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Let's Be Objective about Large Language Models
From BLOG@CACM

Let's Be Objective about Large Language Models

Objective evaluation of the linguistic competency of large language models (LLMs) is of paramount importance as we start contemplating the use of this technology...

What Does AI-Powered Microsoft Bing Say?
From BLOG@CACM

What Does AI-Powered Microsoft Bing Say?

The answers from the AI-powered Microsoft Bing are often useless.

Getting a Program Right (7)
From BLOG@CACM

Getting a Program Right (7)

Have you run a program proof before? Now is your chance!

Getting a Program Right (1)
From BLOG@CACM

Getting a Program Right (1)

Why it is good to have a systematic approach to software verification.

My Scientific Big Data Are Lonely
From BLOG@CACM

My Scientific Big Data Are Lonely

Although there are daunting technical challenges posed by big data in science and engineering, the social and economic challenges are just as difficult, though...

Research Directions For Machine Learning and Algorithms
From BLOG@CACM

Research Directions For Machine Learning and Algorithms

An in-depth discussion of near-term research directions for machine learning and algorithms.

Embracing Noise or Why Computer Scientists Should Stop Worrying and Learn to Love the Errors
From BLOG@CACM

Embracing Noise or Why Computer Scientists Should Stop Worrying and Learn to Love the Errors

Precision is not required in everything or even most things.  Failures are best handled by expecting them all the time, not treating them as exceptions.  We should...

Intellectual Amplification via Computing
From BLOG@CACM

Intellectual Amplification via Computing

As the recent performance of IBM's Watson system on the game show Jeopardy! illustrated, the combination of large-scale data, rich algorithm suites and powerful...

Talking With PCAST
From BLOG@CACM

Talking With PCAST

I told three stories at PCAST — The Google Story, Model Checking, and Machine Learning — as a way to illustrate the importance of sustained federal funding of basic...

Remembering Internet Dogs
From BLOG@CACM

Remembering Internet Dogs

An iconic cartoon by Peter Steiner, which appeared in The New Yorker in 1993, captured the nature of the nascent Internet. It shows a dog seated at a computer,...

Learning from the DARPA Network Challenge
From BLOG@CACM

Learning from the DARPA Network Challenge

Part 3: Lessons Learned. This is the story of the Georgia Tech team's experiences in the DARPA Network Challenge, a competition designed to see how online social...

Finding DARPA's 10 Red Balloons
From BLOG@CACM

Finding DARPA's 10 Red Balloons

Part 2: Launch Day. This is the story of the Georgia Tech team's experiences in the DARPA Network Challenge, a competition designed to see how online social networks...

Preparing For the DARPA Network Challenge
From BLOG@CACM

Preparing For the DARPA Network Challenge

In late 2009 DARPA held its Network Challenge, a competition designed to see how online social networks could locate 10 red weather balloons moored throughout the...

WSDM 2010: Day 3
From BLOG@CACM

WSDM 2010: Day 3

Third day of WSDM 2010.

WSDM 2010: Day 2
From BLOG@CACM

WSDM 2010: Day 2

 Report on 2nd day of WSDM 2010.

WSDM 2010: Day 1
From BLOG@CACM

WSDM 2010: Day 1

 Report on first day of WSDM 2010 conference.

What Will 2010 Bring?
From BLOG@CACM

What Will 2010 Bring?

What changes will we see in 2010 in computing?

The Rise of the External Brain
From BLOG@CACM

The Rise of the External Brain

From an entirely unexpected source, we begin to realize the dream of an external brain that supplements our knowledge, wisdom, and memories.

Better GPS Software Through ­User Feedback
From BLOG@CACM

Better GPS Software Through ­User Feedback

I appreciate my GPS software can tell me where I am, but it should get better at predicting where I will go.

Grace Hopper Keynote 1: Megan Smith
From BLOG@CACM

Grace Hopper Keynote 1: Megan Smith

Megan Smith keynote at Grace Hopper
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