Telstra CEO Vicki Brady will oversee 209 job cuts, as the telco rolls out AI capabilities and sends some jobs offshore. It comes after a $700m joint venture in 2025 with technology consultancy Accenture. Telstra CEO Vicki Brady will oversee 209 job cuts, as the telco rolls out AI capabilities and sends some jobs offshore. It comes after a $700m joint venture in 2025 with technology consultancy Accenture. Some jobs will be moved offshore in wake of telco's $700m partnership with tech consultancy Accenture More than 200 Telstra jobs are expected to be cut, as the telco rolls out AI capabilities and sends some jobs to India.

President Donald Trump on Tuesday announced a 500 billion joint venture between OpenAI, Softbank, MGX and Oracle to build new datacenters to power the next wave of artificial intelligence (AI) – in an early signal that his Administration would embrace the technology. The plans, which predate the Trump Administration and involve no U.S. government funds, would result in the construction of large datacenters on U.S. soil containing thousands of advanced computer chips required to train new AI systems. "We want to keep it in this country; China's a competitor," Trump said of AI. "I'm going to help a lot through emergency declarations – we have an emergency, we have to get this stuff built." The message echoed recent talking points by the heads of AI companies like Sam Altman of OpenAI, who flanked him during the White House announcement. Altman has argued more vocally in recent months that the U.S. must race to build the energy and datacenter infrastructure in order to create powerful AI before China.

US President Donald Trump has announced a private sector investment to fund infrastructure for artificial intelligence, with the goal of outpacing rival nations in the business-critical technology. Calling it the largest AI infrastructure project in history "by far", Trump said the joint venture called Stargate will build data centres and create more than 100,000 jobs in the United States. These companies, along with other equity backers of Stargate, have committed billions of dollars for immediate investment, with the remaining investment expected to occur over the next four years. Here's what you need to know about what Trump called "a resounding declaration of confidence in America's potential": It's a joint venture between OpenAI, Oracle, SoftBank and MGX that plans to invest up to 500bn over the next four years to build up new data centres needed for the development of AI projects in the US. A first injection of 100bn will start "immediately," according to an OpenAI statement.

A new self-driving car developed by Sony and Honda is set to launch in 2026 that will take aim at Elon Musk's Tesla. The joint venture, Sony Honda Mobility, unveiled Afeela at the Consumer Electronics Show (CES) in Las Vegas, which can cruise through cities without a human at the wheel. The EV is available in two trims: the 89,900 Afeela 1 Origin and the 102,900 Afeela 1 Signature. They feature the same five seats, four doors and high-tech look, including a screen just below the car's hood that displays the weather and tells passers-by to'have a nice day:).' Both cars are equipped with 45 cameras and sensors, allowing vehicles to see their surroundings and collect information for safe driving.

With the increasingly powerful performances and enormous scales of pretrained models, promoting parameter efficiency in fine-tuning has become a crucial need for effective and efficient adaptation to various downstream tasks. One representative line of fine-tuning methods is Orthogonal Fine-tuning (OFT), which rigorously preserves the angular distances within the parameter space to preserve the pretrained knowledge. Despite the empirical effectiveness, OFT still suffers low parameter efficiency at $\mathcal{O}(d^2)$ and limited capability of downstream adaptation. Inspired by Givens rotation, in this paper, we proposed quasi-Givens Orthogonal Fine-Tuning (qGOFT) to address the problems. We first use $\mathcal{O}(d)$ Givens rotations to accomplish arbitrary orthogonal transformation in $SO(d)$ with provable equivalence, reducing parameter complexity from $\mathcal{O}(d^2)$ to $\mathcal{O}(d)$. Then we introduce flexible norm and relative angular adjustments under soft orthogonality regularization to enhance the adaptation capability of downstream semantic deviations. Extensive experiments on various tasks and pretrained models validate the effectiveness of our methods.

Reducing wealth inequality and disparity is a global challenge. The economic system is mainly divided into (1) gift and reciprocity, (2) power and redistribution, (3) market exchange, and (4) mutual aid without reciprocal obligations. The current inequality stems from a capitalist economy consisting of (2) and (3). To sublimate (1), which is the human economy, to (4), the concept of a "mixbiotic society" has been proposed in the philosophical realm. This is a society in which free and diverse individuals, "I," mix with each other, recognize their respective "fundamental incapability" and sublimate them into "WE" solidarity. The economy in this society must have moral responsibility as a coadventurer and consideration for vulnerability to risk. Therefore, I focus on two factors of mind perception: moral responsibility and risk vulnerability, and propose a novel model of wealth distribution following an econophysical approach. Specifically, I developed a joint-venture model, a redistribution model in the joint-venture model, and a "WE economy" model. A simulation comparison of a combination of the joint ventures and redistribution with the WE economies reveals that WE economies are effective in reducing inequality and resilient in normalizing wealth distribution as advantages, and susceptible to free riders as disadvantages. However, this disadvantage can be compensated for by fostering consensus and fellowship, and by complementing it with joint ventures. This study essentially presents the effectiveness of moral responsibility, the complementarity between the WE economy and the joint economy, and the direction of the economy toward reducing inequality. Future challenges are to develop the WE economy model based on real economic analysis and psychology, as well as to promote WE economy fieldwork for worker coops and platform cooperatives to realize a desirable mixbiotic society.

Volkswagen will invest €2.4 billion euros ($2.3 billion) to set up an autonomous driving joint venture with China's Horizon Robotics Inc. to strengthen the automaker's tech presence in its biggest market. The joint venture "will enable us to tailor our products and services even faster and more consistently to the needs of our Chinese customers," said Ralf Brandstaetter, who runs VW's China business. Teaming up with Horizon will help "drive the repositioning of our China business." VW is under pressure to improve its offering in China, its biggest market with roughly 40% of deliveries. Sales last year slid, outpacing an overall drop as the company struggled to keep up with local consumer tastes, particularly on digital offerings with many VW models exasperating drivers with frozen screens and complex functionality.

These same abilities humans are now trying to emulate with machines, and they are in fact the core components of Artificial Intelligence (AI), one of the most important technical developments of our era. This technology is transforming knowledge, work, governance and the core of our daily lives, and as the sophistication of these systems increases, especially with the advent of Deep Neural Networks (DNNs), I would argue the human understanding of these systems is decreasing. A need is rising to bring to this field the HCI (Human Computer Interaction) human centered design approach, and within this paper I will suggest the possibilities how art and creative thought together with HCI expertise, can help broaden the current spectrum of AI, it's accessibility and possibly be a joint venture to imagine what AI could become. As humans started developing their ability of self-introspection around 40 thousand years ago, they have used art to communicate, evoke emotions, recall past events and communicate. These cognitive abilities have helped humans survive and evolve as a species, putting into use tools of memory, language, understanding, reasoning, learning, pattern recognition and expression.

In the upcoming age of AI, two very different classes of companies appear well-positioned to leverage AI's capabilities: startup ventures and multi-billion-dollar giant corporations. Promising AI startups are being launched at an increasing pace in areas like health care, finance, retail, media and cross-industry tech, to name a few. And alongside tech giants like Google or Microsoft, traditional large corporations are employing AI to digitalize their business model and processes. Examples of AI-driven automation and augmentation range from automated customer loan approval and smart infotainment systems at car manufacturer Daimler to predictive maintenance at oil and gas behemoth Shell and AI-assisted medical image reading at industrial manufacturer Siemens. Corporate AI innovation is fairly concentrated with the top-10 patenting firms in the world accounting for more than 15% of AI patents in the period 2011 to 2016.

Some improvements may seem mundane, such as automating claims processing or using chatbots (virtual agents) to handle interactions with policyholders. Yet the financial opportunities for health insurers are far from humdrum. A 2018 Accenture analysis estimated insurers can save $7 billion in 18 months by using AI to automate core administrative functions -- the equivalent of $1.5 million in operating income for every 100 full-time employees. Then there are the future possibilities of AI, such as orchestrating a seamless patient experience -- from selecting specialists within an insurer's network to prescribing of drugs upon discharge. At Blue Health Intelligence (BHI), which provides clinical data expertise for Blues plans around the United States, programmers attacked the problem of high-cost claimants, defined as members having annual costs surpassing $250,000.