Kyoto University and construction firm Kajima Corp are collaborating on a groundbreaking project to develop a lunar habitat, ‘Neo Lunar Glass,’ capable of generating artificial gravity through rotation. The structure, intended to address the harmful effects of microgravity on the human body, is designed to create Earth-like living conditions on the moon.
The habitat will be a 200-metre-wide, 400-metre-tall paraboloid structure, accommodating up to 10,000 residents. Researchers plan to construct a ground-based prototype by the 2030s, using models and simulations to refine the technology.
The project aims to revolutionise lunar colonisation and human survivability in space, with a scale model already unveiled and early simulations demonstrating artificial gravity’s feasibility.
Researchers at the University of Toronto claim to have demonstrated ‘negative time’ through quantum experiments involving light and matter interactions. The phenomenon, where events appear to occur before their cause, challenges conventional perceptions of time. While previous theories dismissed such results as illusions, the team measured interactions between photons and atoms, finding durations that defy standard understanding.
The experiments, led by Daniela Angulo, required precise laser calibration to ensure accuracy. Researchers clarified that ‘negative time’ does not imply time travel but highlights quantum mechanics’ probabilistic nature. The findings do not breach Einstein’s theory of relativity, as no information travelled faster than light.
The concept has sparked global debate. Some critics argue it reflects phase shifts in photons rather than true temporal reversal. Despite controversy, the researchers see their work as a step toward uncovering quantum mysteries, though practical applications remain speculative.
Ireland’s burgeoning data centre industry, dominated by global tech firms like Google and Amazon, is consuming over 20% of the nation’s electricity. Rising demand has led to restrictions on new developments near Dublin until 2028, as regulators address concerns over energy use, emissions, and household electricity costs.
Efforts to expand data centres into rural areas like County Offaly promise economic opportunities but raise environmental and cultural preservation debates. Residents remain divided over renewable energy projects linked to these facilities.
As Ireland navigates energy and climate goals, questions linger about balancing technological growth with sustainability.
Apple has requested to participate in the US antitrust trial against Google, arguing it cannot trust Google to safeguard their shared revenue agreements. These agreements make Google the default search engine on Apple’s Safari browser, generating an estimated $20 billion for Apple in 2022. Despite this lucrative partnership, Apple confirmed it has no plans to develop its search engine, regardless of the trial’s outcome.
The Department of Justice’s case against Google is a pivotal effort to curb the tech giant’s dominance in online search. Prosecutors allege that Google’s practices stifle competition and may push for drastic measures such as divesting its Chrome browser or Android operating system. Apple, aiming to protect its financial interests, plans to present witnesses in the April trial.
While Google has proposed easing its default agreements with browser developers and device manufacturers, it has resisted ending its ad revenue-sharing deals. Apple criticised Google’s ability to represent its interests as the trial escalated into a broader challenge to Google’s business model. A Google spokesperson declined to comment on the case.
If AI was the buzzword for 2023 and 2024, quantum computing looks set to claim the spotlight in the years ahead. Despite growing interest, much remains unknown about this transformative technology, even as leading companies explore its immense potential.
Quantum computing and AI stand as two revolutionary technologies, each with distinct principles and goals. Quantum systems operate on the principles of quantum mechanics, using qubits capable of existing in multiple states simultaneously due to superposition. Such systems can address problems far beyond the reach of classical computers, including molecular simulations for medical research and complex optimisation challenges.
AI and quantum computing intersect in areas like machine learning, though AI still depends on classical computing infrastructure. Significant hurdles remain for quantum technology, including qubit errors and scalability. The extreme sensitivity of qubits to external factors, such as vibrations and temperature, complicates their control.
Experts suggest quantum computers could become practical within 10 to 20 years. Classical computers are unlikely to be replaced, as quantum systems will primarily focus on solving tasks beyond classical capabilities. Leading companies are working to shorten development timelines, with advancements poised to transform the way technology is utilised.
Huge investments in quantum computing
Investments in quantum computing have reached record levels, with start-ups raising $1.5 billion across 50 funding rounds in 2024. Figure like this one nearly doubles the $785 million raised the previous year, setting a new benchmark. The growth in AI is partly driving these investments, as quantum computing promises to handle AI’s significant computational demands more efficiently.
Quantum computing offers unmatched speed and energy efficiency, with some estimates suggesting energy use could be reduced by up to 100 times compared to traditional supercomputers. As the demand for faster, more sustainable computing grows, quantum technologies are emerging as a key solution.
Microsoft and Atom Computing announce breakthrough
In November 2024, Microsoft and Atom Computing achieved a milestone in quantum computing. Their system linked 24 logical qubits using just 80 physical qubits, setting a record in efficiency. This advancement could transform industries like blockchain and cryptography by enabling faster problem-solving and enhancing security protocols.
Despite the challenges of implementing such systems, both companies are aiming to release a 1,000-qubit quantum computer by 2025. The development could accelerate the adoption of quantum technologies across various sectors, paving the way for breakthroughs in areas such as machine learning and materials science.
Overcoming traditional computing’s limitations
Start-ups like BlueQubit are transforming quantum computing into a practical tool for industries. The San Francisco-based company has raised $10 million to launch its Quantum-Software-as-a-Service platform, enabling businesses to use quantum processors and emulators that perform tasks up to 100 times faster than conventional systems.
Industries such as finance and pharmaceuticals are already leveraging quantum optimisation. Specialised algorithms are addressing challenges like financial modelling and drug discovery, showcasing quantum computing’s potential to surpass traditional systems in tackling complex problems.
Google among giants pushing quantum computing
Google has recently introduced its cutting-edge quantum chip, Willow, capable of solving a computational problem in just five minutes. Traditional supercomputers would require approximately 10 septillion years for the same task.
The achievement has sparked discussions about quantum computing’s link to multiverse theories. Hartmut Neven, head of Google’s Quantum AI team, suggested the performance might hint at parallel universes influencing quantum calculations. Willow’s success marks significant advancements in cryptography, material science, and artificial intelligence.
Commercialisation is already underway
Global collaborations are fast-tracking quantum technology’s commercialisation. SDT, a Korean firm, and Finnish start-up SemiQon have signed an agreement to integrate SemiQon’s silicon-based quantum processing units into SDT’s precision measurement systems.
SemiQon’s processors, designed to work with existing semiconductor infrastructure, lower production costs and enhance scalability. These partnerships pave the way for more stable and cost-effective quantum systems, bringing their use closer to mainstream industries.
Quantum technologies aiding mobile networks
Telefonica Germany and AWS are exploring quantum applications in mobile networks. Their pilot project aims to optimise mobile tower placement, improve network security with quantum encryption, and prepare for future 6G networks.
Telefonica’s migration of millions of 5G users to AWS cloud infrastructure demonstrates how combining quantum and cloud technologies can enhance network efficiency. The project highlights the growing impact of quantum computing on telecommunications.
Addressing emerging risks
Chinese researchers at Shanghai University have exposed the potential threats quantum computing poses to existing encryption standards. Using a D-Wave quantum computer, they breached algorithms critical to modern cryptographic systems, including AES-256, commonly used for securing cryptocurrency wallets.
Although current quantum hardware faces environmental and technical limitations, researchers stress the urgent need for quantum-resistant cryptography. New encryption methods are essential to safeguard digital systems against future quantum-based vulnerabilities.
Quantum computing promises revolutionary capabilities but must overcome significant challenges in scaling and stability. Its progress depends on interdisciplinary collaboration in physics, engineering, and economics. While AI thrives on rapid commercial investment, quantum technology requires long-term support to fulfil its transformative potential.
Google contractors improving the Gemini AI model have been tasked with comparing its responses against those of Anthropic’s Claude, according to internal documents reviewed by TechCrunch. The evaluation process involves scoring responses on criteria such as truthfulness and verbosity, with contractors given up to 30 minutes per prompt to determine which model performs better. Notably, some outputs identify themselves as Claude, sparking questions about Google’s use of its competitor’s model.
Claude’s responses, known for emphasising safety, have sometimes refused to answer prompts deemed unsafe, unlike Gemini, which has faced criticism for safety violations. One such instance involved Gemini generating responses flagged for inappropriate content. Despite Google’s significant investment in Anthropic, Claude’s terms of service prohibit its use to train or build competing AI models without prior approval.
A spokesperson for Google DeepMind stated that while the company compares model outputs for evaluation purposes, it does not train Gemini using Anthropic models. Anthropic, however, declined to comment on whether Google had obtained permission to use Claude for these tests. Recent revelations also highlight contractor concerns over Gemini producing potentially inaccurate information on sensitive topics, including healthcare.
A groundbreaking study from the University of Toronto has demonstrated the existence of ‘negative time’ through advanced quantum experiments. While once dismissed as an illusion caused by light waves interacting with matter, researchers now argue it is a real and measurable phenomenon. The findings, though not yet peer-reviewed, have sparked global interest and scepticism.
Led by Daniela Angulo, the research focused on how photons interact with atoms, showing that the duration atoms remain in an excited state can be less than zero. Visualised as cars exiting a tunnel before they seemingly enter, the experiments suggest a counterintuitive quirk of quantum mechanics, challenging conventional perceptions of time but adhering to Einstein’s theories of relativity.
The study required over two years of meticulous work to fine-tune experimental conditions. Aephraim Steinberg, a quantum physics professor, emphasised that the results do not imply time travel or backward motion of particles but rather an intriguing aspect of how quantum particles behave.
Critics, including German physicist Sabine Hossenfelder, argue the concept is a descriptive tool rather than a revelation about time itself. Despite the controversy, the team stands by their findings, believing it provides a fresh lens to study quantum phenomena, even if practical applications remain distant.
Greek authorities have made their first-ever cryptocurrency seizure, confiscating 273,000 USDT (Tether) as part of a criminal investigation. The operation, conducted in December, was carried out under the supervision of the Greek European Public Prosecutor’s Office and involved collaboration with various law enforcement departments, including the Digital Evidence Examination Department.
The seizure, which is part of the ongoing ‘Admiral’ operation, highlights the growing challenges law enforcement faces in dealing with advanced technologies like blockchain and cryptocurrencies. Cryptocurrencies, known for their anonymity and security features, are often used in criminal activities such as fraud and money laundering. Experts stress the need for precision and expertise in handling digital assets, as mistakes can lead to irreversible losses.
Crypto-related scams are becoming more common in Greece, with many victims falling prey to fraudulent schemes. As cryptocurrencies gain popularity, particularly with the rise of Bitcoin and NFTs, the lack of understanding among the public increases the risk of scams. Experts warn that technological advances in AI are making these scams harder to detect, even for experienced investors.
In addition to combating fraud, authorities are also focusing on the management of seized cryptocurrencies, with plans to convert them into funds for the state, similar to practices in other European countries.
As Germany prepares for national elections on February 23, political parties are outlining their tech policy priorities, including digitalisation, AI, and platform regulation. Here’s where the leading parties stand as they finalise their programs ahead of the vote.
The centre-right CDU, currently leading in polls with 33%, proposes creating a dedicated Digital Ministry to streamline responsibilities under the Ministry of Transport. The party envisions broader use of AI and cloud technology in German industry while simplifying citizen interactions with authorities through digital accounts.
Outgoing Chancellor Olaf Scholz’s SPD, polling at 15%, focuses on reducing dependence on US and Chinese tech platforms by promoting European alternatives. The party also prioritises faster digitalisation of public administration and equitable rules for regulating AI and digital platforms, echoing EU-wide goals of tech sovereignty and security.
The Greens, with 14% support, highlight the role of AI in reducing administrative workloads amid labour shortages. They stress the need for greater interoperability across IT systems and call for an open-source strategy to modernise Germany’s digital infrastructure, warning that the country lags behind EU digitalisation targets.
The far-right AfD, projected to secure 17%, opposes EU platform regulations like the Digital Services Act and seeks to reverse Germany’s adoption of the NetzDG law. The party argues these measures infringe on free speech and calls for transparency in funding non-state actors and NGOs involved in shaping public opinion.
The parties’ contrasting visions set the stage for significant debates on the future of technology policy in Germany.
Hyundai has dissolved its Semiconductor Strategy Office, signalling a strategic shift in its in-house chip ambitions. Established in 2022, the office was a key part of the company’s plans for autonomous vehicle technology but has now been integrated into other divisions, including the Advanced Vehicle Platform and procurement departments. Vice President Jae-Seok Chae, who led the office, also stepped down as part of the reorganisation.
The move reflects Hyundai’s effort to streamline operations and enhance synergy, though it marks a significant challenge for its plans to develop in-house autonomous driving chips. The company has relied heavily on Mobileye’s ADAS chips while facing competition from industry leaders such as Tesla, NVIDIA, and Qualcomm.
Reports suggest Hyundai is reassessing its semiconductor projects, with one major autonomous driving chip programme under review. Alternatives could include collaborating with AI firm Tenstorrent or outsourcing chip production to Samsung, potentially using the tech giant’s 5-nm-based SF5A process.
Hyundai’s reshuffle highlights the growing pressure on automakers to innovate in the autonomous vehicle market while managing cost and resource challenges. Future developments may determine whether the company continues in-house efforts or pivots entirely to external partnerships.
