Saudi Arabia's NEOM Company has made a significant move into the Web3 space by investing $50 million into Animoca Brands, a leader in Web3 gaming. This aligns with the Saudi Vision 2030, aiming to diversify the nation's economy away from oil reliance. This is part of a wider $37 billion initiative to boost the gaming sector. NEOM is a bold project to build a new city named The Line. It's a linear city, extending 170 kilometers across the NEOM area in northwest Saudi Arabia. The plan is to create a modern city for nine million residents, integrating advanced industries and housing solutions. The investment in Animoca Brands is seen as a step towards modernization. It signals a commitment to developing the Web3 ecosystem, which bridges the current internet (Web2) and the decentralized web (Web3). The focus is on creating enjoyable games that leverage both Web3 and Web2 technologies.

NEOM is envisioned as a beacon of human progress, a city built from scratch that serves as a hub for innovation and entrepreneurship. It's designed to be a place where business flourishes alongside environmental conservation, promising an exceptional quality of life.Yat Siu of Animoca Brands commented on the partnership with NEOM, recognizing the project's ambition to integrate innovative technologies like blockchain. He sees NEOM as potentially the first region to fully embrace the capabilities of blockchain. The NEOM Investment Fund's strategy includes purchasing convertible notes and shares in Animoca Brands. This investment is meant to enhance Animoca's ability to grow the Web3 ecosystem, which includes the decentralized internet based on blockchain technology.

Forrester Research's latest 2024 predictions report emerges as a vital beacon, illuminating the path for AI's calculated expansion while simultaneously alerting business magnates to the burgeoning "shadow usage" phenomenon. This refers to a trend where employees, in their quest for enhanced productivity, are increasingly depending on personal AI tools, bypassing official channels. The 38-page dossier forecasts a tripling of AI platform budgets come 2024, as corporations pour funds into scalable systems designed for crafting, deploying, and overseeing AI models. Yet, Forrester's analysis suggests that such investments may not fully quench the thirst for AI-driven efficiency among the workforce.

Indeed, the report projects that a staggering 60% of employees will gravitate towards self-sourced AI tools for work-related tasks, thereby ushering in a new era of regulatory and compliance complexities. In response, a notable 85% of companies are predicted to broaden their AI arsenals, embracing open-source frameworks like GPT-J and BERT, stepping beyond the conventional bounds of widely-used proprietary models such as ChatGPT. Concurrently, a proactive 40% of enterprises are anticipated to fortify their AI governance, preemptively bracing for the impending wave of regulations from international powerhouses like the E.U., U.S., and China.

In a particularly innovative vein, Forrester postulates that a prominent insurer will unveil a novel "AI hallucination insurance" in 2024. This pioneering insurance variant is tailored to mitigate the repercussions of AI inaccuracies, specifically covering the damages attributable to the AI's erroneous outputs or "hallucinations" as they become more widespread in use. Forrester's 2024 Predictions Report caps off a tumultuous year that witnessed the meteoric rise of generative AI's popularity among both consumers and employees alike.

A recent survey by the Arab American Institute (AAI) unveils a substantial dip in support for President Joe Biden among Arab American constituents, predominantly due to his staunch backing of Israel amid the escalating conflict. The data illustrates a plummet from 59% in 2020 to 17% currently, marking an unprecedented shift within this demographic. Remarkably, this is the first instance in the AAI's 26-year history of polling where the majority of Arab Americans don't favor the Democratic party. The analysis further underscores a growing affinity towards the Republican party, with 40% expressing intent to vote for Donald Trump in the upcoming 2024 elections, a five percentage-point uptick from 2020. This trend sets a new record for Arab American affiliation with the Republican party, signaling a significant political reorientation. James Zogby, the president and co-founder of AAI, stressed the importance of recognizing this shift, articulating the necessity of understanding the community’s stance and communicating the potential risks to the administration.

This political realignment could pose challenges for Biden in the 2024 elections, especially in pivotal states like Michigan with substantial Arab American populations. The survey also brings to light a 66% disapproval among Arab Americans regarding Biden's handling of the conflict, mirroring a broader discontent within the community. Additionally, a substantial majority (68%) advocate for halting military aid to Israel, urging the U.S. to leverage its influence for ceasefire negotiations instead. The findings also unveil a rising tide of discrimination faced by Arab Americans, particularly the youth between 18 to 34 years of age. A significant number reported experiencing bias based on their ethnicity or national origin, heightening fears within the community. The ongoing violence in the Middle East resonates deeply, with eight out of 10 respondents expressing anxiety over escalating anti-Arab bigotry and two-thirds apprehensive about rising antisemitism in the U.S.

Amid the recent turmoil in Palestine and Israel, half of the Arab American respondents expressed concerns about encountering discrimination in va

MIT's deep learning system, Air-Guardian, is a revolutionary step towards enhancing flight safety by working alongside airplane pilots. The system aims to act when a pilot overlooks a critical situation, thereby preventing potential incidents from occurring. Air-Guardian's core is powered by a unique deep learning system called Liquid Neural Networks (LNN) developed by the MIT Computer Science and Artificial Intelligence Lab (CSAIL). LNNs have already proven their effectiveness in various fields, especially those requiring compute-efficient and explainable AI systems, presenting a promising alternative to popular deep learning models. The operation of Air-Guardian involves a meticulous method to augment flight safety by monitoring both the human pilot's attention and the AI's focus. When a discrepancy arises, where a human pilot misses a critical aspect, the AI system intervenes, taking control of that particular flight element. This innovative human-in-the-loop system is engineered to retain the pilot's control while allowing the AI to cover the lapses. The overarching idea is to develop systems capable of collaborating with humans, aiding them in challenging situations and letting them continue with tasks they excel at.

In scenarios where an airplane is flying close to the ground, and gravitational force becomes unpredictable, Air-Guardian is designed to take over to avert incidents. Similarly, when a pilot is inundated with excessive information displayed on the screens, the AI system filters through the data, emphasizing the crucial information that the pilot might have missed. This level of intervention is particularly vital when a pilot may lose consciousness due to unforeseen circumstances or becomes overwhelmed. A distinctive feature of Air-Guardian is its use of eye-tracking technology to monitor human attention, while employing heatmaps to showcase where the AI system's focus lies. When a divergence between the human pilot's attention and the AI's focus is detected, Air-Guardian steps in to evaluate whether the AI has pinpointed an issue requiring immediate attention. This mechanism ensures that critical issues are not overlooked, and timely interventions are made to maintain flight safety.