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Notable and Interesting Recent AI News, Articles, and Papers for Thursday, July 18, 2024

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A selection of the most important recent news, articles, and papers about AI.


Image of a futuristic AI data center

News, Articles, and Analyses

IBM text-to-SQL generator tops leaderboard – IBM Research

(Tuesday, July 02, 2024) “IBM’s generative AI solution takes a top spot on the BIRD benchmark for handling complex database queries”

Reaffirming IBM’s commitment to the Rome Call for AI ethics – IBM Research

(Monday, July 15, 2024) “IBM joined representatives from many of the world’s major religions in Japan to discuss ethical AI development.”

AMD takes a deep dive into architecture for the AI PC chips | VentureBeat

Author: Dean Takahashi

(Monday, July 15, 2024) “Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Advanced Micro Devices executives revealed the details of the chipmaker’s latest AI PC architecture, which includes a new neural processing unit (NPU) in the company’s latest AMD Ryzen AI chips. The company announced the latest AMD Ryzen […]”

MathΣtral | Mistral AI | Frontier AI in your hands

(Tuesday, July 16, 2024) “As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license.”

AI in gaming: Developers worried by generative tech

“In a struggling games industry AI has been hailed as a possible saviour. But not everyone’s convinced.”

Technical Papers and Preprints

[2407.12690] The Dual Imperative: Innovation and Regulation in the AI Era

Author: Carvão, Paulo

arXiv logo(Thursday, May 23, 2024) “This article addresses the societal costs associated with the lack of regulation in Artificial Intelligence and proposes a framework combining innovation and regulation. Over fifty years of AI research, catalyzed by declining computing costs and the proliferation of data, have propelled AI into the mainstream, promising significant economic benefits. Yet, this rapid adoption underscores risks, from bias amplification and labor disruptions to existential threats posed by autonomous systems. The discourse is polarized between accelerationists, advocating for unfettered technological advancement, and doomers, calling for a slowdown to prevent dystopian outcomes. This piece advocates for a middle path that leverages technical innovation and smart regulation to maximize the benefits of AI while minimizing its risks, offering a pragmatic approach to the responsible progress of AI technology. Technical invention beyond the most capable foundation models is needed to contain catastrophic risks. Regulation is required to create incentives for this research while addressing current issues.”

[2407.12043] The Art of Saying No: Contextual Noncompliance in Language Models

Authors: Brahman, Faeze; Kumar, Sachin; Balachandran, Vidhisha; Dasigi, Pradeep; Pyatkin, Valentina; Ravichander, Abhilasha; Wiegreffe, Sarah; Dziri, Nouha; Chandu, Khyathi; Hessel, Jack; Tsvetkov, Yulia; Smith, Noah A.; Choi, Yejin; Hajishirzi, Hannaneh

arXiv logo(Tuesday, July 02, 2024) “Chat-based language models are designed to be helpful, yet they should not comply with every user request. While most existing work primarily focuses on refusal of “unsafe” queries, we posit that the scope of noncompliance should be broadened. We introduce a comprehensive taxonomy of contextual noncompliance describing when and how models should not comply with user requests. Our taxonomy spans a wide range of categories including incomplete, unsupported, indeterminate, and humanizing requests (in addition to unsafe requests). To test noncompliance capabilities of language models, we use this taxonomy to develop a new evaluation suite of 1000 noncompliance prompts. We find that most existing models show significantly high compliance rates in certain previously understudied categories with models like GPT-4 incorrectly complying with as many as 30% of requests. To address these gaps, we explore different training strategies using a synthetically-generated training set of requests and expected noncompliant responses. Our experiments demonstrate that while direct finetuning of instruction-tuned models can lead to both over-refusal and a decline in general capabilities, using parameter efficient methods like low rank adapters helps to strike a good balance between appropriate noncompliance and other capabilities.”

 

Notable and Interesting Recent AI News, Articles, and Papers for Tuesday, July 9, 2024

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Futuristic AI Data Center

Unleash developer productivity with generative AI | McKinsey

(Tuesday, June 27, 2023) “A new McKinsey study shows that software developers can complete tasks up to twice as fast with generative AI. Four actions can help maximize productivity.”

IBM Makes Generative AI Platform for DevOps Available – DevOps.com

(Tuesday, July 02, 2024) “IBM has made available IBM Concert, leveraging generative artificial intelligence and knowledge graphs to surface in real-time dependencies.”

Maintaining human oversight in AI-enhanced software development – Help Net Security

(Wednesday, July 03, 2024) “It’s not that AI-generated code introduces new security gaps; it just means that even more code will make its way through existing gaps.”

Transparency From Behind the Generative AI Curtain – The New Stack

(Friday, July 05, 2024) “The Foundational Model Transparency Index illuminates the black box of data on which large language models are trained.”

Nintendo Says Generative AI Can Be Used in ‘Creative Ways,’ but Highlights IP Issues – IGN

(Friday, July 05, 2024) “Nintendo has commented on the controversial topic of generative AI in video game development, outline the pros and cons as it sees them.”

Enterprises must stop GenAI experiments and start long-term strategies | Computer Weekly

“Steven Webb, chief technology & innovation officer, Capgemini UK argues for enterprise organisations to put aside GenAI experimentation and build long-term strategies with it.”

Gen AI and software development | Deloitte Insights

“Freeplay CEO Ian Cairns describes how the organization has adapted to the paradigm shift that generative AI demands while building AI applications”

Zapata AI and D-Wave Quantum Announce Expanded Partnership for Advanced Generative AI Solutions

“BOSTON and PALO ALTO, Calif., July 8, 2024 — Zapata Computing Holdings Inc., a leader in Industrial Generative AI software solutions, and D-Wave Quantum Inc., a leader in quantum computing […]”

Notable and Interesting Recent AI News, Articles, and Papers for Monday, July 1, 2024

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Futuristic AI Data Center

France leads the pack for generative AI funding in Europe | TechCrunch

(Wednesday, June 19, 2024) “Like it or hate it, artificial intelligence — especially generative AI — is the technology story of 2024. OpenAI, with its rollouts of viral services like”

Generative AI Can’t Cite Its Sources

(Wednesday, June 26, 2024) “How will OpenAI keep its promise to media companies?”

Illia Polosukhin On Inventing The Tech Behind Generative AI At Google

(Thursday, June 27, 2024) “Illia Polosukhin is one of the “Transformer 8,” a group that many call the founding fathers of generative AI. They co-wrote a paper at Google in 2017 that es…”

How generative AI could reinvent what it means to play

“AI-powered NPCs that don’t need a script could make games—and other worlds—deeply immersive.”

Cornell transforms generative AI education and clones a faculty member | Cornell Chronicle

“Designing and Building AI Solutions is a new online certificate program, with one-of-a-kind features designed to enhance the learning experience for those that desire to build their own AI products—no coding required.”

IEEE Quantum Week and IBM Quantum

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IEEE Quantum Week 2020
This year’s IEEE Quantum Week is planned for October 12-16, 2020, in Denver, Colorado.

IEEE Quantum Week is a multidisciplinary quantum computing venue where attendees will have the unique opportunity to discuss challenges and opportunities with quantum researchers, scientists, engineers, entrepreneurs, developers, students, practitioners, educators, programmers, and newcomers.

Jerry M. Chow, IBM ResearchThe IBM Quantum team is well represented at the conference with a keynote from Jerry Chow. We also have 7 tutorials and 2 workshops.

Our tutorials are on the following topics:

  • Quantum programming, an introduction
  • Quantum machine learning for data scientists
  • Quantum hardware control: a hands-on introduction
  • Quantum algorithms for optimization
  • Quantum algorithms for chemistry simulation
  • Assessing the quality of qubits and quantum computers
  • Serious Games for Quantum Computing

Our workshops are:

  • Control and design of superconducting qubits
  • Software for quantum applications, algorithms, and workflows

Registration is now open.

Some practical things you can do to learn about quantum computing

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People often ask me “Where should I get started in order to learn about quantum computing?”. Here are several steps you can take. I work for IBM, so things I link to will often be to the IBM Quantum program. Also, I acknowledge that several of the links and videos toward the beginning involve me, but we’ll get through those quickly.

Watch some introductory videos

If you only watch one video, watch this one from WIRED with Talia Gershon:

This one with me is from early 2019 and discussed the IBM Q System One:

Finally, this video from CNBC with Professor Scott Aaronson of the University of Texas Austin, Martin Reynolds of Gartner, and me brings things up to date in January, 2020. Note that I personally do not support many of the statements about “Quantum Supremacy” (horrible label, supercomputers do have massive amounts of storage, off-by-15-million-percent math error):

Get a book

If you are really just getting started and want to systematically work through the required math at an easy and conversational pace, my book Dancing with Qubits should prepare you for more advanced material and give you a start to reading research papers. (Shameless self-plug.)

If you are a hard core physics and/or computer science person, you want to have Quantum Computation and Quantum Information: 10th Anniversary Edition 10th Anniversary ed. Edition by Michael A. Nielsen and Issac L. Chuang in your library. It’s a little old by now, but if you want to end up doing quantum computing research, you will likely have to become very familiar and comfortable with the contents. Other books to consider are Quantum Computing: A Gentle Introduction (good on algorithms, “gentle” is subjective!) and Quantum Computing for Computer Scientists (a bit dated and make sure you get a copy of the errata).

Play a game

Hello Quantum is available for Apple iOS and Android and will teach you the basics of how quantum gates and circuits work.

Hello Quantum screen shots

Build and run circuits with a real quantum computer

Quantum simulators have their place for basic education, experimentation, and debugging. Note, though, that a quantum simulator is to real quantum computer hardware as a TV console flight simulator is to a real plane. If you want a job as a pilot, I would prefer you knew how to fly an actual airplane.

The easiest way to get started without writing code is with the IBM Quantum Composer within the IBM Quantum Experience.

The IBM Quantum Experience has over 200,000 registered users, so you’ll be joining a very large community of beginner, intermediate, and advanced users.

IBM Quantum Composer

Learn Python

If you are going to write quantum computing code, learn Python. As I write this, the latest version is 3.8. You want Python 3, not Python 2.

Learn Jupyter Notebooks

This is the modern way of developing full documents with interactive code, executions, graphics, videos, and visualizations. It’s used within the IBM Quantum Experience but also many other computational and AI applications. You are mainly interested in how to use it through a browser, not how to run and maintain the console.

Website (introductory): Introduction to Jupyter Notebooks

Write quantum computing code in Qiskit

Qiskit is the leading open source platform for developing quantum computing code and applications. It’s available on Github and available under the Apache 2,0 license. It’s had over 300,000 downloads but I’m recommending you use it through your browser on the IBM Cloud. As with the Composer, it is available through the IBM Quantum Experience.

Whether you want to download Qiskit or use it online, the easiest way to get get started is to watch the series of videos by Abe Asfaw.

From there, you can watch the other videos and also learn about the Qiskit Community.

At this point you are ready to work your way through the online open source Learn Quantum Computing through Qiskit.Open source Qiskit textbook

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