AI transcription tool aims to speed up police report writing

The Washington County Sheriff’s Office in Oregon is testing an AI transcription service to speed up police report writing. The tool, Draft One, analyses Axon body-worn camera footage to generate draft reports for specific calls, including theft, trespassing, and DUII incidents.

Corporal David Huey stated that the technology is designed to provide deputies more time in the field. He noted that reports that took around 90 minutes can now be completed in 15 to 20 minutes, freeing officers to focus on policing rather than paperwork.

Deputies in the 60-day pilot must review and edit all AI-generated drafts. At least 20 percent of each report must be manually adjusted to ensure accuracy. Huey explained that the system deliberately inserts minor errors to ensure officers remain engaged with the content.

He added that human judgement remains essential for interpreting emotional cues, such as tense body language, which AI cannot detect solely from transcripts. All data generated by Draft One is securely stored within Axon’s network.

After the pilot concludes, the sheriff’s office and the district attorney will determine whether to adopt the system permanently. If successful, the tool could mark a significant step in integrating AI into everyday law enforcement operations.

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Japan targets AI leadership through new Nvidia–Fujitsu collaboration

Nvidia and Fujitsu have partnered to build an AI infrastructure in Japan, focusing on robotics and advanced computing. The project will utilise Nvidia’s GPUs and Fujitsu’s expertise to support healthcare, manufacturing, environmental work, and customer services, with completion targeted for 2030.

Speaking in Tokyo, Nvidia CEO Jensen Huang said Japan could lead the world in AI and robotics. He described the initiative as part of the ongoing AI industrial revolution, calling infrastructure development essential in Japan and globally.

The infrastructure will initially target the Japanese market but may later expand internationally. Although specific projects and investment figures were not disclosed, collaboration with robotics firm Yaskawa Electric was mentioned as a possible example.

Fujitsu and Nvidia have previously collaborated on digital twins and robotics to address Japan’s labour shortages. Both companies state that AI systems will continually evolve and adapt over time.

Fujitsu CEO Takahito Tokita said the partnership takes a humancentric approach to keep Japan competitive. He added that the companies aim to create unprecedented technologies and tackle serious societal challenges.

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US AI models outperform Chinese rival DeepSeek

The National Institute of Standards and Technology’s Centre for AI Standards and Innovation (CAISI) found AI models from Chinese developer DeepSeek trail US models in performance, cost, security, and adoption.

Evaluations covered three DeepSeek and four leading US models, including OpenAI’s GPT-5 series and Anthropic’s Opus 4, across 19 benchmarks.

US AI models outperformed DeepSeek across nearly all benchmarks, with the most significant gaps in software engineering and cybersecurity tasks. CAISI found DeepSeek models costlier and far more vulnerable to hijacking and jailbreaking, posing risks to developers, consumers, and national security.

DeepSeek models were observed to echo inaccurate Chinese Communist Party narratives four times more often than US reference models. Despite weaknesses, DeepSeek model adoption has surged, with downloads rising nearly 1,000% since January 2025.

CAISI is a key contact for industry collaboration on AI standards and security. The evaluation aligns with the US government’s AI Action Plan, which aims to assess the capabilities and risks of foreign AI while securing American leadership in the field.

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AI platforms barred from cloning Asha Bhosle’s voice without consent

The Bombay High Court has granted ad-interim relief to Asha Bhosle, barring AI platforms and sellers from cloning her voice or likeness without consent. The 90-year-old playback singer, whose career spans eight decades, approached the court to protect her identity from unauthorised commercial use.

Bhosle filed the suit after discovering platforms offering AI-generated voice clones mimicking her singing. Her plea argued that such misuse damages her reputation and goodwill. Justice Arif S. Doctor found a strong prima facie case and stated that such actions would cause irreparable harm.

The order restrains defendants, including US-based Mayk Inc, from using machine learning, face-morphing, or generative AI to imitate her voice or likeness. Google, also named in the case, has agreed to take down specific URLs identified by Bhosle’s team.

Defendants are required to share subscriber information, IP logs, and payment details to assist in identifying infringers. The court emphasised that cloning the voices of cultural icons risks misleading the public and infringing on individuals’ rights to their identity.

The ruling builds on recent cases in India affirming personality rights and sets an important precedent in the age of generative AI. The matter is scheduled to return to court on 13 October 2025.

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Alibaba shares climb to highest since 2021

Alibaba’s $250 billion rebound has turned it into China’s hottest AI stock, with analysts saying the rally may still have room to run.

The group’s US-listed shares have more than doubled this year as Beijing pushes for greater technological self-reliance. Despite the surge, the stock remains 65% below its 2020 peak, keeping valuations attractive compared with US giants like Microsoft and Amazon.

Fund managers say global investors still hold relatively minor positions in Alibaba, creating scope for further gains. Some caution remains, however, with Chinese short bets rising last month and price wars in food delivery threatening to dent margins.

Alibaba trades roughly 22 times the estimated forward earnings in Hong Kong, which is in line with the Hang Seng Tech Index but below its historic peak and US peers. Investors say its valuation looks reasonable given its AI push and improving sentiment.

Shares touched their highest level since August 2021 on Friday, standing out against declines in the broader Hong Kong market. The key test will be whether Alibaba can convert its AI ambitions into mainstream revenues.

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FRA presents rights framework at EU Innovation Hub AI Cluster workshop in Tallinn

The EU Innovation Hub for Internal Security’s AI Cluster gathered in Tallinn on 25–26 September for a workshop focused on AI and its implications for security and rights.

The European Union Agency for Fundamental Rights (FRA) played a central role, presenting its Fundamental Rights Impact Assessment framework under the AI Act and highlighting its ongoing project on assessing high-risk AI.

A workshop that also provided an opportunity for FRA to give an update on its internal and external work in the AI field, reflecting the growing need to balance technological innovation with rights-based safeguards.

AI-driven systems in security and policing are increasingly under scrutiny, with regulators and agencies seeking to ensure compliance with EU rules on privacy, transparency and accountability.

In collaboration with Europol, FRA also introduced plans for a panel discussion on ‘The right to explanation of AI-driven individual decision-making’. Scheduled for 19 November in Brussels, the session will form part of the Annual Event of the EU Innovation Hub for Internal Security.

It is expected to draw policymakers, law enforcement representatives and rights advocates into dialogue about transparency obligations in AI use for security contexts.

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Mexico drafts law to regulate AI in dubbing and animation

The Mexican government is preparing a law to regulate the use of AI in dubbing, animation, and voiceovers to prevent unauthorised voice cloning and safeguard creative rights.

Working with the National Copyright Institute and more than 128 associations, it aims to reform copyright legislation before the end of the year.

The plan would strengthen protections for actors, voiceover artists, and creative workers, while addressing contract conditions and establishing a ‘Made in Mexico’ seal for cultural industries.

A bill that is expected to prohibit synthetic dubbing without consent, impose penalties for misuse, and recognise voice and image as biometric data.

Industry voices warn that AI has already disrupted work opportunities. Several dubbing firms in Los Angeles have closed, with their projects taken over by companies specialising in AI-driven dubbing.

Startups such as Deepdub and TrueSync have advanced the technology, dubbing films and television content across languages at scale.

Unions and creative groups argue that regulation is vital to protect both jobs and culture. While AI offers efficiency in translation and production, it cannot yet replicate the emotional depth of human performance.

The law is seen as the first attempt of Mexico to balance technological innovation with the rights of workers and creators.

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Lincoln Lab launches most powerful AI supercomputer at US university

Lincoln Laboratory has unveiled TX-GAIN, the most powerful AI supercomputer at any US university. Optimised for generative AI, the system ranks on the TOP500 list and significantly boosts research across the MIT campus.

Equipped with more than 600 NVIDIA GPU accelerators, TX-GAIN delivers two AI exaflops of peak performance. Researchers are using it to advance biodefence, protein modelling, weather analysis, network security, and new materials development.

Generative AI applications go beyond large language models, with teams at Lincoln Laboratory exploring radar evaluation, chemical interactions, and anomaly detection in digital systems. The laboratory’s design lets researchers access vast computing power without needing expertise in parallel programming.

TX-GAIN is also supporting collaborations with MIT institutions and the US military, including projects in quantum engineering, space operations, and AI-driven flight scheduling. The system in an energy-efficient Massachusetts facility continues the lab’s supercomputing tradition.

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Atlantic Quantum joins Google Quantum AI to advance scalable quantum hardware

Google Quantum AI has taken a major step in its pursuit of error-corrected quantum computing by integrating Atlantic Quantum, an MIT spin-out focused on superconducting hardware.

The move, while not formally labelled an acquisition, effectively brings the startup’s technology and talent into Google’s programme, strengthening its roadmap toward scalable quantum systems.

Atlantic Quantum, founded in 2021, has worked on integrating qubits with superconducting control electronics in the same cold stage.

A modular chip stack that promises to simplify design, reduce noise, and make scaling more efficient. Everything is equally important to build machines capable of solving problems beyond the reach of classical computers.

Google’s Hartmut Neven highlighted the approach as a way to accelerate progress toward large, fault-tolerant devices.

The startup’s journey, from MIT research labs to Google integration, has been rapid and marked by what CEO Bharath Kannan called ‘managed chaos’.

The founding team and investors were credited with pushing superconducting design forward despite the immense challenges of commercialising such cutting-edge technology.

Beyond hardware, Google gains a strong pool of engineers and researchers, enhancing its competitive edge in a field where rivals include IBM and several well-funded scale-ups.

A move that reflects a broader industry trend where research-heavy startups are increasingly folded into major technology firms to advance long-term quantum ambitions. With governments and corporations pouring resources into the race, consolidation is becoming common.

For Atlantic Quantum, joining Google ensures both technological momentum and access to resources needed for the next phase. As co-founder Simon Gustavsson put it, the work ‘does not stop here’ but continues within Google Quantum AI’s effort to deliver real-world quantum applications.

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AWS expands tech skills programme to Tennessee

Amazon Web Services (AWS) is expanding its Skills to Jobs Tech Alliance to Tennessee, making it the sixth US state to join the initiative. The partnership with the Nashville Innovation Alliance targets middle Tennessee’s rising demand for AI and cloud computing talent.

Between 2020 and 2023, tech job postings in the region increased by 35 percent, with around 8,000 roles currently open.

The programme will link students from local universities with employers and practical learning opportunities. Courses will be modernised to meet industry demand, ensuring students gain relevant AI and cloud expertise.

Local leaders emphasised the initiative’s potential to strengthen Nashville’s workforce. Mayor Freddie O’Connell stressed preparing residents for tech careers, while AWS and the Alliance aim to create sustainable pathways to high-paying roles.

The Tech Alliance has already reached 62,000 learners globally and engaged over 780 employers. Tennessee’s expansion aims to reach over 1,000 residents by 2027, with further statewide growth planned to boost Nashville’s role as a southeastern tech hub.

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