By Ryan Woo and Casey Hall BEIJING (Reuters) -Beijing on Friday upgraded its warning for hot weather to "red" -

HUNTSVILLE, Ala.--(BUSINESS WIRE)--Sep 12, 2023--

Next time you're stranded in the desert, you might be thankful you dropped $1,000 on

NickEh30 said, 'I may have to cut all the ties to pursue legal action if he tries to contact me any further'

At a closed-door Senate forum on artificial intelligence, tech leaders are getting their chance to outline their views about possible oversight legislation

Microsoft joins OpenAI board, General Motors increases dividend and stock buybacks, Cigna and Humana discuss merger, and other news to start your day.

Twitch is ending support for its Nintendo Switch app. In a notice on its support

By Hyunjoo Jin and Akash Sriram (Reuters) -Tesla Inc CEO Elon Musk warned on Tuesday that the electric-vehicle maker was

A study of 150 stones dating back 1.4m years shows early humans were deliberately crafting spherical shapes – but nobody knows why. The Hebrew University of Jerusalem made findings after analysing the limestone balls which were unearthed in Ubeidiya, a dig site in Israel’s Jordan Rift Valley. Scientists have previously speculated that the stones, which were discovered in the 1960s and serve no discernable purpose, became round after being used as hammers. But the university’s team reconstructed the steps required to create the so-called spheroids and found they were part of a “preconceived goal to make a sphere”. The researchers used 3D analysis to retrace how they were made based on the markings and geometry of the spheroids. They concluded that the objects were intentionally “knapped”, the technique used to shape stone by hitting it with other objects. Antoine Muller, a researcher at the university’s Institute of Archaeology, said: “The main significance of the findings is that these spheroids from ‘Ubeidiya appear to be intentionally made, with the goal of achieving a sphere. “This suggests an appreciation of geometry and symmetry by hominins 1.4 million years ago.” Early humans clearly had some reason for making the balls, but what exactly that is remains a mystery. He said: “We still can’t be confident about what they were used for. A lot of work needs to be done to narrow down their functionality.” Sign up to our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

Scientists have developed an artificial intelligence (AI) tool that can classify four subtypes of Parkinson’s disease with up to 95% accuracy. Researchers from the Francis Crick Institute and the UCL Queen Square Institute of Neurology in London “trained” a computer program to recognise the subtypes of the condition using images of stem cells from patients. The team said their work, published in the journal Nature Machine Intelligence, could pave the way for personalised medicine and targeted drug discovery. Sonia Gandhi, assistant research director and group leader of the Neurodegeneration Biology Laboratory at the Crick, said: “We understand many of the processes that are causing Parkinson’s in people’s brains. The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine Sonia Gandhi, Francis Crick Institute “But, while they are alive, we have no way of knowing which mechanism is happening, and therefore can’t give precise treatments. “We don’t currently have treatments which make a huge difference in the progression of Parkinson’s disease. “Using a model of the patient’s own neurons, and combining this with large numbers of images, we generated an algorithm to classify certain subtypes – a powerful approach that could open the door to identifying disease subtypes in life. “Taking this one step further, our platform would allow us to first test drugs in stem cell models, and predict whether a patient’s brain cells would be likely to respond to a drug, before enrolling into clinical trials. “The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine.” Parkinson’s is a condition in which parts of the brain become progressively damaged over many years. Symptoms include involuntary shaking of particular parts of the body, slow movement, and stiff and inflexible muscles. But there is also a wide range of other physical and psychological symptoms such as depression and anxiety, problems sleeping, and memory problems. These vary from person to person due to differences in the underlying mechanisms causing the disease. The researchers said that until now, there was no way to accurately differentiate Parkinson’s subtypes. It means people are given nonspecific diagnoses and do not always have access to targeted treatments, support or care, the team added. For the study, the researchers generated stem cells, which have the ability to develop into specialised cell types in the body, from patients’ own cells. The team then used those cells to chemically create four different subtypes of Parkinson’s: two involving pathways leading to toxic build-up of a protein called alpha-synuclein and two involving pathways associated with dysfunctional mitochondria, the cell’s battery packs. Working with the British technology company Faculty AI, the team developed machine-learning algorithms which were able to accurately predict the Parkinson’s subtype when presented with images it had not seen before. James Evans, a PhD student at the Crick and UCL, and first co-author of the study, said: “Now that we use more advanced image techniques, we generate vast quantities of data, much of which is discarded when we manually select a few features of interest. “Using AI in this study enabled us to evaluate a larger number of cell features, and assess the importance of these features in discerning (the) disease subtype. “Using deep learning, we were able to extract much more information from our images than with conventional image analysis. “We now hope to expand this approach to understand how these cellular mechanisms contribute to other subtypes of Parkinson’s.” Read More Charity boss speaks out over ‘traumatic’ encounter with royal aide Ukraine war’s heaviest fight rages in east - follow live Oxford scientists find no evidence to suggest Facebook not good for wellbeing Many adults would struggle to understand video-sharing platforms’ rules – Ofcom Ozzy Osbourne PlayStation tweet which failed to reveal link to Sony banned

SALT LAKE CITY--(BUSINESS WIRE)--Aug 15, 2023--

Young fan Steven uploads a video vowing not to breathe until MrBeast comments, seeking his attention