Westminster needs to wean itself off X, a close ally of Keir Starmer has said, as he suggested that Elon Musk was deliberately manipulating its algorithm to boost his own political and personal interests. Josh Simons, the MP for Makerfield and former head of the Starmerite thinktank Labour Together, said he believed the British political class was dangerously addicted to the platform, formerly known as Twitter. Simons maintains an active X profile, but says he is keen not to "overuse" it. His comments reflect a growing concern among Labour MPs about the impact of X after the summer's riots, during which misinformation spread rapidly on the platform. But they also threaten to exacerbate tensions between the government and the company, with Musk continuing to attack Starmer over ministers' response to the violence.

Predicting traffic incident risks at granular spatiotemporal levels is challenging. The datasets predominantly feature zero values, indicating no incidents, with sporadic high-risk values for severe incidents. Notably, a majority of current models, especially deep learning methods, focus solely on estimating risk values, overlooking the uncertainties arising from the inherently unpredictable nature of incidents. To tackle this challenge, we introduce the Spatiotemporal Zero-Inflated Tweedie Graph Neural Networks (STZITD-GNNs). Our model merges the reliability of traditional statistical models with the flexibility of graph neural networks, aiming to precisely quantify uncertainties associated with road-level traffic incident risks. This model strategically employs a compound model from the Tweedie family, as a Poisson distribution to model risk frequency and a Gamma distribution to account for incident severity. Furthermore, a zero-inflated component helps to identify the non-incident risk scenarios. As a result, the STZITD-GNNs effectively capture the dataset's skewed distribution, placing emphasis on infrequent but impactful severe incidents. Empirical tests using real-world traffic data from London, UK, demonstrate that our model excels beyond current benchmarks. The forte of STZITD-GNN resides not only in its accuracy but also in its adeptness at curtailing uncertainties, delivering robust predictions over short (7 days) and extended (14 days) timeframes.

In the same way as you upgrade your iPhone, we need to upgrade Britain." Labour MP Darren Jones believes artificial intelligence will bring an economic change on the scale of the industrial revolution, which politicians must be ready to shape. As chair of the business and trade select committee, the ambitious 36-year-old backbencher, who represents Bristol North West, has built a reputation for himself in Westminster as a tough interrogator. With speculation raging last week about the future of Thames Water, he took to the airwaves to criticise the way the heavily indebted sector has been regulated, saying he was "increasingly sick" of its failures. However, Jones is at his most animated when talking about AI. He has clashed with company bosses over their use of technology to monitor and control staff – including at Amazon and Royal Mail. But he is an evangelist for the upsides of innovation, including the arrival of large language models (LLMs) such as the hit dialogue-based AI software ChatGPT. "It's really important that we flip this debate.

'The Five' co-hosts discuss Elon Musk's warning to Tucker Carlson about artificial intelligence's potential to destroy civilization. A California lawmaker introduced legislation that would criminalize using artificial intelligence to create pornography while using a person's likeness without consent. Assembly member Tri Ta, a Republican representing Westminster, California, introduced the legislation in February that aims to punish people up to $1,000, or a year in jail, if they distribute "deepfake" porn depicting an individual without their consent. "This bill would make it a crime for a person to knowingly, and without the consent of the depicted individual, distribute to, exhibit to, or exchange with others, or offer to distribute to, exhibit to, or exchange with others audio or visual media that falsely depicts an individual engaging in sexual conduct that would appear to a reasonable observer to be an authentic record of the conduct. By creating a new crime, this bill would impose a state-mandated local program," a legislative council's digest of the bill states.

In the global AI investment, innovation and implementation stakes, the UK lies in a creditable third place. Trailing the US and second-placed China, it holds a slight lead over Canada and South Korea, according to the Global AI Index published in December 2020 by Tortoise Media. The moral of Aesop's most famous fable involving a tortoise may be'more haste, less speed', but Westminster is seeking to hare ahead in this race over the coming decade. Its national AI strategy, published in September 2021, is a 10-year plan to make the country an "AI superpower". But what does that mean exactly?

The summer recess is over and MPs are returning to Westminster with very full inboxes. As Parliament throws its doors open for the new term, what challenges lie ahead for the government in the coming months? The challenges of posed by the coronavirus pandemic will be forefront of ministers' minds: how to encourage a return to something approaching normal while keeping the virus under control. As the holiday season winds up, many in the Conservative party want to see more done to encourage people back to offices in England - and ministers are urging people working from home to speak to their employers about returning to workplaces where it's safe to do so. Health Committee chair Jeremy Hunt has warned that the situation coming into winter is "potentially very perilous".

At the end of the Course you will understand the basics of Artificial Neural Networks. The course will have step by step guidance for Artificial Neural network development in Python. I have 9 years of work experience as a Researcher, Senior Lecturer, Project Supervisor & Engineer. I have completed a MSc in Artificial Intelligence.

The public's concerns about accuracy, cyber-security and the inability of AI-led chatbots to sympathise could be in the way of successfully introducing artificial intelligence into healthcare, new research led by the University of Westminster has found. The study involving the University of Westminster, the University College London and the University of Southampton is the first to look at public attitudes towards AI in healthcare, and it comes at a crucial time following the £250 million funding announcement for AI in the NHS. This new research developed a concept of'AI hesitancy' which shows that a large proportion of the public is reluctant to use AI-led services for their healthcare, particularly for more serious illnesses. However, the newly announced NHS funding does not consider public acceptance of this technology. Therefore, the researchers warn that increased focus on AI in the NHS can increase health inequalities and may be detrimental to public health in the UK.

Donald Trump wants Russian President Vladimir Putin to visit the US this autumn. The two men met at the beginning of this week in Finland, and despite some significant fall-out, planning is under way for a second get-together. Moscow hasn't reacted publicly yet to the invitation. "OK... that's going to be special," laughed US Director of National Intelligence Dan Coats when told about it. Well, the US intelligence services were at the centre of the aforementioned fall-out, after the president seemed to reject their view on Russian meddling in the 2016 US election and side with Moscow instead.

Eyewitness accounts may be far more reliable when conducted by a virtual police officer, rather than the real thing. Witnesses of a mock car theft provided as much as 60 percent more information when interviewed in an avatar-to-avatar context compared to face-to-face interviews. Giving testimony to the police can be stressful and intimidating. Previous studies have shown that multiple factors - including an unfamiliar setting, the police officer, or the desire to'perform well' - can decrease the accuracy of a witness' testimony. 'Witnesses can become distracted from the task of remembering during an interview because they are attending to the social behavior of the interviewer, such as facial expressions.