Utah Governor Spencer Cox announced Thursday that a suspect in the murder of Charlie Kirk was in police custody. Cox said investigators reviewed video footage and identified Tyler Robinson, 22, arriving in a Dodge Challenger vehicle at approximately 08:29 local time on 10 September. When encountered in person by investigators on 12 September, he was observed in clothing consistent to that in previously released footage, including a plain maroon t-shirt, light-coloured shorts, a black hat with a white logo and light-coloured shoes. Can Trump send National Guard troops to Chicago? Trump has said we're going in, when asked about sending National Guard troops to Chicago, but does he have the power to do this?

The FBI has released new footage showing the suspect in the killing of US activist Charlie Kirk running across a roof - from where the fatal shot was fired - before dropping to the ground and crossing a road. As the authorities continue their search, BBC Verify's Nick Beake has been looking at the footage and what we know about his escape. Watch: Key moments from RFK Jr's heated Senate hearing The US health secretary faced questions on Covid deaths and vaccines a week after firing the head of the Centers for Disease Control and Prevention. The group said they are making their own list of Jeffrey Epstein's associates and called for the release of all files related to the investigation. The molten magma streamed down one of the world's most active volcanoes and put on another fiery show on the Island of Hawaii.

Utah authorities have released CCTV footage showing the Charlie Kirk shooting suspect fleeing the scene at Utah Valley University. The video shows a figure dressed in black running across a roof before dropping down to the ground and fleeing towards a wooded area. Authorities say the suspect was wearing Converse shoes, sunglasses and a distinctive black T-shirt with an American flag and an eagle. Watch: Key moments from RFK Jr's heated Senate hearing The US health secretary faced questions on Covid deaths and vaccines a week after firing the head of the Centers for Disease Control and Prevention. The group said they are making their own list of Jeffrey Epstein's associates and called for the release of all files related to the investigation.

Hundreds of people had gathered to hear right-wing activist Charlie Kirk speak at the Utah Valley University on Wednesday. The conservative activist and influential Trump ally was shot and killed while speaking. BBC Verify has been piecing together a timeline of how the incident unfolded. 'I would feel more worried' - Chicagoans on Trump's plan to deploy troops President Donald Trump says he will send the National Guard to Chicago to help fight crime but has not specified when that could occur. Officers in Michigan were responding to reports of a stolen vehicle, when they deployed a grappler device around one of the car's tires.

'Traumatising for everyone': Witnesses describe Charlie Kirk shooting scene Conservative activist Charlie Kirk has died after being shot while speaking to a crowd of hundreds on the campus of Utah Valley University on Wednesday. Witnesses describe what happened on the scene before and after a single shot rang out. 'I would feel more worried' - Chicagoans on Trump's plan to deploy troops President Donald Trump says he will send the National Guard to Chicago to help fight crime but has not specified when that could occur. Officers in Michigan were responding to reports of a stolen vehicle, when they deployed a grappler device around one of the car's tires. In response to a reporter's question, the president said he was'very active' over the Labor Day weekend.

Video shows conservative activist Charlie Kirk speaking to a crowd of hundreds on the campus of Utah Valley University on Wednesday. Then a single shot rang out, and students fled in every direction. The 31-year-old influencer and Trump ally was rushed to hospital but pronounced dead later. 'We love you, you will always be with us', says father of Minneapolis shooting victim Fletcher Merkel, 8, was one of two children killed in Wednesday's shooting at Annunciation Catholic School in Minneapolis. The Garnet wildfire in Fresno County has scorched nearly 14,000 acres (5,665 hectares) and remains uncontained.

The actor, well known for his roles in the Die Hard franchise, was diagnosed with frontotemporal dementia - a condition his family publicly disclosed in 2023. Emma Heming Willis spoke with CBS Mornings host Gayle King about her husband and her new book, which she hopes will help fellow caregivers. 'We love you, you will always be with us', says father of Minneapolis shooting victim Fletcher Merkel, 8, was one of two children killed in Wednesday's shooting at Annunciation Catholic School in Minneapolis. The Garnet wildfire in Fresno County has scorched nearly 14,000 acres (5,665 hectares) and remains uncontained. The BBC's Tom Bateman spoke with Patrick Scallen who lives near the Annunciation Church and ran towards the sound of gunfire.

What do we know about alleged Trump signature on Epstein letter? A birthday letter to Jeffrey Epstein from 2003, allegedly signed by Donald Trump, has been released by US lawmakers. The White House has said, the president did not write this letter, he did not sign this letter, but Democrats believe it is authentic. There has been a particular focus on the signature - BBC Verify's Jake Horton has been examining it, with the help of handwriting experts. The BBC's Tom Bateman spoke with Patrick Scallen who lives near the Annunciation Church and ran towards the sound of gunfire.

Earth System Models (ESMs) are essential for understanding the interaction between human activities and the Earth's climate. However, the computational demands of ESMs often limit the number of simulations that can be run, hindering the robust analysis of risks associated with extreme weather events. While low-cost climate emulators have emerged as an alternative to emulate ESMs and enable rapid analysis of future climate, many of these emulators only provide output on at most a monthly frequency. This temporal resolution is insufficient for analyzing events that require daily characterization, such as heat waves or heavy precipitation. We propose using diffusion models, a class of generative deep learning models, to effectively downscale ESM output from a monthly to a daily frequency. Trained on a handful of ESM realizations, reflecting a wide range of radiative forcings, our DiffESM model takes monthly mean precipitation or temperature as input, and is capable of producing daily values with statistical characteristics close to ESM output. Combined with a low-cost emulator providing monthly means, this approach requires only a small fraction of the computational resources needed to run a large ensemble. We evaluate model behavior using a number of extreme metrics, showing that DiffESM closely matches the spatio-temporal behavior of the ESM output it emulates in terms of the frequency and spatial characteristics of phenomena such as heat waves, dry spells, or rainfall intensity.

Passive acoustic monitoring (PAM) studies generate thousands of hours of audio, which may be used to monitor specific animal populations, conduct broad biodiversity surveys, detect threats such as poachers, and more. Machine learning classifiers for species identification are increasingly being used to process the vast amount of audio generated by bioacoustic surveys, expediting analysis and increasing the utility of PAM as a management tool. In common practice, a threshold is applied to classifier output scores, and scores above the threshold are aggregated into a detection count. The choice of threshold produces biased counts of vocalizations, which are subject to false positive/negative rates that may vary across subsets of the dataset. In this work, we advocate for directly estimating call density: The proportion of detection windows containing the target vocalization, regardless of classifier score. Our approach targets a desirable ecological estimator and provides a more rigorous grounding for identifying the core problems caused by distribution shifts -- when the defining characteristics of the data distribution change -- and designing strategies to mitigate them. We propose a validation scheme for estimating call density in a body of data and obtain, through Bayesian reasoning, probability distributions of confidence scores for both the positive and negative classes. We use these distributions to predict site-level densities, which may be subject to distribution shifts. We test our proposed methods on a real-world study of Hawaiian birds and provide simulation results leveraging existing fully annotated datasets, demonstrating robustness to variations in call density and classifier model quality.