Fox News' Charlie Hurt and Rachel Campos-Duffy discuss inauguration fashion for this week's installment of their pop culture round-up on'Fox & Friends Weekend'. First lady Melania Trump will speak on Capitol Hill Monday for the first time since returning to the White House, participating in a roundtable with lawmakers from both chambers of Congress focused on punishing online abuse and revenge pornography. The roundtable discussion will focus on online protection and the "Take it Down Act," a bill introduced in the Senate by Sen. Ted Cruz, R-Texas, and Sen. Amy Klobuchar, D-Minn., that would make it a federal crime to publish, or threaten to publish, nonconsensual intimate imagery, including "digital forgeries" crafted by artificial intelligence. The bill also would require social media companies and similar websites to put procedures in place to remove such content within 48 hours of notice from the victim. First lady Melania Trump will speak on Capitol Hill for the first time since returning to the White House, participating in a roundtable with lawmakers from both chambers of Congress focused on punishing online abuse and revenge pornography.

In this era of rapid technological advancements, communication continues to evolve as new linguistic phenomena emerge. Among these is Arabizi, a hybrid form of Arabic that incorporates Latin characters and numbers to represent the spoken dialects of Arab communities. Arabizi is widely used on social media and allows people to communicate in an informal and dynamic way, but it poses significant challenges for machine translation due to its lack of formal structure and deeply embedded cultural nuances. This case study arises from a growing need to translate Arabizi for gisting purposes. It evaluates the capacity of different LLMs to decode and translate Arabizi, focusing on multiple Arabic dialects that have rarely been studied up until now. Using a combination of human evaluators and automatic metrics, this research project investigates the model's performance in translating Arabizi into both Modern Standard Arabic and English. Key questions explored include which dialects are translated most effectively and whether translations into English surpass those into Arabic.

Sharing retrospectively acquired data is essential for both clinical research and training. Synthetic Data Generation (SDG), using Artificial Intelligence (AI) models, can overcome privacy barriers in sharing clinical data, enabling advancements in medical diagnostics. This study focuses on the clinical evaluation of medical SDG, with a proof-of-concept investigation on diagnosing Inflammatory Bowel Disease (IBD) using Wireless Capsule Endoscopy (WCE) images. The paper contributes by a) presenting a protocol for the systematic evaluation of synthetic images by medical experts and b) applying it to assess TIDE-II, a novel variational autoencoder-based model for high-resolution WCE image synthesis, with a comprehensive qualitative evaluation conducted by 10 international WCE specialists, focusing on image quality, diversity, realism, and clinical decision-making. The results show that TIDE-II generates clinically relevant WCE images, helping to address data scarcity and enhance diagnostic tools. The proposed protocol serves as a reference for future research on medical image-generation techniques.

A UK man who used AI to create child sexual abuse material (CSAM) has been sentenced to 18 years in prison, according to The Guardian. Hugh Nelson, 27, created the images by using photographs of real children, which were then manipulated by AI. Nelson was convicted of 16 child sexual abuse offenses back in August, after a lengthy police investigation. This was the first prosecution of its kind in the UK. Nelson used modeling software called Daz 3D to manufacture the loathsome images.

The introduction of large language models has significantly advanced code generation. However, open-source models often lack the execution capabilities and iterative refinement of advanced systems like the GPT-4 Code Interpreter. To address this, we introduce OpenCodeInterpreter, a family of open-source code systems designed for generating, executing, and iteratively refining code. Supported by Code-Feedback, a dataset featuring 68K multi-turn interactions, OpenCodeInterpreter integrates execution and human feedback for dynamic code refinement. Our comprehensive evaluation of OpenCodeInterpreter across key benchmarks such as HumanEval, MBPP, and their enhanced versions from EvalPlus reveals its exceptional performance. Notably, OpenCodeInterpreter-33B achieves an accuracy of 83.2 (76.4) on the average (and plus versions) of HumanEval and MBPP, closely rivaling GPT-4's 84.2 (76.2) and further elevates to 91.6 (84.6) with synthesized human feedback from GPT-4. OpenCodeInterpreter brings the gap between open-source code generation models and proprietary systems like GPT-4 Code Interpreter.

Fox News Flash top headlines are here. Check out whats clicking on Foxnews.com. A child psychiatrist in Charlotte, N.C., has been sentenced to 40 years in prison for using artificial intelligence (AI) to create child pornography and secretly recording his 15-year-old cousin as she showered, according to the U.S. Attorney's Office in the Western District of North Carolina. David Tatum, 41, created the AI images by modifying pictures of ex-girlfriends with sexually explicit images of minors which he had obtained online. Tatum digitally altered images from a school dance and a photo commemorating the first day of school to make them sexually explicit, prosecutors said.

There's no question that artificial intelligence is changing our lives. A bot that sounds almost human can author your emails, teach you a new language, book your trip,s or even be your friend. Check out direct links to try those out here. One woman I spoke with on my national radio show even married her AI companion. No kidding, she says he's the perfect partner.

Harvey Castro talks about how AI cold be used in cold cases and the symbiotic relationship between AI and a detective. There's no question that artificial intelligence is changing our lives. A bot that sounds almost human can author your emails, teach you a new language, book your trips or even be your friend. Check out direct links to try those out here. One woman I spoke with on my national radio show even married her AI companion.

Watershed is hiring team members on all US and EU time zones, and we're committed to growing a long-term distributed team. We have hub offices in San Francisco, New York and London, and remote team members from Oregon to New Jersey to Ireland. There may be certain jobs that need to be in San Francisco / New York / London or certain locations, and will be specifically noted in the job description or in conversations. What are Watershed's return-to-office plans? We reopened our San Francisco office in June 2021, and treasure the energy and collaboration that comes from working together in person.

The headlines surrounding tech layoffs have been stark: since the start of the year, 421 tech companies have laid off 119,593 staff globally. In the UK, high rates of venture capital funding that fuelled hiring growth during the pandemic have slowed significantly, dropping by 22% in 2022. In turn, this has had a knock-on impact across hiring in many sectors, including the neobanking sector. So what does this mean for tech workers in the UK? While no sector is immune to redundancy, certain jobs are proving more resilient than others.