Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.
AI for the CFO and Supply Chain Finance, a conversation with Anant Kale, CEO of AppZen on AI, Finance and the rise of the AI Boss ...
Customers are 32% more likely to buy a product after reading a review summary generated by a chatbot than after reading the ...
Opinion
The Hechinger Report on MSNOpinion
Opinion: Community colleges are uniquely positioned to train the nation’s AI workforce
Every industrial revolution begins by creating a new middle class. The steam engine, for example, didn’t just replace blacksmiths; it generated a workforce of machinists, engineers and factory ...
It’s no longer about hiring specialists. The market now demands hybrid marketers: people who can speak to both business goals and backend logic, who understand the big picture, and know how to work ...
Less than a year after holding that generic machine-learning patents are abstract in Recentive Analytics, Inc. v. Fox Corp., ...
A study in Risk Sciences examines whether alternative “big data” and the LASSO variable-selection method can strengthen health risk assessment in critical illness insurance. Using insurer application ...
To complete the above system, the author’s main research work includes: 1) Office document automation based on python-docx. 2) Use the Django framework to develop the website.
Pick any month in 2026, and you’ll likely see new “AI search” announcements hitting the legal tech market. Natural language queries, ...
Analyses of self-paced reading times reveal that linguistic prediction deteriorates under limited executive resources, with this resource sensitivity becoming markedly more pronounced with advancing ...
Two Colorado-based groups are partnering to develop power generation solutions for data centers. Liberty Energy, the Denver-based oil and gas company founded by U.S. Energy Secretary Chris Wright, and ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
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