Anduril Industries and OpenAI have announced a partnership to advance AI applications for US national security. The collaboration will focus on enhancing counter-unmanned aircraft systems (CUAS), crucial for detecting and neutralising airborne drone threats.
By leveraging Anduril’s extensive CUAS data, AI models will be trained to respond to aerial threats in real time. OpenAI’s CEO, Sam Altman, highlighted the goal of safeguarding military personnel through these advanced AI solutions.
This partnership reflects the escalating global competition in AI-powered autonomous defence technologies, as nations like the United States and China race to innovate in automated military systems. Founded in 2017, Anduril specialises in autonomous systems, including drones and other tactical assets.
Cleerly, an AI-driven cardiovascular imaging startup, has raised $106 million in a Series C extension round led by Insight Partners. The company, founded by cardiologist James Min, uses advanced software to analyze CT scans and detect early-stage coronary artery disease before symptoms appear. This innovative approach aims to improve preventive care for heart conditions, which remain the leading cause of death in the US.
The technology has already received FDA clearance for diagnosing symptomatic patients and recently gained Medicare approval for its plaque analysis test. Cleerly’s software provides a less invasive and more accurate alternative to traditional diagnostics like stress tests or angiograms. With a compounded annual growth rate exceeding 100% over the past four years, the company is poised to expand further as health insurers increasingly cover its tests.
The latest funding will support Cleerly’s ongoing multi-site clinical trials and future growth. Insight Partners’ involvement highlights the growing confidence in AI-driven solutions for healthcare. While facing competition from companies like HeartFlow and Elucid, Cleerly’s goal of screening the global population for heart disease positions it as a potential leader in this emerging market.
Apple and Baidu are collaborating to bring AI features to iPhones in China, leveraging Baidu’s Ernie 4.0 language model. However, technical challenges, including the AI’s response accuracy and understanding of prompts, have slowed progress.
Sales pressures in China are mounting for Apple, with its market share slipping and Huawei reporting significant growth. Criticism of the iPhone 16‘s lack of AI features has further strained Apple’s competitive position in the region.
Privacy policies also pose hurdles, as Apple’s restrictions prevent Baidu from collecting data from AI interactions, potentially limiting the effectiveness of these features. Siri is expected to incorporate Baidu’s AI models.
Citigroup has launched new AI tools to enhance workplace efficiency for 140,000 employees across eight countries. The tools, named Citi Assist and Citi Stylus, aim to simplify tasks such as navigating internal policies and analysing multiple documents. Initially available in countries including the US, UK, and India, the tools will be gradually introduced in more markets.
Citi Assist functions like a highly knowledgeable colleague, guiding users through HR, compliance, finance, and risk procedures. Citi Stylus, on the other hand, allows employees to summarise, compare, or search through multiple documents simultaneously, improving productivity and workflow.
Tim Ryan, Citigroup’s Head of Technology and Business Enablement, explained that staff can propose new uses for the tools, ensuring they evolve alongside employees’ needs. While separate from the bank’s broader efforts to enhance data management, the AI tools are expected to contribute to overall operational improvement.
Chief Technology Officer David Griffiths emphasised that the AI rollout aligns with Citigroup’s commitment to innovation and efficiency in a rapidly evolving financial landscape.
With organisations facing an average of 1,300 cyberattacks per week, Axiado is stepping up with a novel defence: a specialised security chip designed to protect digital infrastructure. Founded in 2017, the Silicon Valley-based startup recently secured $60M in Series C funding led by Maverick Silicon, with participation from Samsung Catalyst Fund and other investors. This brings Axiado’s total funding to $140M.
Axiado’s chip defends against boot-level and runtime security threats, ensuring the integrity of devices from data centres to 5G base stations. It uses root-of-trust technology to prevent hardware tampering and leverages AI-powered analytics to detect malicious data patterns. The company’s chip is positioned as a complement to existing software-based cybersecurity measures, acting as a last line of defence against sophisticated attacks.
The new funds will support Axiado’s go-to-market efforts and help transition its products into mass production by 2025. CEO Gopi Sirineni highlights the growing need for hardware-based security solutions, particularly as the stakes rise in the fight against cybercrime. With partnerships like the one with Jabil to develop server cybersecurity solutions, Axiado is set to expand its reach while competing with industry heavyweights and open-source projects such as Google’s OpenTitan.
French electrical firm Schneider Electric has teamed up with Nvidia to develop cutting-edge cooling systems for AI-focused data centres. These designs will cater to Nvidia’s powerful AI servers, which feature 72 advanced chips and are set to debut next year.
The energy-intensive servers, consuming up to 132 kilowatts per rack, necessitate liquid cooling technology. Schneider‘s scalable solutions will support various configurations for cloud computing firms and data centre customers, enhancing adaptability and efficiency in AI infrastructure.
Schneider’s push into AI data centres follows a $3 billion deal with Compass Datacenters in 2023, underlining its commitment to innovative technologies. Nvidia‘s switch to liquid cooling has spurred significant developments in data centre construction and upgrades, driving collaboration with industry leaders.
European Union antitrust regulators are investigating whether Nvidia’s proposed $700 million acquisition of Run:ai could strengthen its dominant position in graphics processing units (GPUs). Nvidia currently holds 84% of the GPU market, far outpacing competitors Intel and AMD. Regulators are questioning Nvidia customers about potential bundling practices that might offer discounts for purchasing both its GPUs and software.
The European Commission is exploring whether such bundling provides Nvidia with a competitive edge and whether these practices could harm market competition. The Commission has set a preliminary review deadline of 20 December. Customers have also been asked how an open-source approach to Run:ai’s operations might impact their businesses. Nvidia has yet to comment on the inquiry.
GPUs are critical for data centres, gaming, and cryptocurrency mining, making this deal significant for the technology sector. The investigation could influence how Nvidia integrates Run:ai into its portfolio.
Meta Platforms has reported that generative AI had limited influence on misinformation campaigns across its platforms in 2023. According to Nick Clegg, Meta‘s president of global affairs, coordinated networks spreading propaganda struggled to gain traction on Facebook and Instagram, and AI-generated misinformation was promptly flagged or removed.
Clegg noted, however, that some of these operations have migrated to other platforms or standalone websites with fewer moderation systems. Meta dismantled around 20 covert influence campaigns this year. The company aims to refine content moderation while maintaining free expression.
Meta also reflected on its overly strict moderation during the COVID-19 pandemic, with CEO Mark Zuckerberg expressing regret over certain decisions influenced by external pressure. Looking forward, Zuckerberg intends to engage actively in policy debates on AI under President-elect Donald Trump‘s administration, underscoring AI’s critical role in US technological leadership.
Amazon Web Services (AWS) has revealed advanced data centre servers powered by its in-house Trainium2 AI chips, marking a significant step in its efforts to rival Nvidia in the AI hardware market. The servers will form the backbone of a vast supercomputer designed to handle complex AI workloads, incorporating hundreds of thousands of Trainium2 chips. AI startup Anthropic will be the first to utilise the new system, highlighting its capabilities for AI research and deployment.
Apple has also confirmed its adoption of Trainium2 chips, underscoring the growing appeal of Amazon’s AI hardware in the competitive tech landscape. AWS CEO Matt Garman added that the Trainium3 chip, the next evolution in the series, will debut in 2024. This aligns with Amazon’s broader strategy to dominate AI technology, offering cutting-edge solutions for both startups and major corporations.
The announcement comes as Amazon intensifies efforts to challenge Nvidia, currently a leader in AI chip manufacturing. AWS‘s growing presence in the sector aims to meet surging demand for AI processing power while providing alternatives to established providers. These advancements not only strengthen Amazon’s position in AI technology but also attract major industry players like Apple, which is leveraging the chips to enhance its data operations.
Salesforce shares soared to a record high of $368.7 on Wednesday, climbing 11% after surpassing quarterly sales estimates and offering an optimistic outlook for its AI-driven products. The company’s newly launched Agentforce platform, designed to autonomously handle tasks, has become a key driver of this growth, with Salesforce banking on its potential to transform enterprise operations.
In a post-earnings call, executives highlighted Agentforce’s initial success, noting 200 deals closed since its late October release. Analysts expressed confidence in its long-term potential, predicting significant gains by 2026. The positive results prompted at least 20 analysts to raise their price targets, with the new median estimate sitting at $380—indicating a further 15% potential upside.
Salesforce’s market valuation surged by over $35 billion, reaching $316.85 billion. Third-quarter revenue grew by 8% to $9.44 billion, surpassing expectations. The momentum also lifted other US cloud companies, including Oracle, ServiceNow, Datadog, and Snowflake, which posted gains of 3% to 4%.
The company now forecasts fiscal year 2025 revenue of $37.8 billion to $38 billion. Analysts remain optimistic about Salesforce’s strategic push into AI and the revival of enterprise spending, positioning the firm for continued success heading into 2026.
