In this week’s People of ACM, we interview leading AI developer Chip Huyen. Among other topics, she discusses her "Machine Learning Interviews Book," a guide for job seekers. Read here: https://t.co/3L0dGv7UXZ
Securing Global Law Enforcement Networks Against Cyberattacks
External software can compromise confidential police records when access controls and monitoring fall short. https://t.co/LNFxNn2OQF
AI Coding Benchmarks Need Composition Cards:
Why the same model scores 70 percent and 6 percent, and what every benchmark should ship
The audit is cheap for public benchmarks and impossible for hidden ones without disclosure.
https://t.co/cKgqQZNTaM
Haider Warraich is "super bullish" on open source models. Why?
Check out his latest interview with ACM Bytecast. Full conversation here: https://t.co/6FQ4HcAdpi
#AIMedicine
Click Fraud Beyond Bots: Why Better Models Are Not Enough
Digital ad fraud costs the industry over $100 billion a year, and ad spending is rising faster than defenses. https://t.co/zQG49OuZLM
Software development is moving away from writing code line by line. Developers now manage multiple coding agents across different parts of a codebase at once. But relying on AI for programming can lead to challenges. https://t.co/FFCnTVyPxU
Who are ACM and who do we represent?
Based on over 110,000 survey responses, this snapshot reveals a global community witnessing major generational demographic differences.
These findings matter because they help us understand not just who participates in ACM today, but also whose presence and voices are missing. Learn more here: https://t.co/0qyo5PLLkL
Join ACM and help shape the future of computing with us: https://t.co/k1PoFvEYm2
"A New Era for Inside Risks," by Nancy Leveson (@MIT), who is taking over #CACMmag's Inside Risks, describes the column's evolution and future. https://t.co/oiMuSEpQMm
"AI Finds its Way Into Backcountry Search and Rescue," by Karen Emslie/@DamnRebelBitch, describes how AI is transforming search and #rescue, and also enabling non-tech rescuers to build bespoke solutions for their teams. https://t.co/4CGedt6qIJ
Welcome to the latest issue of Advances in Computing, your trusted source for computing news and insights!
In this issue:
✔️ Turing Laureate Vint Cerf speaks with CACM about his post-retirement initiatives and thoughts on AI agents
✔️ The potential return of oral exams with the help of voice AI
✔️ What happens when AI becomes first listener
...and more.
📩 Subscribe & share: https://t.co/G65Xq3xtt7
How to build a paradigm-shifting machine?
Watch ACM Turing Laureate Richard Sutton and Oak Lab co-founder Khurram Javed share their views.
Source: Sequoia Capital YouTube interview - "Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again"
#computing #deeplearning #ACMTuringAward
How Does Generative AI Change the Algorithmic Fairness Problem?
In AI fairness, one size never fits all. With generative AI, one size may fit none, demanding fundamentally new approaches to evaluate and mitigate bias.
https://t.co/ZCK6CZQ9ou
"Communication Corner: How to Avoid Empty and Misleading Explanations." Almost every text and speech starts with more material than what makes it into the final draft. What matters is that everything included makes fundamental ideas clear and useful. https://t.co/GxENgHxPq9
Benchmarks for Data Agents
A code solution is graded on whether it runs and passes its tests. A data change needs more than that. https://t.co/npRplPhiED
AI Finds its Way Into Backcountry Search and Rescue
AI is helping search and rescue teams locate and rescue people, and is turning some rescuers into programmers. https://t.co/dIGiFCxBIu
The Many Lives of ELIZA
Source code preserved on fading fanfold paper became the focus of a four-year international collaboration. https://t.co/GDJBUkGLhp