Daughter of man infamously shot by Dick Cheney gives VERY sarcastic tribute to the Daily Mail after former VP died aged 84... and reveals what really happened Why Tuesday's races aren't as close as you think: White House analyst CRAIG KESHISHIAN reveals what the polls always miss Dick Cheney dead: Vice President who served with George W. Bush and took leading role in'war on terror' dies at 84 It's the trendy new diagnosis for everything from fatigue to brain fog... but here's the truth about your gut problem - and how to fix it: DR EMILY LEEMING How Charles reacted when'difficult' William asked if he could do fewer engagements: Biographer ROBERT JOBSON reveals the'tension', secrets of Kate's family life - and how couple are making Prince George'strong' Sydney Sweeney sparks outrage after starring on GQ's Men Of The Year cover... as she breaks silence on American Eagle ad Rapper Young Bleed dead at 51 after suffering brain aneurysm as son reflects on'legend' father'She used it to freshen up... it killed her': My wife died of cancer at 63. She never smoked or drank. My ex is the international fugitive Democrat who's fled to Europe with our nine-year-old son. Here are the disgraceful secrets she'd hate the world to know Woke Gen-Z's revenge: Poll reveals staggering number of under-30s who back Mamdani while their parents are terrified of a return to 1980s New York Erika Kirk reveals her 3-year-old daughter's heartbreaking question in first interview since husband Charlie's assassination Father reveals'radical faith' spiral of American son killed in hail of arrows by reclusive tribe as new believers consider following him to isolated island Revealed: Football manager who died mid-match, leaving players in disbelief on the pitch, 'complained about fish he had eaten' hours before heart attack - as devastated star speaks out Dallas Cowboys agree huge trade for rival's defensive captain just hours before the NFL deadline US to test nuclear missile TODAY to show'readiness' amid arms race fears Warren Buffett's $6billion stock exit is his loudest warning yet AMANDA PLATELL: Fergie's delusions have reached a new low. I can't believe Beatrice and Eugenie are egging her on.

London-listed miner Anglo American and Canada's Teck Resources plan to merge, marking the sector's second-biggest mergers and acquisitions deal ever and forging a new global copper-focused heavyweight. Under the proposed deal, which will require regulatory approvals and was announced on Tuesday, Anglo American shareholders will own 62.4 percent of the new company, Anglo Teck, while shareholders in Teck would hold 37.6 percent. The deal to form the world's fifth-largest copper company is also a big bet on copper by Anglo. Glencore's $90bn merger with Xstrata in 2013 remains the largest mining deal in history. Copper, used in the power and construction sectors, is set to benefit from burgeoning demand spurred by electric vehicles and artificial intelligence.

We study the implicit bias of optimization in robust empirical risk minimization (robust ERM) and its connection with robust generalization. In classification settings under adversarial perturbations with linear models, we study what type of regularization should ideally be applied for a given perturbation set to improve (robust) generalization. We then show that the implicit bias of optimization in robust ERM can significantly affect the robustness of the model and identify two ways this can happen; either through the optimization algorithm or the architecture. We verify our predictions in simulations with synthetic data and experimentally study the importance of implicit bias in robust ERM with deep neural networks.

Federated learning is a distributed learning paradigm where multiple agents, each only with access to local data, jointly learn a global model. There has recently been an explosion of research aiming not only to improve the accuracy rates of federated learning, but also provide certain guarantees around social good properties such as total error. One branch of this research has taken a game-theoretic approach, and in particular, prior work has viewed federated learning as a hedonic game, where error-minimizing players arrange themselves into federating coalitions. This past work proves the existence of stable coalition partitions, but leaves open a wide range of questions, including how far from optimal these stable solutions are. In this work, we motivate and define a notion of optimality given by the average error rates among federating agents (players).

Having your favourite TV show or movie interrupted by adverts is already frustrating, but things could soon be getting worse for Netflix users. At its'Upfront' event on Wednesday, the streaming giant revealed that it would be incorporating adverts made with'generative AI'. Arriving in 2026, these AI-generated adverts will begin to appear not only during mid-content breaks but also when users press pause. And the only way to get rid of these annoying intrusions will be to pay for the more expensive ad-free subscriptions. But in a further twist, Netflix says AI would be used'instantly marry advertisers' ads with the worlds of our shows'.

Aspect-based sentiment analysis (ABSA) is a crucial task in information extraction and sentiment analysis, aiming to identify aspects with associated sentiment elements in text. However, existing ABSA datasets are predominantly English-centric, limiting the scope for multilingual evaluation and research. To bridge this gap, we present M-ABSA, a comprehensive dataset spanning 7 domains and 21 languages, making it the most extensive multilingual parallel dataset for ABSA to date. Our primary focus is on triplet extraction, which involves identifying aspect terms, aspect categories, and sentiment polarities. The dataset is constructed through an automatic translation process with human review to ensure quality. We perform extensive experiments using various baselines to assess performance and compatibility on M-ABSA. Our empirical findings highlight that the dataset enables diverse evaluation tasks, such as multilingual and multi-domain transfer learning, and large language model evaluation, underscoring its inclusivity and its potential to drive advancements in multilingual ABSA research.

Measuring sales performance is a crucial aspect of running a successful business. Accurately tracking and analyzing sales data helps companies understand their strengths and weaknesses, perform forecasts, identify trends, and make informed decisions that drive growth. In this article, I will illuminate how some simple statistical models can be used for measuring sales performance. Whether it is a small or enterprise sales team, simple quantitative techniques can be used to provide valuable sales insights or draw attention to areas of need. After reading this article, you will see various examples how simple models are applied in real life scenarios. Note: All the images in the article were generated by Artificial Intelligence using Stable Diffusion 2.x.

Most marketers know that good marketing software is the most important tool in any successful campaign. However, adding an extra dimension to the strategy and using AI-powered marketing tools can make your job easier and better. In recent years, many new startups have switched to AI and machine learning to offer better products aligned with the AI fever that has beaten all of us. And thanks to these advancements and the emergence of startups providing AI solutions, the way we work is fundamentally changing. Also, customers' needs are constantly changing. Digital marketers need to be on the cutting edge so they can effectively tackle new tasks. If you're thinking of starting a business, do it in 2023.

This AI allows you to send personalized messages to all your LinkedIn contacts. Create a CSV with a list of people you are interested in, the AI checks their latest posts or the company they work for and creates a specific message for each user answering their comment. The personalization is very good, I mean it does not use standard phrases, but rather responds exactly on the topic being discussed. You can also customize emails, but maybe it's better to use ChatGPT for that. You can use a temporary mail.

The recent flooding of social media feeds with AI-generated "portraits" derived from databases of artists' work has renewed conversation over data ownership and the potential power AI has to supplant livelihoods in the future. The 22 million individuals and counting who have already handed over their images to the Lensa application might be fine to receive the myriad of AI-illustrated images in exchange for their data. But the fundamental rights, principles, and freedoms users are giving up during this exchange remains largely unchecked. In Web3 technology circles, much promises have been made of decentralized technologies to open up the possibility for individual ownership and monetization of data, returning power to "creators." This reflects the political ethos held by Blockchain proponents like Etherum co-founder Joe Lubin, who ostensibly seek to supplant the existing power structures of finance through "permissionless" consensus-based transaction data structures.