The company is engaging thousands of visitors, including farmers and policymakers, by spotlighting digital inclusive finance, insurance and smart infrastructure innovations.
The display features EcoCash mobile payments, Moovah Insurance for agricultural and business risks, and digital entertainment platforms. A standout addition is Econet’s smart water metres, which provide real-time monitoring to help farmers and utilities manage water use, minimise waste and support sustainable development in agriculture.
Econet emphasises that these solutions reinforce its vision of empowering communities through accessible technology. Smart infrastructure and financial tools are presented as vital enablers for productivity, resilience and economic inclusion in Zimbabwe’s agricultural sector.
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Led by CEO Nick Lahoika, the company has scaled rapidly, achieving upwards of 4 million downloads and serving approximately 160,000 active users.
Vocal Image positions itself as an affordable, mobile-first alternative to traditional one-on-one voice training, rooted in Lahoika’s own journey overcoming speaking anxiety.
The app’s design enables users to practice at home with privacy and convenience, offering daily, bite-sized lessons informed by AI that assess strengths, suggest improvements and nurture confidence with no need for human instructors.
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A hacker exploited Anthropic’s Claude chatbot to automate one of the most extensive AI-driven cybercrime operations yet recorded, targeting at least 17 companies across multiple sectors, the firm revealed.
According to Anthropic’s report, the attacker used Claude Code to identify vulnerable organisations, generate malicious software, and extract sensitive files, including defence data, financial records, and patients’ medical information.
The chatbot then sorted the stolen material, identified leverage for extortion, calculated realistic bitcoin demands, and even drafted ransom notes and extortion emails on behalf of the hacker.
Victims included a defence contractor, a financial institution, and healthcare providers. Extortion demands reportedly ranged from $75,000 to over $500,000, although it remains unclear how much was actually paid.
Anthropic declined to disclose the companies affected but confirmed new safeguards are in place. The firm warned that AI lowers the barrier to entry for sophisticated cybercrime, making such misuse increasingly likely.
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People often treat their email address as harmless, just a digital ID for receipts and updates. In reality, it acts as a skeleton key linking behaviour, purchases, and personal data across platforms.
Using the same email everywhere makes tracking easy. Companies may encrypt addresses, but behavioural patterns remain intact. Aliases disrupt this chain by creating unique addresses that forward mail without revealing your true identity.
Each alias becomes a useful tracker. If one is compromised or starts receiving spam, it can simply be disabled, cutting off the problem at its source.
Aliases also reduce the fallout of data breaches. Instead of exposing your main email to countless third-party tools, scripts, and mailing platforms, an alias shields your core digital identity.
Beyond privacy, aliases encourage healthier habits. They force a pause before signing up, add structure through custom rules, and help fragment your identity, thereby lowering the risks associated with any single breach.
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Microsoft has unveiled two new AI models, marking a major step in its efforts to build its own technology rather than rely solely on OpenAI.
The first model, MAI-Voice-1, generates high-fidelity audio and supports both single and multi-speaker scenarios. Microsoft said the system can create a full minute of expressive audio in under a second on a single GPU, making it one of the fastest of its kind.
MAI-Voice-1 is already available in Copilot Daily and Podcasts, while Copilot Labs allows users to experiment with storytelling and speech demos. Microsoft sees voice as a vital interface for future AI companions.
MAI-1 Preview is currently undergoing community testing on LMArena and will soon be integrated into selected Copilot use cases. Microsoft said it plans to expand its family of specialised models, aiming to orchestrate different systems for diverse user needs.
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China has set its most ambitious AI adoption targets yet, aiming to embed the technology across industries, governance, and daily life within the next decade.
According to a new State Council directive, AI use should reach 70% of the population by 2027 and 90% by 2030, with a complete shift to what it calls an ‘intelligent society’ by 2035.
The plan would mean nearly one billion Chinese citizens regularly using AI-powered services or devices within two years, a timeline compared to the rapid rise of smartphones.
Although officials acknowledge risks such as opaque models, hallucinations and algorithmic discrimination, the policy calls for frameworks to govern ‘natural persons, digital persons, and intelligent robots’.
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Indonesia will deploy an AI-driven maritime surveillance network to combat piracy and other illegal activities across its vast waters.
The Indonesian Sea and Coast Guard Unit has signed a 10-year agreement with UK-based SRT Marine Systems for its SRT-MDA platform. The system, to be known locally as the National Maritime Security System, will integrate terrestrial, mobile and satellite surveillance with AI-powered analytics.
Fifty command posts will be digitised under the plan, enabling authorities to detect, track and predict activities from piracy to environmental violations. The deal, valued at €157.9m and backed by UK Export Finance, has been strongly supported by both governments.
Piracy remains a pressing issue in Indonesian waters, particularly in the Singapore Strait, where opportunistic thefts against slow-moving ships quadrupled in the first half of 2025 compared with last year. Analysts warn that weak deterrence and economic hardship are fuelling the rise in incidents.
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According to the IT regulator, Nigeria is preparing a national framework to guide responsible use of AI in governance, healthcare, education and agriculture.
NITDA Director General Kashifu Abdullahi told a policy lecture in Abuja that AI could accelerate economic transformation if properly harnessed. He emphasised that Nigeria’s youthful population should move from being consumers to becoming innovators and creators.
He urged stakeholders to view automation as an opportunity to generate jobs, highlighting that over 60% of Nigerians are under 25. Abdullahi described this demographic as a key asset in positioning the nation for global competitiveness.
Meanwhile, a joint report from the Digital Education Council and the Global Finance & Technology Network found that AI boosts productivity, though adoption remains uneven. It warned of a growing divide between organisations that use AI effectively and those falling behind.
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China’s Salt Typhoon cyberspies have stolen data from millions of Americans through a years-long intrusion into telecommunications networks, according to senior FBI officials. The campaign represents one of the most significant espionage breaches uncovered in the United States.
The Beijing-backed operation began in 2019 and remained hidden until last year. Authorities say at least 80 countries were affected, far beyond the nine American telcos initially identified, with around 200 US organisations compromised.
Targets included Verizon, AT&T, and over 100 current and former administration officials. Officials say the intrusions enabled Chinese operatives to geolocate mobile users, monitor internet traffic, and sometimes record phone calls.
Three Chinese firms, Sichuan Juxinhe, Beijing Huanyu Tianqiong, and Sichuan Zhixin Ruijie, have been tied to Salt Typhoon. US officials say they support China’s security services and military.
The FBI warns that the scale of indiscriminate targeting falls outside traditional espionage norms. Officials stress the need for stronger cybersecurity measures as China, Russia, Iran, and North Korea continue to advance their cyber operations against critical infrastructure and private networks.
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Law enforcement agencies increasingly leverage AI across critical functions, from predictive policing, surveillance and facial recognition to automated report writing and forensic analysis, to expand their capacity and improve case outcomes.
In predictive policing, AI models analyse historical crime patterns, demographics and environmental factors to forecast crime hotspots. However, this enables pre-emptive deployment of officers and more efficient resource allocation.
Facial recognition technology matches images from CCTV, body cameras or telescopic data against criminal databases. Meanwhile, NLP supports faster incident reporting, body-cam transcriptions and keyword scanning of digital evidence.
Despite clear benefits, risks persist. Algorithmic bias may unfairly target specific groups. Privacy concerns grow where systems flag individuals without oversight.
Automated decisions also raise questions on accountability, the integrity of evidence, and the preservation of human judgement in justice.
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