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Super Bowl 2026 ads embrace the AI power

AI dominated the 2026 Super Bowl advertising landscape as brands relied on advanced models instead of traditional high-budget productions.

Many spots showcased AI as both the creative engine behind the visuals and the featured product, signalling a shift toward technology-centred storytelling during the most expensive broadcast event of the year.

Svedka pursued a provocative strategy by presenting a largely AI-generated commercial starring its robot pair, a choice that reignited arguments over whether generative tools could displace human creatives.

Anthropic went in a different direction by using humour to mock OpenAI’s plan to introduce advertisements to ChatGPT, a jab that led to a pointed response from Sam Altman and fuelled an online dispute.

Meta, Amazon and Google used their airtime to promote their latest consumer offerings, with Meta focusing on AI-assisted glasses for extreme activities and Amazon unveiling Alexa+, framed through a satirical performance by Chris Hemsworth about fears of malfunctioning assistants.

Google leaned toward practical design applications instead of spectacle, demonstrating its Nano Banana Pro system transforming bare rooms into personalised images.

Other companies emphasised service automation, from Ring’s AI tool for locating missing pets to Ramp, Rippling and Wix, which showcased platforms designed to ease administrative work and simplify creative tasks.

Hims & Hers adopted a more social approach by highlighting the unequal nature of healthcare access and promoting its AI-driven MedMatch feature.

The variety of tones across the adverts underscored how brands increasingly depend on AI to stand out, either through spectacle or through commentary on the technology’s expanding cultural power.

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Study shows AI-enabled digital stethoscope boosts cardiac screening accuracy

Researchers have found that an AI-enabled digital stethoscope significantly improves the detection of moderate-to-severe valvular heart disease in primary care compared with traditional auscultation. The prospective study was published in the European Heart Journal Digital Health.

In the trial, the AI-assisted device achieved a sensitivity of 92.3 percent for audible valvular disease, more than double the 46.2 percent recorded using standard stethoscopes. The system identified twice as many previously undiagnosed moderate-to-severe cases.

The study involved 357 patients aged 50 and over with cardiovascular risk factors and no known valvular disease. Participants underwent routine clinician examination, along with AI-supported phonocardiogram analysis, with echocardiography used for confirmation.

While specificity was lower for the AI tool, researchers said the technology is intended to support screening rather than replace clinical judgement. Earlier identification could enable faster referral for echocardiography and treatment.

Authors cautioned that increased false positives may raise referral volumes and healthcare costs, highlighting the need for further evaluation. Despite limitations, the findings suggest AI augmentation could strengthen early cardiac screening in primary care settings.

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How early internet choices shaped today’s AI

Two decisions taken on the same day in February 1996 continue to shape how the internet, and now AI, is governed today. That is the central argument of Jovan Kurbalija’s blog ‘Thirty years of Original Sin of digital and AI governance,’ which traces how early legal and ideological choices created a lasting gap between technological power and public accountability.

The first moment unfolded in Davos, where John Perry Barlow published his Declaration of the Independence of Cyberspace, portraying the internet as a realm beyond the reach of governments and existing laws. According to Kurbalija, this vision helped popularise the idea that digital space was fundamentally separate from the physical world, a powerful narrative that encouraged the belief that technology should evolve faster than, and largely outside of, politics and law.

In reality, the blog argues, there is no such thing as a stateless cyberspace. Every online action relies on physical infrastructure, data centres, and networks that exist within national jurisdictions. Treating the internet as a lawless domain, Kurbalija suggests, was less a triumph of freedom than a misconception that sidelined long-standing legal and ethical traditions.

The second event happened the same day in Washington, D.C., when the United States enacted the Communications Decency Act. Hidden within it was Section 230, a provision that granted internet platforms broad immunity from liability for the content they host. While originally designed to protect a young industry, this legal shield remains in place even as technology companies have grown into trillion-dollar corporations.

Kurbalija notes that the myth of a separate cyberspace and the legal immunity of platforms reinforced each other. The idea of a ‘new world’ helped justify why old legal principles should not apply, despite early warnings, including from US judge Frank Easterbrook, that existing laws were sufficient to regulate new technologies by focusing on human relationships rather than technical tools.

Today, this unresolved legacy has expanded into the realm of AI. AI companies, the blog argues, benefit from the same logic of non-liability, even as their systems can amplify harm at a scale comparable to, or even greater than, that of other heavily regulated industries.

Kurbalija concludes that addressing AI’s societal impact requires ending this era of legal exceptionalism and restoring a basic principle that those who create, deploy, and profit from technology must also be accountable for its consequences.

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New York moves toward data centre moratorium as energy fears grow

Lawmakers in New York have proposed a three-year moratorium on permits for new data centres amid pressure to address the strain prominent AI facilities place on local communities.

The proposal mirrors similar moves in several other states and reflects rising concern that rapidly expanding infrastructure may raise electricity costs and worsen environmental conditions rather than supporting balanced development.

Politicians from both major parties have voiced unease about the growing power demand created by data-intensive services. Figures such as Bernie Sanders and Ron DeSantis have warned that unchecked development could drive household bills higher and burden communities.

More than 230 environmental organisations recently urged Congress to consider a national pause to prevent further disruption.

The New York bill, sponsored by Liz Krueger and Anna Kelles, aims to give regulators time to build strict rules before major construction continues. Krueger described the state as unprepared for the scale of facilities seeking entry, arguing that residents should not be left covering future costs.

Supporters say a temporary halt would provide time to design policies that protect consumers rather than encourage unrestrained corporate expansion.

Governor Kathy Hochul recently announced the Energize NY Development initiative, intended to modernise the grid connection process and ensure large energy users contribute fairly.

The scheme would require data centre operators to improve their financial responsibility as New York reassesses its approach to extensive AI-driven infrastructure.

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Agentic AI transforms finance systems

Organisations undergoing finance transformations are discovering that traditional system cutovers rarely go as planned. Hidden manual workarounds and undocumented processes often surface late, creating operational risks and delays during ERP migrations.

Agentic AI is emerging as a solution by deploying autonomous software agents that discover real workflows directly from system data. Scout agents analyse transaction logs to uncover hidden dependencies, allowing companies to build more accurate future systems based on actual operations.

Simulator agents to stress test new systems by generating thousands of realistic transactions continuously. When problems arise, agents analyse errors and automatically recommend fixes, turning testing into a continuous improvement process rather than a one-time checkpoint.

Sentinel agents monitor financial records in real time to detect discrepancies before they escalate into compliance risks. Leaders say the approach shifts focus from single go-live milestones to ongoing resilience, with teams increasingly managing intelligent systems instead of manual processes.

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Big Tech’s $600 billion AI spending spree spooks global investors

A based report highlights that major technology companies are planning to spend roughly $600 billion on AI-related capital expenditure in 2026, including data centres, AI hardware and infrastructure, which has unsettled global markets.

Shares of some big tech firms fell sharply on investor worries that such eye-wateringly high AI spending may not deliver near-term profits and could weaken traditional software sectors.

For example, Amazon’s share price slid after announcing a $200 billion capex plan, and other software and analytics stocks also saw significant declines.

Analysts say markets are no longer interpreting AI spending purely as a growth narrative; heightened caution reflects concerns that heavy investment may pull future earnings forward too aggressively or concentrate market leadership among a few mega-cap names, while broad profitability remains uncertain.

This investor unease has contributed to broader equity market weakness, with indices like the S&P 500 and tech weights under pressure as software and data services stocks face continued selling.

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AI stethoscope doubles detection of serious heart valve disease

Researchers in the United States have shown that an AI-enabled digital stethoscope detected moderate to severe valvular heart disease more than twice as often as traditional tools during routine clinical exams.

The study assessed 357 patients aged 50 and above in primary care settings, using both conventional and AI-assisted stethoscopes. Sensitivity rose from 46.2 percent with traditional listening to 92.3 percent with the AI-enabled device.

Valvular heart disease affects a large proportion of older adults but frequently remains undiagnosed due to subtle or absent symptoms and limitations of conventional auscultation during busy clinical practice.

The digital stethoscope records high-fidelity heart sounds and applies machine-learning models to identify acoustic patterns associated with valve abnormalities, helping clinicians make early screening decisions.

US researchers noted a small drop in specificity that could increase false positives, but argued that earlier detection could reduce complications, hospital admissions, and long-term healthcare costs.

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EU split widens over ban on AI nudification apps

European lawmakers remain divided over whether AI tools that generate non-consensual sexual images should face an explicit ban in the EU legislation.

The split emerged as debate intensified over the AI simplification package, which is moving through Parliament and the Council rather than remaining confined to earlier negotiations.

Concerns escalated after Grok was used to create images that digitally undressed women and children.

The EU regulators responded by launching an investigation under the Digital Services Act, and the Commission described the behaviour as illegal under existing European rules. Several lawmakers argue that the AI Act should name pornification apps directly instead of relying on broader legal provisions.

Lead MEPs did not include a ban in their initial draft of the Parliament’s position, prompting other groups to consider adding amendments. Negotiations continue as parties explore how such a restriction could be framed without creating inconsistencies within the broader AI framework.

The Commission appears open to strengthening the law and has hinted that the AI omnibus could be an appropriate moment to act. Lawmakers now have a limited time to decide whether an explicit prohibition can secure political agreement before the amendment deadline passes.

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AI predicts brain age and cancer survival

Researchers at Mass General Brigham have unveiled BrainIAC, an artificial intelligence model capable of analysing brain MRI scans to predict age, dementia risk, tumour mutations, and cancer survival. The model demonstrates remarkable flexibility, handling a wide variety of medical tasks with high accuracy.

BrainIAC employs self-supervised learning to identify features from unlabeled MRI datasets, allowing it to adapt to numerous clinical applications without requiring extensive annotated data. Its performance surpasses that of conventional task-specific AI frameworks.

Tests on nearly 49,000 MRI scans across seven different tasks revealed the model’s ability to generalise across both healthy and abnormal images. It successfully tackled both straightforward tasks, such as scan classification, and complex challenges, including tumour mutation detection.

The team highlights BrainIAC’s potential to accelerate biomarker discovery, improve diagnostic tools, and personalise patient care. While results are promising, researchers note that further studies on additional imaging techniques and larger datasets are necessary to validate its broader clinical use.

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AI set to redefine Indian industry and economy

Artificial intelligence is becoming a cornerstone of India’s economic and industrial growth. The upcoming AI summit highlights the goal of building AI as national infrastructure, reflecting India’s languages, values, and knowledge systems.

Indian IT and service industries are moving beyond software maintenance to providing AI infrastructure and intelligent systems. Such a transformation can automate workflows, boost productivity, and create new opportunities domestically and globally.

Industrial AI is set to transform manufacturing, enabling next-generation factories through virtual twin technologies. AI grounded in physics and industrial knowledge allows faster prototyping, efficient resource use, and greater competitiveness for large enterprises and MSMEs.

Collaborations between NVIDIA and Dassault Systèmes showcase AI-driven factories and industrial intelligence. India’s talent, scale, and digital ecosystem position it to lead in industrial and generative AI, setting global technological and economic benchmarks.

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