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Lessons from PL/I:  A Most Ambitious Programming Language
From BLOG@CACM

Lessons from PL/I: A Most Ambitious Programming Language

PL/I stands for Programming Language 1, and its aim was to be the Highlander of programming languages. 

VOT Challenge: Computer Vision Competition
From BLOG@CACM

VOT Challenge: Computer Vision Competition

VOT Challenge is one of the outstanding competitions in computer vision. At the end of this important event this year, I would like to share my opinions about this...

Two Models of AI Oversight — and How Things Could Go Deeply Wrong
From BLOG@CACM

Two Models of AI Oversight — and How Things Could Go Deeply Wrong

It's good that governments are stepping up, but some of the signals are deeply worrisome.

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.

Teaching Data Science Research Methods to Human Resources Practitioners – Part 4
From BLOG@CACM

Teaching Data Science Research Methods to Human Resources Practitioners – Part 4

We believe programming experience is crucial for human resources practitioners in the data and tech era.

How Did Scientists Succumb to Aunt Edna? The Dangers of a Superintelligent AI is Fiction
From BLOG@CACM

How Did Scientists Succumb to Aunt Edna? The Dangers of a Superintelligent AI is Fiction

Speaking of the existential threat of AI is science fiction, and bad science fiction for that matter because it is not based on anything we know about science,...

A Turning Point for U.S. AI Policy: Senate Explores Solutions
From BLOG@CACM

A Turning Point for U.S. AI Policy: Senate Explores Solutions

Preparing for the proliferation of Artificial Intelligence.

Creating Organizational Sustainability by Connecting to National Core Values
From BLOG@CACM

Creating Organizational Sustainability by Connecting to National Core Values

The FIRST ISRAEL organization is working to increase its presence in the Israeli geographic periphery by exploiting Israel's social orientation and its strength...

400 Years of Mechanical Calculating Machines
From BLOG@CACM

400 Years of Mechanical Calculating Machines

Germany is celebrating the 400th birthday of Schickard's "calculating clock."

What Can the FATE Community Learn from the Successes and Failures in Privacy?
From BLOG@CACM

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...

AI in the Public Interest: Education and Democracy
From BLOG@CACM

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...

GPT-4's Successes, and GPT-4's Failures
From BLOG@CACM

GPT-4's Successes, and GPT-4's Failures

How GPT-4 fits into the larger tapestry of the quest for artificial general intelligence.

Teaching Data Science Research Methods to Human Resources Practitioners: Part Two
From BLOG@CACM

Teaching Data Science Research Methods to Human Resources Practitioners: Part Two

"When I heard we will be learning Python, I became anxious."

Cybersecurity Mistakes to Avoid at All Costs
From BLOG@CACM

Cybersecurity Mistakes to Avoid at All Costs

Preventing unauthorized access or misuse of confidential data.

Twiddler: Configurability for Me, but Not for Thee
From BLOG@CACM

Twiddler: Configurability for Me, but Not for Thee

Online platform businesses have a distinctly more abusive and sinister character than brick-and-mortar retail chains.

The Urgency of the Technological, Geopolitical, and Sustainability Races
From BLOG@CACM

The Urgency of the Technological, Geopolitical, and Sustainability Races

The HiPEAC Vision 2023.

Enabling AI Projects In An Enterprise
From BLOG@CACM

Enabling AI Projects In An Enterprise

Identifying the development behaviors that have the highest chance of success for artificial intelligence efforts.

Serendipity: When Research in One Area Leads to a Positive Result in Another
From BLOG@CACM

Serendipity: When Research in One Area Leads to a Positive Result in Another

A problem of the extremely optimal family of circulant graphs: when research in one scientific field gives an unexpected result in another.

How Not to Test GPT-3
From BLOG@CACM

How Not to Test GPT-3

Why doing psychology on large language models is harder than you might think.

Using GitHub CoPilot is Like Having a Superpower
From BLOG@CACM

Using GitHub CoPilot is Like Having a Superpower

With the advent of Large Language Models (LLMs) and tools like GitHub CoPilot, I think we’re a step closer towards a world where software can be created by anyone...
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