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The two biggest names in European football never to win the continent’s biggest prize meet for a place in the final. It’s 20 years since Arsenal found themselves 14 minutes from glory, only for Barcelona to hit them with a couple of sucker punches; their continental roll of honour (one Inter-Cities Fairs Cup, one Cup Winners’ Cup) is absurdly short given the size and status of the grand old club. Atlético Madrid have made more of an imprint in Europe, with three Europa Leagues, a Cup Winners’ Cup and three Super Cups, but the big one has eluded them as well: they’ve suffered the trophy being snatched from under their nose in excruciating circumstances not just once but three times, in 1974, 2014 and 2016, insult being bundled up with injury on the latter two occasions by good old Real Madrid.

We’re not quite at the Something’s Got To Give stage, seeing this is just the semi, and whoever gets through will be strong second favourites against either Bayern Munich or PSG. But something’s got to give at some point, surely, and reaching the final is the necessary step in making that dream possible. So here we are. Atleti were the better side last week in Madrid, yet Arsenal were nevertheless a contentious penalty decision away from a priceless victory. Mikel Arteta’s men were certainly the better side when the teams met during the league phase last October, though, scoring four goals in 14 second-half minutes. So both teams will fancy their chances. Kick-off is at 8pm BST. Extra time and penalties not beyond the realms. It’s on!

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Italian prime minister had received wave of criticism from people who believed deepfake pictures of her were real

Italy’s prime minister, Giorgia Meloni, has criticised the circulation of AI-generated deepfake images of her, including one depicting her in lingerie, after they were widely shared online.

Meloni wrote on Facebook on Tuesday: “In recent days, several fake images of me have been circulating, generated using artificial intelligence and passed off as real by some overzealous opponents.

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Researchers say findings are not reason to shy away from restrictions as MPs consider ban in England’s schools

Strict bans on mobile phones in schools have “close to zero” impact on student learning and show no evidence of improvements in attendance or online bullying, a study has found.

Researchers at US universities including Stanford and Duke looked at nearly 1,800 US schools where students’ phones were kept in locked pouches and found little or no differences in outcomes compared with similar schools without strict bans.

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Inquiry set up by rightwing politician recommends merging major channels and slashing TV entertainment budgets by 75%

French politicians on the left and centre have criticised a parliament inquiry report that recommends sweeping cuts to public broadcasting, with a row over culture wars building before next year’s presidential election.

State broadcasting is a key topic in the run-up to April’s vote, with the far right, which is leading in the polls, highly critical of public TV and radio and vowing to privatise it.

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ServiceNow announced an expansion of its AI Control Tower, transforming what began last year as a governance dashboard into what the company now describes as a command center for managing AI assets across an entire enterprise, including those running outside ServiceNow's own platform. The updated AI Control Tower, shipping as part of ServiceNow's Australia platform release, now operates across five areas: discovery, observation, governance, security, and measurement. The company said that this is its answer to AI agent sprawl, as enterprises have deployed more AI than they can account for and the tools to govern it have not kept pace. “What we launched last year gave customers a governance layer, but what we're shipping this year goes significantly deeper, evolving from visibility and management into a full enterprise AI command center,” Nenshad Bardoliwalla, group vice president of AI products at ServiceNow told reporters during a media briefing ahead of the company’s annual product show, Knowledge 26. “Our AI control tower ensures every AI system asset and identity is compliant, secure, and aligned with your strategy.” The AI Control Tower now reaches beyond ServiceNow's own platform with 30 new enterprise connectors that span all three major hyperscalers, Amazon Web Services, Google Cloud, and Microsoft Azure, along with enterprise applications such as SAP, Oracle, and Workday. The system can now discover AI assets, models, agents, prompts, and datasets running across an organization's full technology estate, not just those deployed on ServiceNow. “With our Veza integration, we're bringing patented access graph technology into the AI control tower, extending identity access governance to hyperscaler AI environments and every connected device, every agent, every model, every action has scope permissions, least privilege enforcement and auditable identity chains,” Bardoliwalla said. Bardoliwalla walked through a demo in which the AI Control Tower detected a prompt injection attack on a pricing agent. The system identified malicious instructions hidden inside order payloads, mapped the blast radius of affected systems using access graph technology from Veza, and presented a kill switch to disable the compromised agent, without human intervention. "You need a system that senses, decides and acts on its own, that can scale with your AI portfolio, not your head count," said Bardoliwalla. Two recent acquisitions underpin the security architecture. ServiceNow announced in December it would acquire Veza, which contributes an access graph that maps every identity and access path across systems whether it belongs to humans, machines, or AI agents. It also knows which entities have create, read, update, and delete-level permissions. ServiceNow said the access graph currently maps over 30 billion fine-grained permissions. When a vendor pushes a new version of a model or agent, the platform detects permission changes and automatically triggers a re-scoping workflow. Traceloop, which ServiceNow acquired in March, provides deep AI observability inside the Control Tower by tracking every LLM call that is running in the system. The integration delivers continuous runtime monitoring with live alerts, replacing what ServiceNow described as the periodic manual audits most enterprises still rely on. Teams can watch how agents reason, where they make decisions, and when to course-correct. ServiceNow also addressed the cost side of the AI equation. Control Tower now includes cost tracking and ROI dashboards to give finance teams visibility into model spend. The measurements track token consumption across providers such as OpenAI, Anthropic, and Google so customers can predict costs and tie spending to business outcomes. ServiceNow said it uses the AI Control Tower internally to manage over 1,600 AI assets and tracked half a billion dollars in cumulative AI value from internal use cases in 2025. "The number one question every CFO is asking is, where's the value?" said Bardoliwalla during the briefing. He added that runaway model spend ranks among the biggest pain points enterprises currently face as they scale AI deployments. Alongside the Control Tower expansion, ServiceNow announced Action Fabric, a mechanism that opens the company's full workflow engine to external AI agents. Through a generally available MCP server, agents built on Claude, Copilot, or custom platforms can now trigger governed enterprise actions — not just read and write data, but execute the flows, playbooks, approval chains, and catalog requests that ServiceNow customers have built over years. Anthropic is the first design partner for Action Fabric. The integration connects Claude directly to ServiceNow's governed system of action. "The gap between knowing what needs to happen and making it happen is where productivity dies," said Boris Cherny, head of Claude Code at Anthropic said in a statement. "Connecting Claude Cowork to ServiceNow's system of action closes that gap with enterprise execution, directly in the flow of work." Every action routed through Action Fabric runs through the AI Control Tower, so it carries identity verification, permission scoping, and a full audit trail. The MCP server is included in every Now Assist and AI Native SKU, with additional features planned for the second half of 2026.

ServiceNow acquisitions Veza and Traceloop join to monitor agents and AI workflows

ServiceNow announced an expansion of its AI Control Tower, transforming what began last year as a governance dashboard into what the company now describes as a command center for managing AI assets across an entire enterprise, including those running outside ServiceNow's own platform.…

Shortwave radio enthusiasts are sure to know the problem: You're trying to tune in to your favorite global broadcast only to find that the signal is fuzzy. Is it you? Your equipment? It might just be the conditions in the ionosphere, which you'd know if you built this DIY device.  As detailed in a YouTube video and project writeup on Hackster, North Macedonian maker Mirko Pavleski built himself a wee machine that measures ambient RF energy across the shortwave band, using it as a rough proxy for propagation conditions. For those not in the know about shortwave radio frequencies between ~1 and 30 MHz, their ability to travel around the world is thanks to the ionosphere. When the layer of ionized gas that makes up the aptly-named ionosphere is thick and dense, it refracts more shortwave signals back to Earth, meaning shortwave signals bounce off the atmosphere more and arrive at receivers stronger and clearer.  A weaker ionosphere, meanwhile, means more signal escapes into space and that broadcast is harder to make out.  Knowing the level of ambient RF energy across the shortwave band can be useful information when you're a shortwave listener, in other words, and that's exactly what Pavleski's device displays. The build is relatively simple, with basic components like an Arduino Nano R3, a small OLED, and, most crucially, a CA3089 chip used to translate raw RF signals into data the Arduino can display in an intelligible form.  The CA3089 is the trickiest part of the build, as you'll need to follow Pavleski's circuit diagram included on Hackster to wire up the passive components needed to make the whole thing work.  The data that the CA3089 outputs is also fairly raw, with its built-in received signal strength indicator providing a logarithmic voltage output corresponding to the strength of the received RF signals. "I map the entire input from 0 to 1023, which means that the values on the display from 0 to 1024 correspond to a voltage from 0 to 5V," Pavleski explained, while noting that the Arduino code he included in the project can be altered to show a different value if desired.  However, you choose to have it display - you could even cut out the Arduino and attach an analog multimeter instead - Pavleski notes that it takes a bit of time to get a sense of what a particular reading means.  "After a few days of comparing the value of the instrument with the real received signal on the radio, we will know for sure when the propagation of the RF signals is bad, good or excellent, and that at the same moment when we look at the instrument," the Macedonian maker explained. While shortwave radio operation is the obvious use of a tool like this, we can imagine other handy uses of it too: Maybe you want to record ionosphere activity for space-related purposes, are trying to correlate RF radiation to your local weather, or are a data hoarder looking for a new source. No matter the purpose, here's a project that'll suit your niche needs. ®

A rough guide to when your signal will behave, or not

Shortwave radio enthusiasts are sure to know the problem: You're trying to tune in to your favorite global broadcast only to find that the signal is fuzzy. Is it you? Your equipment? It might just be the conditions in the ionosphere, which you'd know if you built this DIY device. …

Jake Bugg

The New Pornographers