Capacity development Archives | Page 175 of 303

AI smart glasses give blind users new independence

Smart glasses powered by AI give people with vision loss new ways to navigate daily life, from cooking to crossing the street.

Users like Andrew Tutty in Ontario say the devices restore independence, helping with tasks such as identifying food or matching clothes. Others, like Emilee Schevers, rely on them to confirm traffic signals before crossing the road.

The AI glasses, developed by Meta, are cheaper than many other assistive devices, which can cost thousands. They connect to smartphones, using voice commands and apps like Be My Eyes to describe surroundings or link with volunteers.

Experts, however, caution that the glasses come with significant privacy concerns. Built-in cameras stream everything within view to large tech firms, raising questions about surveillance, data use and algorithmic reliability.

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AI and cyber priorities headline massive US defence budget bill

The US House of Representatives has passed an $848 billion defence policy bill with new provisions for cybersecurity and AI. Lawmakers voted 231 to 196 to approve the chamber’s version of the National Defence Authorisation Act (NDAA).

The bill mandates that the National Security Agency brief Congress on plans for its Cybersecurity Coordination Centre and requires annual reports from combatant commands on the levels of support provided by US Cyber Command.

It also calls for a software bill of materials for AI-enabled technology that the Department of Defence uses. The Pentagon will be authorised to create up to 12 generative AI projects to improve cybersecurity and intelligence operations.

An adopted amendment allows the NSA to share threat intelligence with the private sector to protect US telecommunications networks. Another requirement is that the Pentagon study the National Guard’s role in cyber response at the federal and state levels.

Proposals to renew the Cybersecurity Information Sharing Act and the State and Local Cybersecurity Grant Program were excluded from the final text. The Senate is expected to approve its version of the NDAA next week.

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CoreWeave scales rapidly to meet AI growth

Nvidia-backed CoreWeave says peak AI investment is still far off, as demand for compute capacity from OpenAI, hyperscalers, enterprises, and governments continues to surge. CEO Michael Intrator said CoreWeave is rapidly scaling to meet soaring global GPU demand.

CoreWeave shares have fallen around 20% despite strong market interest over the past month. The decline follows a higher-than-expected Q2 net loss, $1 billion in capital expenditure, and a projected $500 million this quarter, raising debt concerns.

Since the IPO lockup expiry, insider stock sales have added to the downward pressure.

Intrator defended the company’s strategy, describing debt as the most efficient way to fund growth. Analysts warn CoreWeave shares could stay volatile, though strong AI infrastructure demand supports long-term optimism.

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BingX introduces world’s first AI-powered crypto trading tool

BingX, a leading cryptocurrency exchange and Web3 AI company, has unveiled BingX AI Master, the world’s first AI-powered crypto trading strategist. The tool makes trading more innovative and more accessible, using AI optimisation with strategies from five leading digital investors.

BingX AI Master guides users through the entire trading process, from generating ideas to executing trades and reviewing results. Key features include 24/7 strategy ideas, instant alerts, AI backtesting, dynamic orders, and transparent performance reviews.

BingX has introduced a trading competition with a 3,000,000 USDT prize pool to mark the launch. Users can compete directly against BingX AI Master, with additional rewards from task-based lucky draws, trading volume contests, and the AI 1v1 Arena.

Founded in 2018, BingX serves over 20 million users worldwide and offers a full suite of AI-driven trading tools. The company expands its AI portfolio with BingX AI Master and AI Bingo, reinforcing its role in AI-driven crypto trading.

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Small business revival could hinge on AI-driven tools

If AI is to matter in the economy, it must first matter to small businesses. Firms employ over 61 million people, nearly half the private workforce, yet most run on outdated technology. While smartphones update monthly, many small businesses still use systems built a decade ago.

Search fund entrepreneurs bridge this gap by upgrading established firms with modern tech. One deal turned a 50-person roadside assistance firm into Asurion, now a global tech-care provider. Others have scaled compliance firms into nationwide SaaS platforms.

Generative AI now accelerates these transformations, cutting work times by over 60% across supply chains, compliance, and document processing functions. Complex tasks can now be completed in hours, unlocking double-digit productivity gains and allowing small businesses to focus on growth.

Search funds are not the only path forward. AI consulting firms, tech studios, and AI-powered roll-up strategies bring enterprise-grade tools to family-run firms. For communities that have relied on traditional playbooks, decades of growth can be compressed into months.

The cost of AI has never been lower, and the opportunity is wide open. Once deployed at scale, AI could power a wave of productivity on Main Street, helping small businesses compete and strengthening the economy for half of their workforce.

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AI and AFM deliver real-time macrophage phenotyping

Macrophages drive immune responses, including inflammation, tissue repair, and tumour growth. Identifying their polarisation states is key for diagnosis and immunotherapy, but current methods, such as RNA sequencing and flow cytometry, are expensive, slow, and unsuitable for real-time use.

Atomic force microscopy (AFM) has emerged as a powerful tool for decoding mechanobiological signatures of cells. Combined with AI, AFM data can be rapidly analysed, but macrophage phenotyping has been relatively underexplored using this approach.

Researchers led by Prof Li Yang at the Shenzhen Institutes of Advanced Technology have now developed a label-free, non-invasive method combining AFM with deep learning. The system accurately profiles human macrophage mechanophenotypes and identifies polarisation states in real-time.

The AI model was trained on well-characterised macrophage subtypes and validated using flow cytometry. Results showed that pseudovirus stimulation mainly produced M1 macrophages, with smaller populations of M2 and mixed phenotypes, closely matching the model’s predictions.

The study, published in Small Methods, offers a promising diagnostic tool that could be extended beyond macrophages to other cell types. It could support new approaches in cancer, fibrosis, and infectious disease diagnostics based on mechanophenotypes.

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NotebookLM turns notes into flashcards podcasts and quizzes

Google’s learning-focused AI tool NotebookLM has gained a major update, making studying and teaching more interactive.

Instead of offering only static summaries, it now generates flashcards that condense key information into easy-to-remember notes, helping users recall knowledge more effectively.

Reports can also be transformed into quizzes with customisable topics and difficulty, which can then be shared with friends or colleagues through a simple link.

The update extends to audio learning, where NotebookLM’s podcast-style Audio Overviews are evolving with new formats. Instead of a single style, users can now create Brief, Debate, or Critique episodes, giving greater flexibility in how material is explained or discussed.

Google is also strengthening its teaching tools. A new Blog Post format offers contextual suggestions such as strategy papers or explainers, while the ability to create custom report formats allows users to design study resources tailored to their needs.

The most significant addition, however, is the Learning Guide. Acting like a personal tutor, it promotes deeper understanding by asking open-ended questions, breaking problems into smaller steps, and adapting explanations to suit each learner.

With these features, NotebookLM is moving closer to becoming a comprehensive learning assistant, offering a mix of interactive study aids and adaptable teaching methods that go beyond simple note-taking.

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Google Cloud scraps transfer fees to win multicloud users

Google Cloud has rolled out a new Data Transfer Essentials plan, allowing customers to move workloads across multiple clouds without paying transfer fees. The move comes ahead of the EU Data Act on 12 September 2025, intended to strengthen competition across the cloud market.

Under the new rules, providers must charge data transfer fees only ‘at cost.’ While Microsoft and Amazon have already taken steps to comply, Google has gone further by removing the charge altogether.

The company said the change is aimed at supporting businesses with multicloud strategies, offering more flexibility, and reducing downtime in critical workloads.

The initiative also positions Google as more aligned with regulatory goals, particularly compared with Microsoft, which has faced scrutiny over restrictive licensing practices. Google said qualifying traffic will now be billed at zero cost, while other transfers remain charged at existing rates.

The announcement follows strong growth in Google Cloud’s business, especially from AI firms like OpenAI and Anthropic. Alphabet’s cloud contracts are valued at around $106 billion, with CEO Thomas Kurian projecting $58 billion in revenue conversion within two years.

Alphabet’s stock price rose 2.47% following the update, reaching $239.94, as investors responded positively to both growth prospects and regulatory positioning.

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Photonic chips open the path to sustainable AI by training with light

A team of international researchers has shown how training neural networks directly with light on photonic chips could make AI faster and more sustainable.

A breakthrough study, published in Nature, involved collaboration between the Politecnico di Milano, EPFL Lausanne, Stanford University, the University of Cambridge, and the Max Planck Institute.

The research highlights how physical neural networks, which use analogue circuits that exploit the laws of physics, can process information in new ways.

Photonic chips developed at the Politecnico di Milano perform mathematical operations such as addition and multiplication through light interference on silicon microchips only a few millimetres in size.

By eliminating the need to digitise information, these chips dramatically cut both processing time and energy use. Researchers have also pioneered an ‘in-situ’ training technique that enables photonic neural networks to learn tasks entirely through light signals, instead of relying on digital models.

The result is a training process that is faster, more efficient and more robust.

Such advances could lead to more powerful AI models capable of running directly on devices instead of being dependent on energy-hungry data centres.

An approach that paves the way for technologies such as autonomous vehicles, portable intelligent sensors and real-time data processing systems that are both greener and quicker.

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South Korea to grant crypto firms venture company status

South Korea will grant cryptocurrency firms ‘venture company’ status from 16 September, giving them access to tax breaks, financing support, and other incentives. The move follows a partial revision of the Venture Business Act removing restrictions on crypto trading and brokerage.

The regulatory change aims to stimulate growth in the crypto and blockchain sectors. Advantages include research and development grants, credit guarantees, and the ability for existing venture companies to expand into crypto without losing their status.

Minister Han Seong-sook said the measure will help create a transparent and responsible ecosystem for venture capital and innovation.

Crypto firms were first restricted in October 2018, and the ban’s removal reflects industry maturity and better user protections. Officials expect the change to accelerate growth in virtual asset trading, blockchain technologies, smart contracts, and cybersecurity.

South Korea’s crypto industry has already benefited from a friendlier environment under President Lee Jae-myung. The market is projected to reach $1.1 billion in revenue in 2025 and $1.3 billion by 2026, with exchange users surpassing 16 million, over 30% of the population.

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