BookNet Canada Shares Data About “Canadian Book Borrowers in 2023”
BookNet Canada Shares Data About “Canadian Book Borrowers in 2023”
Stephen Abram's Posts About Library Land
BookNet Canada Shares Data About “Canadian Book Borrowers in 2023”
The University of Toronto has been named as one of the world’s top universities for the study of 50 subjects, including Library and Information Management, in the latest edition of the QS World University Rankings by Subject.
Library and Information Management ranks number 13 in the world this year, up from number 15 in 2023.
The University of Toronto is home to the world’s most top 50 subject entries, with 46 in this tier. U of T ranks for 50 subjects of which 22 climbed the table this year, 20 dropped, and 8 remained unchanged.
The 2024 edition of the QS World University Rankings by Subject, released today by global higher education analyst QS Quacquarelli Symonds, provides independent comparative analysis on the performance of more than 16,400 individual university programmes, taken by students at more than 1,500 universities in 96 locations around the world, across 55 academic disciplines and five broad faculty areas.
QS uses five key metrics to compile the subject rankings. Reputation indicators are based on the responses of more than 240,000 employers and academics to QS surveys while Citations per Paper and H-Index measure research impact and productivity. International Research Network (IRN) is used to assess cross-border research collaboration.
Canada has 647 programmes ranked across 32 institutions. Of these, 146 climbed the table, 200 dropped, and 266 remained unchanged. 35 were ranked for the first time.
Read QS’s detailed methodological information and see the full rankings.
The next frontier: AI that can plan ahead |
Via Superhuman AI
“Most chatbots can tell you what the weather is like. They can even contextualize climate trends from the past few decades. But ask them something more complicated — like how economic and social patterns might affect the climate in the future — and they’ll struggle to come up with an answer. |
That’s because AI models aren’t very good at anticipating things: We take it for granted that we can predict how different scenarios might play out before making a decision. How do we do it? By recalling past experiences. |
GPT-4 and its competitors, on the other hand, are only capable of “thinking” a few steps ahead. They especially struggle with math equations and logic puzzles, since those tasks require a lot of trial and error. |
That could soon change: |
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We’re already seeing a lot of improvement: For example, ChatGPT used to be pretty bad at chess. It sometimes tried to make moves that aren’t even allowed. But between GPT 3.5 and GPT 4, something changed. Now, ChatGPT can beat about 50% of ranked players. |
If the new models live up to the hype, it would make us one step closer to achieving Artificial General Intelligence (AGI) — the fabled point when AI can compete with humans in any cognitive task.” |
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