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AI tool boosts accuracy of cancer treatment predictions

A Slovenian-US biotech company, Genialis, is harnessing AI to revolutionise cancer treatment by tackling a major obstacle: the lack of reliable biomarkers to predict how patients will respond to therapy. Using an AI-driven model developed from over a million global samples, the company aims to personalise treatment with far greater accuracy.

Founded nine years ago as a spin-off from the University of Ljubljana, Genialis is now headquartered in Boston but maintains strong ties to Slovenia, employing 22 local experts. Initially focused on tools for biologists, the firm shifted towards personalised medicine six years ago, now offering diagnostic insights that predict whether a patient is likely to respond to a specific cancer drug or treatment.

Genialis’ proprietary “Supermodel” analyses RNA data from a diverse range of patients using machine learning, boosting the likelihood of treatment success from 20–30% to as high as 65% when paired with their biomarkers. While the software is already used in research settings, the ultimate goal is to integrate it into routine clinical care. Despite the promise, challenges remain, including securing quality data and investment. Co-founders Rafael Rosengarten and Miha Štajdohar remain optimistic, believing AI-powered precision medicine is the future of effective cancer therapy.

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Osney Capital invests in the UK’s cybersecurity innovation

Osney Capital has launched the UK’s first specialist cybersecurity seed fund, focused on investing in promising cybersecurity startups at the Pre-Seed and Seed stages.

The fund, which raised more than its initial £50 million target, will write cheques between £250k and £2.5 million and has the capacity for follow-on investments in Series A rounds.

Led by Adam Cragg, Josh Walter, and Paul Wilkes, the Osney Capital team brings decades of experience in cybersecurity and early-stage investing. Instead of relying on generalist investors, the fund will offer tailored support to early-stage companies, addressing the unique challenges in the cybersecurity sector.

The UK cybersecurity industry has grown to £13.2 billion in 2025, driven by complex cyber threats, regulatory pressures, and the rapid adoption of AI. The fund aims to capitalise on this growth, tapping into the strong talent pipeline boosted by UK universities and specialised cybersecurity programs.

Supported by cornerstone investments from the British Business Bank and accredited by the UK’s National Security Strategic Investment Fund, Osney Capital’s mission is to back the next generation of cybersecurity founders and help them scale globally competitive businesses.

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Thailand strengthens cybersecurity with Google Cloud

Thailand’s National Cyber Security Agency (NCSA) has joined forces with Google Cloud to strengthen the country’s cyber resilience, using AI-based tools and shared threat intelligence instead of relying solely on traditional defences.

The collaboration aims to better protect public agencies and citizens against increasingly sophisticated cyber threats.

A key part of the initiative involves deploying Google Cloud Cybershield for centralised monitoring of security events across government bodies. Instead of having fragmented monitoring systems, this unified approach will help streamline incident detection and response.

The partnership also brings advanced training for cybersecurity personnel in the public sector, alongside regular threat intelligence sharing.

Google Cloud Web Risk will be integrated into government operations to automatically block websites hosting malware and phishing content, instead of relying on manual checks.

Google further noted the impact of its anti-scam technology in Google Play Protect, which has prevented over 6.6 million high-risk app installation attempts in Thailand since its 2024 launch—enhancing mobile safety for millions of users.

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Meta unveils Llama 4 models to boost AI across platforms

Meta has launched Llama 4, its latest and most advanced family of open-weight AI models, aiming to enhance the intelligence of Meta AI across services like WhatsApp, Instagram, and Messenger.

Instead of keeping these models cloud-restricted, Meta has made them available for download through its official Llama website and Hugging Face, encouraging wider developer access.

Two models, Llama 4 Scout and Maverick, are now publicly available. Scout, the lighter model with 17 billion active parameters, supports a 10 million-token context window and can run on a single Nvidia H100 GPU.

It outperforms rivals like Google’s Gemma 3 and Mistral 3.1 in benchmark tests. Maverick, the more capable model, uses the same number of active parameters but with 128 experts, offering competitive performance against GPT-4o and DeepSeek v3 while being more efficient.

Meta also revealed the Llama 4 Behemoth model, still in training, which serves as a teacher for the rest of the Llama 4 line. Instead of targeting lightweight use, Behemoth focuses on heavy multimodal tasks with 288 billion active parameters and nearly two trillion in total.

Meta claims it outpaces GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro in key STEM-related evaluations.

These open-weight AI models allow local deployment instead of relying on cloud APIs, though some licensing limits may apply. With Scout and Maverick already accessible, Meta is gradually integrating Llama 4 capabilities into its messaging and social platforms worldwide.

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GenAI comes to Spotify ads in US and Canada

Spotify has announced a suite of new advertising tools and features, including generative AI capabilities, at its recent Spotify Advance event in New York.

Designed to simplify ad creation and targeting, the initiative, branded as Spotify GenAI Ads, aims to help advertisers generate scripts and voiceovers at no extra cost.

Advertisers can also collaborate with Spotify’s in-house creative agencies to develop campaigns, while upgraded tools on the Spotify Ad Exchange (SAX) offer access to logged-in users through real-time auctions.

Integration with platforms such as Google Display & Video 360, The Trade Desk, Magnite, and Yahoo DSP further enhances reach and targeting options.

A new Spotify Ads Manager tool is also being rolled out in the US and Canada, providing advanced audience segmentation and performance tracking for tailored campaigns. These innovations reflect Spotify’s growing focus on personalisation and automation in digital advertising.

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Tech giants face pushback over AI and book piracy

Meta and Anthropic’s recent attempts to defend their use of copyrighted books in training AI tools under the US legal concept of ‘fair use’ are unlikely to succeed in UK courts, according to the Publishers Association and the Society of Authors.

Legal experts argue that ‘fair use’ is far broader than the UK’s stricter ‘fair dealing’ rules, which limit the unauthorised use of copyrighted works.

The controversy follows revelations that Meta may have used pirated books from LibraryGenesis to train its AI model, Llama 3. Legal filings in the US claim the use of these books was transformative and formed only a small part of the training data.

However, UK organisations and authors insist that such use amounts to large-scale copyright infringement and would not be justified under UK law.

Calls for transparency and licensing reform are growing, with more than 8,000 writers signing a petition and protests planned outside Meta’s London headquarters.

Critics, including Baroness Beeban Kidron, argue that AI models rely on the creativity and quality of copyrighted content—making it all the more important for authors to retain control and receive proper compensation.

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Aetherflux raises $50 million for space solar power project

Aetherflux, the space solar startup founded by Baiju Bhatt, the billionaire co-founder of Robinhood, has secured $50 million in Series A funding to advance its first low Earth orbit demonstration scheduled for 2026.

The California-based startup, which emerged from stealth in October, plans to deploy a constellation of satellites capable of collecting solar energy and transmitting it to Earth.

The concept, inspired by Isaac Asimov’s 1941 short story ‘Reason,’ is set to change the way power is sourced globally. Bhatt is dedicated to transforming this science fiction-inspired idea into reality.

With the newly raised capital, Aetherflux aims to hire more engineers and build the technology needed for its missions. The company will use the funds to develop its satellite payload and improve infrastructure.

The satellites will send power back to Earth via lasers, with energy captured by ground stations featuring photovoltaic arrays. These stations will store energy for future use and may one day deliver electricity to remote areas.

Bhatt’s team, consisting of experts from NASA, SpaceX, and the US Navy, is also focused on building the first ground station. While a location hasn’t been chosen, military sites are being considered for their controlled airspace.

If successful, Aetherflux will pave the way for scalable space-based solar power systems.

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AI-powered search expands with Microsoft’s Copilot Search

Microsoft has unveiled Copilot Search, a new AI-powered feature designed to enhance the Bing search experience.

Available at bing.com/copilotsearch, it generates responses using AI, providing users with summarised answers, related links, and reasoning behind the results. The feature follows Google ‘s introduction of AI Mode in Search, which similarly offers AI-generated overviews for complex queries.

Copilot Search enables users to explore their queries more interactively. Responses include two key options: ‘See all links,’ which displays sources used in the summary, and ‘See reasoning,’ which explains how the response was generated.

Users can also submit follow-up questions within the same interface, keeping the entire conversation on a single page for easier navigation. Additional options for images and videos are available, though they redirect to Bing’s standard media search.

The latest search enhancement introduced by Microsoft reflects the increasing role of AI in online search, blending AI-generated insights with traditional web links.

Bing users who prefer the classic search experience will still have access to traditional results, while AI-generated answers will appear at the top of natural language queries.

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Amazon introduces AI-generated recaps for Kindle book series

Amazon has introduced a new Recaps feature for Kindle users, designed to help readers recall key plot points and character developments before starting the next book in a series.

The feature, now available to Kindle users in the United States, provides AI-generated summaries for thousands of best-selling English-language e-books.

While Amazon did not initially mention AI in its announcement, the company later confirmed that Recaps are created using generative AI, with human moderators ensuring accuracy.

Concerns about the reliability of AI-generated summaries have surfaced among Kindle users, with some questioning whether they will accurately reflect book content. Amazon maintains that its process ensures accuracy, though further details have not been provided.

Recaps can be accessed through the Kindle Library or within a book series page, and users must acknowledge a spoiler warning before viewing the summary.

The feature aims to improve the reading experience by helping readers stay immersed in complex stories without having to re-read previous books.

Amazon plans to expand Recaps to the Kindle app for iOS soon, covering a variety of genres, including fantasy, mystery, and thriller series.

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OpenAI backs Adaptive Security in the battle against AI threats

AI-driven cyber threats are on the rise, making it easier than ever for hackers to deceive employees through deepfake scams and phishing attacks.

OpenAI, a leader in generative AI, has recognised the growing risk and made its first cybersecurity investment in New York-based startup Adaptive Security. The company has secured $43 million in Series A funding, co-led by OpenAI’s startup fund and Andreessen Horowitz.

Adaptive Security helps companies prepare for AI-driven cyberattacks by simulating deepfake calls, texts, and emails. Employees may receive a phone call that sounds like their CTO, asking for sensitive information, but in reality, it is an AI-generated test.

The platform identifies weak points in a company’s security and trains staff to recognise potential threats. Social engineering scams, which trick employees into revealing sensitive data, have already led to massive financial losses, such as the $600 million Axie Infinity hack in 2022.

CEO Brian Long, a seasoned entrepreneur, says the funding will go towards hiring engineers and improving the platform to keep pace with evolving AI threats.

The investment comes amid a surge in cybersecurity funding, with companies like Cyberhaven, Snyk, and GetReal also securing major investments.

As cyber risks become more advanced, Long advises employees to take simple precautions, including deleting voicemails to prevent hackers from cloning their voices.

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