BLeak: Automatically Debugging Memory Leaks in Web Applications

This paper introduces BLeak (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications.

From Communications of the ACM

Technical Perspective: Analyzing Smart Contracts with MadMax

"MadMax: Analyzing the Out-of-Gas World of Smart Contracts," by Neville Grech et al., effectively discovers a new smart contract vulnerability, and proposes a detection...

MadMax
From Communications of the ACM

MadMax: Analyzing the Out-of-Gas World of Smart Contracts

We identify gas-focused vulnerabilities and present MadMax: a static program analysis technique that automatically detects gas-focused vulnerabilities with very...

From Communications of the ACM

Technical Perspective: Two for the Price of One

"Lower Bounds for External Memory Integer Sorting via Network Coding" proves a remarkable connection between how efficiently computers can perform sorting and transmitting...

Lower Bounds for External Memory Integer Sorting via Network Coding
From Communications of the ACM

Lower Bounds for External Memory Integer Sorting via Network Coding

In this paper, we present a tight conditional lower bound on the complexity of external memory sorting of integers.

From Communications of the ACM

Technical Perspective: Supporting Linear Algebra Operations in SQL

Do we need a completely new database system to support machine learning?

Scalable Linear Algebra on a Relational Database System
From Communications of the ACM

Scalable Linear Algebra on a Relational Database System

We show that by making just a few changes to a parallel/distributed relational database system, such a system can become a competitive platform for scalable linear...

From Communications of the ACM

Technical Perspective: Algorithm Selection as a Learning Problem

"Data-Driven Algorithm Design," by Rishi Gupta and Tim Roughgarden, addresses the issue that the best algorithm to use for many problems depends on what the input...

Data-Driven Algorithm Design
From Communications of the ACM

Data-Driven Algorithm Design

We model the problem of identifying a good algorithm from data as a statistical learning problem.

From Communications of the ACM

Technical Perspective: An Answer to Fair Division's Most Enigmatic Question

The envy-free cake-cutting problem stood its ground for two decades, until it was cracked by Aziz and Mackenzie. Their solution is presented in "A Bounded and Envy...

A Bounded and Envy-Free Cake Cutting Algorithm
From Communications of the ACM

A Bounded and Envy-Free Cake Cutting Algorithm

We report on our algorithm that resolved the well-studied cake cutting problem in which the goal is to find an envy-free allocation of a divisible resource based...

From Communications of the ACM

Technical Perspective: A Perspective on Pivot Tracing

Instead of handing trace records off to a collector for long-term storage and future processing, the system described in "Pivot Tracing: Dynamic Causal Monitoring...

Pivot Tracing
From Communications of the ACM

Pivot Tracing: Dynamic Causal Monitoring for Distributed Systems

This paper presents Pivot Tracing, a monitoring framework for distributed systems, which addresses the limitations of today's monitoring and diagnosis tools by...
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