BLOG@CACM

Why Businesses Must Untether Deep Learning

Mar 16 2023

Deep learning only took a few years to make the leap from another theoretical piece of future-tech to a very real tool that's already making an impact on the business world.

Vivienne Sze

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

Mar 15 2023

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

Mar 9 2023

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

Orit Hazzan and Dafna Gelbgiser

Cybersecurity Mistakes to Avoid at All Costs

Mar 8 2023

Preventing unauthorized access or misuse of confidential data.

Alex Vakulov

Twiddler: Configurability for Me, but Not for Thee

Mar 8 2023

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

Cory Doctorow

The Urgency of the Technological, Geopolitical, and Sustainability Races

Mar 8 2023

The HiPEAC Vision 2023.

Marc Duranton

Enabling AI Projects In An Enterprise

Mar 2 2023

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

Doug Meil

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

Mar 1 2023

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

Andrei Sukhov and Aleksandr Romanov

Teaching Data Science Research Methods to Human Resources Practitioners — Part One

Feb 22 2023

The challenge was to teach data science concepts to students who have gaps in their computer science background and are experts in human resources management and practice.

Orit Hazzan and Dafna Gelbgiser

Education

Feb 21 2023

How Not to Test GPT-3

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

Gary Marcus and Ernest Davis

Why *is* Bing So Reckless?

Feb 21 2023

And how did some prominent journalists utterly miss this initially?

Using GitHub CoPilot is Like Having a Superpower

Feb 17 2023

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. In fact, my colleague Brad Myers, who has investigated end-user programming for decades, believes that CoPilot is the biggest change to programming since Google search. I think this may be understating things. We’re going to see a wave of new kinds of software programming tools based on LLMs, and they will be transformative in how developers build and evaluate computer systems.

Jason Hong

Feb 16 2023

ChatGPT for Provost!

Three to five years from now, we won’t be talking about what ChatGPT can or can’t do, but we could be talking about how ChatGPT brought us all together, and the intellectual culture of the university began to shift.

Jeremy Roschelle

What Google Should Really Be Worried About

Feb 13 2023

How sewers of lies could spell the end of Web search.

Computing Applications

Feb 13 2023

What is an Author?

In a single-author text (such as this one), we can assume a lot about the process. In the multi-author case, all these assumptions start to break down.

Carlos Baquero

Inside the Heart of ChatGPT’s Darkness

Feb 13 2023

A Nightmare on LLM Street.

The Need For Combined Data And Analytic Governance

Feb 2 2023

Numbers don't mean anything if people don't understand, or trust, the computation behind them.

Doug Meil and Michael Onders

Computing Applications

Jan 24 2023

Why Data Security Is An Issue For Business Phone Systems In 2023

A discussion of the most common phone scams, how they work, and how to protect yourself from them.

Alex Tray

Security and Privacy

Jan 23 2023

ChatGPT in Computer Science Education

Asked "How will ChatGPT influence computer science education?" teachers barely addressed the threats it poses.

Orit Hazzan

Evaluating Research Results for Practical Applications

Jan 17 2023

The role of the application of research results in assessing the achievements of scientists.

Andrei Sukhov

Computing Applications

Jan 10 2023

Large Language Models like ChatGPT say The Darnedest Things

ChatGPT makes the same kinds of mistakes its predecessors did. What can and should we do about it?

Gary Marcus and Ernest Davis

What to Expect When You’re Expecting … GPT-4

Jan 4 2023

What comes after ChatGPT? Seven predictions for 2023.

Is Computing Innovation Getting Harder?

Jan 4 2023

Many of us, inside the ivory tower and outside, have felt at times that research is not quite delivering at the rate we hope it would.

Saurabh Bagchi