Finlay MacDonald was jailed on Friday for killing his brother-in-law and attempting to murder three others.
from BBC News https://ift.tt/GBvH5Pr
from BBC News https://ift.tt/GBvH5Pr
Saturday, 30 November 2024
Friday, 29 November 2024
Thursday, 28 November 2024
Tamzin Hall, 17, died when she was struck by a car on the M5 in Somerset.
from BBC News https://ift.tt/c3DCKrh
from BBC News https://ift.tt/c3DCKrh
Tell HN: Happy Thanksgiving
5 by dickfickling | 0 comments on Hacker News.
Another year has gone by and HN remains my favorite corner of the internet. This year I’m most thankful for the good fortune that my passion and my job are one and the same. What are you thankful for?
5 by dickfickling | 0 comments on Hacker News.
Another year has gone by and HN remains my favorite corner of the internet. This year I’m most thankful for the good fortune that my passion and my job are one and the same. What are you thankful for?
Wednesday, 27 November 2024
Tuesday, 26 November 2024
Monday, 25 November 2024
Alistair Bruce-Ball and guests with reaction and debate on the weekend's football.
from BBC News https://ift.tt/AZ5kX37
from BBC News https://ift.tt/AZ5kX37
Sunday, 24 November 2024
Max Verstappen is recognised as one of the all-time greats of F1 and demonstrated why by maximising his results during 2024, writes Andrew Benson.
from BBC News https://ift.tt/ROKHJEs
from BBC News https://ift.tt/ROKHJEs
Saturday, 23 November 2024
Friday, 22 November 2024
Thursday, 21 November 2024
Wednesday, 20 November 2024
Labour’s Bell Ribeiro-Addy said she has been told of human remains frequently auctioned "disguised as modified items or replicas".
from BBC News https://ift.tt/ajwJku5
from BBC News https://ift.tt/ajwJku5
Tuesday, 19 November 2024
Rafael Nadal loses in what might prove to be the final match of his career as Davis Cup hosts Spain fall behind against the Netherlands.
from BBC News https://ift.tt/vWaxYUP
from BBC News https://ift.tt/vWaxYUP
Monday, 18 November 2024
Sunday, 17 November 2024
Saturday, 16 November 2024
Friday, 15 November 2024
Thursday, 14 November 2024
Wednesday, 13 November 2024
Tuesday, 12 November 2024
Monday, 11 November 2024
England's review of their last-gasp defeat by Australia was "brutal" but exactly what the squad needed, says wing Ollie Sleightholme.
from BBC News https://ift.tt/PlkXsuR
from BBC News https://ift.tt/PlkXsuR
Sunday, 10 November 2024
Saturday, 9 November 2024
Lloyd Martin, who has Down's syndrome, runs the New York Marathon after a record-breaking London run.
from BBC News https://ift.tt/6kxKNAs
from BBC News https://ift.tt/6kxKNAs
Friday, 8 November 2024
The messages include references to slavery and were received across the country.
from BBC News https://ift.tt/wsYfK9V
from BBC News https://ift.tt/wsYfK9V
Thursday, 7 November 2024
Wednesday, 6 November 2024
Politicians are Jungian symbols, policies are facades
5 by SherryFraser | 1 comments on Hacker News.
5 by SherryFraser | 1 comments on Hacker News.
A closer look at the dozens of family members, advisers and allies who joined the president-elect on stage.
from BBC News https://ift.tt/i4trZVX
from BBC News https://ift.tt/i4trZVX
LATEST NEWS
New top story on Hacker News: Launch HN: Midship (YC S24) – Turn unstructured documents into usable data
Launch HN: Midship (YC S24) – Turn unstructured documents into usable data
9 by maxmaio | 9 comments on Hacker News.
Hey HN, we are Max, Kieran, and Aahel from Midship ( https://midship.ai ). Midship makes it easy to extract data from unstructured documents like pdfs and images. Here’s a video showing it in action: https://ift.tt/pQesdPl?... , and a demo playground (no signup required!) to test it out: https://ift.tt/u2FzWB1 We started 5 months ago initially trying to make an AI natural language workflow builder that would be a simpler alternative to Zapier or Make.com. However, most of our users seemed to be much more interested in the basic (and not very good) document extraction feature we had. Seeing how people were spending hours a day manually extracting data from pdfs inspired us to build what has become Midship! The problem is that despite all our progress in software, huge amounts of business data still lives in PDFs and images. Sure, you can OCR them, but getting clean, structured data out is still painful. Most existing tools just give you a blob of markdown - leaving you to figure out which parts matter and how they relate. We've found that combining OCR with language models lets us do something more useful: extract specific fields and tables that users actually care about. The LLMs help correct OCR mistakes and understand context (like knowing that "Inv#" and "Invoice Number" mean the same thing). We have two main kinds of users today, non-technical users that extract data via our web app and developers who use our extraction api. We were initially focused on the first one as they seemed like an underserved part of the market, but we’ve received a lot of interest from developers who face the same issues. For pricing, we currently charge a monthly Saas fee per seat for the web app and a volume based pricing for the API. We’re really excited to share what we’ve built so far and look forward to any feedback from the community!
9 by maxmaio | 9 comments on Hacker News.
Hey HN, we are Max, Kieran, and Aahel from Midship ( https://midship.ai ). Midship makes it easy to extract data from unstructured documents like pdfs and images. Here’s a video showing it in action: https://ift.tt/pQesdPl?... , and a demo playground (no signup required!) to test it out: https://ift.tt/u2FzWB1 We started 5 months ago initially trying to make an AI natural language workflow builder that would be a simpler alternative to Zapier or Make.com. However, most of our users seemed to be much more interested in the basic (and not very good) document extraction feature we had. Seeing how people were spending hours a day manually extracting data from pdfs inspired us to build what has become Midship! The problem is that despite all our progress in software, huge amounts of business data still lives in PDFs and images. Sure, you can OCR them, but getting clean, structured data out is still painful. Most existing tools just give you a blob of markdown - leaving you to figure out which parts matter and how they relate. We've found that combining OCR with language models lets us do something more useful: extract specific fields and tables that users actually care about. The LLMs help correct OCR mistakes and understand context (like knowing that "Inv#" and "Invoice Number" mean the same thing). We have two main kinds of users today, non-technical users that extract data via our web app and developers who use our extraction api. We were initially focused on the first one as they seemed like an underserved part of the market, but we’ve received a lot of interest from developers who face the same issues. For pricing, we currently charge a monthly Saas fee per seat for the web app and a volume based pricing for the API. We’re really excited to share what we’ve built so far and look forward to any feedback from the community!
Tuesday, 5 November 2024
BBC Verify investigates claims spreading online questioning the integrity of the US election.
from BBC News https://ift.tt/OF7n81V
from BBC News https://ift.tt/OF7n81V
Monday, 4 November 2024
Sunday, 3 November 2024
Saturday, 2 November 2024
Hundreds of volunteers take up buckets and brooms in Valencia as the government bolsters its response to the devastating floods.
from BBC News https://ift.tt/zjd4uOA
from BBC News https://ift.tt/zjd4uOA