Louise Thompson shares emotional unseen videos from her traumatic birth and dedicates it ‘to those who didn’t survive or lost their babies’ as she calls for a meeting with the Health Secretary over maternity care reform

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After experiencing difficulties herself four years ago, the Made In Chelsea star is working with former MP Theo Clarke to push for a dedicated maternity commissioner. Their campaign follows a parliamentary investigation they led, which revealed that maternity care across the UK is ‘shockingly poor’.

10 Years Later, Taylor Sheridan’s Neo-Western ‘Hell or High Water’ Blasts Onto Netflix

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Starting February 1st, you’ll be able to watch the critically acclaimed film Hell or High Water on Netflix. Written by Taylor Sheridan and directed by David Mackenzie, the movie stars Chris Pine and Ben Foster as two brothers who resort to bank robbery to solve their financial troubles. Hot on their trail are Texas Rangers, played by Jeff Bridges and Gill Birmingham. The cast also includes Katy Mixon, Dale Dickey, Amber Midthunder, and Margaret Bowman, who delivers a memorable performance as the “T-Bone Waitress.” Sheridan even makes a brief appearance as a cowboy. Here’s what the movie is about:

XRP’s Grand Farce: Will the Dominoes Topple to $3.30?

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Behold! The short-term traders flee like mice from a sinking ship, while the steadfast holders, with conviction as their shield, march forward. Lo, the XRP ETF flows whisper sweet nothings of positivity once more. Together, these machinations conspire to craft a domino effect-a single nudge, and the castle of $3.30 may yet stand tall, as it did in yesteryear’s glory.

Can AI Truly Read Research?

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Reasoning and information retrieval are interwoven to enable question answering over scientific literature, facilitated by a reinforcement learning environment-RLVR-and a released dataset of factoid questions paired with a retrieval corpus to establish verifiable rewards and benchmarks.

New research introduces a system that trains artificial intelligence to not just find, but understand scientific papers and answer complex questions using the latest reinforcement learning techniques.