US

UAE partnership boosts NeOnc’s clinical trial programme

Biotech firm NeOnc Technologies has gained rapid attention after going public in March 2025 and joining the Russell Microcap Index just months later. The company focuses on intranasal drug delivery for brain cancer, allowing patients to administer treatment at home and bypass the blood-brain barrier.

NeOnc’s lead treatment is in Phase 2A trials for glioblastoma patients and is already showing extended survival times with minimal side effects. Backed by a partnership with USC’s Keck Medical School, the company is also expanding clinical trials to the Middle East and North Africa under US FDA standards.

A $50 million investment deal with a UAE-based firm is helping fund this expansion, including trials run by Cleveland Clinic through a regional partnership. The trials are expected to be fully enrolled by September, with positive preliminary data already being reported.

AI and quantum computing are central to NeOnc’s strategy, particularly in reducing risk and cost in trial design and drug development. As a pre-revenue biotech, the company is betting that innovation and global collaboration will carry it to the next stage of growth.

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Allianz breach affects most US customers

Allianz Life has confirmed a major cyber breach that exposed sensitive data from most of its 1.4 million customers in North America.

The attack was traced back to 16 July, when a threat actor accessed a third-party cloud system using social engineering tactics.

The cybersecurity breach affected a customer relationship management platform but did not compromise the company’s core network or policy systems.

Allianz Life acted swiftly by notifying the FBI and other regulators, including the attorney general’s office in Maine.

Those impacted are offered two years of credit monitoring and identity theft protection. The company has begun contacting affected individuals but declined to reveal the full number involved due to an ongoing investigation.

No other Allianz subsidiaries were affected by the breach. Allianz Life employs around 2,000 staff in the US and remains a key player within the global insurer’s North American operations.

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Huawei challenges Nvidia with AI super server

Huawei has unveiled its most powerful AI server, the CloudMatrix 384, to challenge Nvidia’s grip on the high-performance AI infrastructure market.

The system, launched at the World AI Conference in Shanghai, uses 384 Ascend 910C chips, significantly outnumbering Nvidia’s 72 B200 GPUs in the GB200 NVL72.

Although Nvidia’s GPUs remain more powerful individually, Huawei’s design relies on stacking and high-speed chip interconnection to boost overall performance.

The company claims the CloudMatrix 384 can deliver 300 petaflops of computing power, well above Nvidia’s 180 petaflops, though it consumes nearly four times more energy.

The US recently reversed its ban on Nvidia’s H20 chip exports to China, seeking to curb Huawei’s momentum. However, ongoing reports of smuggled Nvidia GPUs raise doubts over the effectiveness of these restrictions.

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The US push for AI dominance through openness

In a bold move to maintain its edge in the global AI race—especially against China—the United States has unveiled a sweeping AI Action Plan with 103 recommendations. At its core lies an intriguing paradox: the push for open-source AI, typically associated with collaboration and transparency, is now being positioned as a strategic weapon.

As Jovan Kurbalija points out, this plan marks a turning point where open-weight models are framed not just as tools of innovation, but as instruments of geopolitical influence, with the US aiming to seed the global AI ecosystem with American-built systems rooted in ‘national values.’

The plan champions Silicon Valley by curbing regulations, limiting federal scrutiny, and shielding tech giants from legal liability—potentially reinforcing monopolies. It also underlines a national security-first mentality, urging aggressive safeguards against foreign misuse of AI, cyber threats, and misinformation. Notably, it proposes DARPA-led initiatives to unravel the inner workings of large language models, acknowledging that even their creators often can’t fully explain how these systems function.

Internationally, the plan takes a competitive, rather than cooperative, stance. Allies are expected to align with US export controls and values, while multilateral forums like the UN and OECD are dismissed as bureaucratic and misaligned. That bifurcation risks alienating global partners—particularly the EU, which favours heavy AI regulation—while increasing pressure on countries like India and Japan to choose sides in the US–China tech rivalry.

Despite its combative framing, the strategy also nods to inclusion and workforce development, calling for tax-free employer-sponsored AI training, investment in apprenticeships, and growing military academic hubs. Still, as Kurbalija warns, the promise of AI openness may clash with the plan’s underlying nationalistic thrust—raising questions about whether it truly aims to democratise AI, or merely dominate it.

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LegalOn raises 50 million to expand AI legal tools

LegalOn Technologies has secured 50 million dollars in Series E funding to expand its AI-powered contract review platform.

The Japanese startup, backed by SoftBank and Goldman Sachs, aims to streamline legal work by reducing the time spent reviewing and managing documents.

Its core product, Review, identifies contract risks and suggests edits using expert-built legal playbooks. The company says it improves accuracy while cutting review time by up to 85 percent across 7,000 client organisations in Japan, the US and the UK.

LegalOn plans to develop AI agents to handle tasks before and after the review process, including contract tracking and workflow integration. A new tool, Matter Management, enables teams to efficiently assign contract responsibilities, collaborate, and link documents.

While legal AI adoption grows, CEO Daniel Lewis insists the technology will support rather than replace lawyers. He believes professionals who embrace AI will gain the most leverage, as human oversight remains vital to legal judgement.

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Trump pushes for ‘anti-woke’ AI in US government contracts

Tech firms aiming to sell AI systems to the US government will now need to prove their chatbots are free of ideological bias, following a new executive order signed by Donald Trump.

The measure, part of a broader plan to counter China’s influence in AI development, marks the first official attempt by the US to shape the political behaviour of AI in services.

It places a new emphasis on ensuring AI reflects so-called ‘American values’ and avoids content tied to diversity, equity and inclusion (DEI) frameworks in publicly funded models.

The order, titled ‘Preventing Woke AI in the Federal Government’, does not outright ban AI that promotes DEI ideas, but requires companies to disclose if partisan perspectives are embedded.

Major providers like Google, Microsoft and Meta have yet to comment. Meanwhile, firms face pressure to comply or risk losing valuable public sector contracts and funding.

Critics argue the move forces tech companies into a political culture war and could undermine years of work addressing AI bias, harming fair and inclusive model design.

Civil rights groups warn the directive may sideline tools meant to support vulnerable groups, favouring models that ignore systemic issues like discrimination and inequality.

Policy analysts have compared the approach to China’s use of state power to shape AI behaviour, though Trump’s order stops short of requiring pre-approval or censorship.

Supporters, including influential Trump-aligned venture capitalists, say the order restores transparency. Marc Andreessen and David Sacks were reportedly involved in shaping the language.

The move follows backlash to an AI image tool released by Google, which depicted racially diverse figures when asked to generate the US Founding Fathers, triggering debate.

Developers claimed the outcome resulted from attempts to counter bias in training data, though critics labelled it ideological overreach embedded by design teams.

Under the directive, companies must disclose model guidelines and explain how neutrality is preserved during training. Intentional encoding of ideology is discouraged.

Former FTC technologist Neil Chilson described the order as light-touch. It does not ban political outputs; it only calls for transparency about generating outputs.

OpenAI said its objectivity measures align with the order, while Microsoft declined to comment. xAI praised Trump’s AI policy but did not mention specifics.

The firm, founded by Elon Musk, recently won a $200M defence contract shortly after its Grok chatbot drew criticism for generating antisemitic and pro-Hitler messages.

Trump’s broader AI orders seek to strengthen American leadership and reduce regulatory burdens to keep pace with China in the development of emerging technologies.

Some experts caution that ideological mandates could set a precedent for future governments to impose their political views on critical AI infrastructure.

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Starlink suffers widespread outage from a rare software failure

The disruption began around 3 p.m. EDT and was attributed to a failure in Starlink’s core internal software services. The issue affected one of the most resilient satellite systems globally, sparking speculation over whether a botched update or a cyberattack may have been responsible.

Starlink, which serves more than six million users across 140 countries, saw service gradually return after two and a half hours.

Executives from SpaceX, including CEO Elon Musk and Vice President of Starlink Engineering Michael Nicolls, apologised publicly and promised to address the root cause to avoid further interruptions. Experts described it as Starlink’s most extended and severe outage since becoming a major provider.

As SpaceX continues upgrading the network to support greater speed and bandwidth, some experts warned that such technical failures may become more visible. Starlink has rapidly expanded with over 8,000 satellites in orbit and new services like direct-to-cell text messaging in partnership with T-Mobile.

Questions remain over whether Thursday’s failure affected military services like Starshield, which supports high-value US defence contracts.

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DeepSeek and others gain traction in US and EU

A recent survey has found that most US and the EU users are open to using Chinese large language models, even amid ongoing political and cybersecurity scrutiny.

According to the report, 71 percent of respondents in the US and 87 percent in the EU would consider adopting models developed in China.

The findings highlight increasing international curiosity about the capabilities of Chinese AI firms such as DeepSeek, which have recently attracted global attention.

While the technology is gaining credibility, many Western users remain cautious about data privacy and infrastructure control.

More than half of those surveyed said they would only use Chinese AI models if hosted outside China. However, this suggests that while trust in the models’ performance is growing, concerns over data governance remain a significant barrier to adoption.

The results come amid heightened global competition in the AI race, with Chinese developers rapidly advancing to challenge US-based leaders. DeepSeek and similar firms now face balancing global outreach with geopolitical limitations.

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Google’s AI Overviews reach 2 billion users monthly, reshaping the web’s future

Google’s AI Overviews, the generative summaries placed above traditional search results, now serve over 2 billion users monthly, a sharp rise from 1.5 billion just last quarter.

First launched in May 2023 and widely available in the US by mid-2024, the feature has rapidly expanded across more than 200 countries and 40 languages.

The widespread use of AI Overviews transforms how people search and who benefits. Google reports that the feature boosts engagement by over 10% for queries where it appears.

However, a study by Pew Research shows clicks on search results drop significantly when AI Overviews are shown, with just 8% of users clicking any link, and only 1% clicking within the overview itself.

While Google claims AI Overviews monetise at the same rate as regular search, publishers are left out unless users click through, which they rarely do.

Google has started testing ads within the summaries and is reportedly negotiating licensing deals with select publishers, hinting at a possible revenue-sharing shift. Meanwhile, regulators in the US and EU are scrutinising whether the feature violates antitrust laws or misuses content.

Industry experts warn of a looming ‘Google Zero’ future — a web where search traffic dries up and AI-generated answers dominate.

As visibility in search becomes more about entity recognition than page ranking, publishers and marketers must rethink how they maintain relevance in an increasingly post-click environment.

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Amazon exit highlights deepening AI divide between US and China

Amazon’s quiet wind-down of its Shanghai AI lab underscores a broader shift in global research dynamics, as escalating tensions between the US and China reshape how tech giants operate across borders.

Instead of expanding innovation hubs in China, major American firms are increasingly dismantling them.

The AWS lab, once central to Amazon’s AI research, produced tools said to have generated nearly $1bn in revenue and over 100 academic papers.

Yet its dissolution reflects a growing push from Washington to curb China’s access to cutting-edge technology, including restrictions on advanced chips and cloud services.

As IBM and Microsoft have also scaled back operations or relocated talent away from mainland China, a pattern is emerging: strategic retreat. Rather than risking compliance issues or regulatory scrutiny, US tech companies are choosing to restructure globally and reduce local presence in China altogether.

With Amazon already having exited its Chinese ebook and ecommerce markets, the shuttering of its AI lab signals more than a single closure — it reflects a retreat from joint innovation and a widening technological divide that may shape the future of AI competition.

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