The automation industry is evolving beyond Robotic Process Automation (RPA) to embrace multi-agentic AI systems capable of autonomous decision-making. Companies like Automation Anywhere are at the forefront, introducing AI Agent Studio to help enterprises streamline operations across finance, HR, IT, and customer service. These agents accelerate workflows, reduce costs, and enhance operational efficiency by up to 90%.
Automation Anywhere executives highlight how these advanced AI agents surpass earlier systems by integrating retrieval-augmented generation (RAG) with decision-making capabilities. Unlike static models, these agents learn from user interactions, ensuring adaptability and accuracy. Their blend of RAG and AI offers enterprises scalable, secure, and flexible solutions tailored to specific needs.
The shift from RPA to Agentic Process Automation (APA) marks a milestone, enabling automation of complex processes while fostering innovation and redefining job roles. With applications spanning healthcare, finance, retail, and manufacturing, AI agents are poised to disrupt industries and drive significant growth.
Jet.AI has introduced a cutting-edge AI model, ‘Ava,’ designed to revolutionise private jet bookings. Customers can communicate with Ava via phone or text to receive real-time pricing, aircraft availability, and personalised guidance. According to Jet.AI‘s founder Mike Winston, the agentic AI model offers a cost-efficient solution that enhances customer convenience while streamlining operations.
Updates to Jet.AI’s CharterGPT app accompany Ava’s launch, providing features like carbon tracking, enhanced notifications for travel updates, and deep linking for seamless access to trip details discussed with the AI. These upgrades prioritise eco-conscious decisions and user-friendly functionality.
Agentic AI, which operates autonomously to handle entire processes, is gaining momentum across industries. Intuit, for instance, plans to expand agentic AI across its platforms like TurboTax and QuickBooks through 2025, enhancing efficiency while maintaining human expert support when necessary.
Saudi Arabia’s Diriyah Gate Development Authority (DGDA) and Amazon collaborate to enhance cultural and technical engagement, focusing on enriching visitor experiences at Diriyah’s historical sites. That initiative integrates Amazon’s innovative technologies, including Alexa, to provide accessible and comprehensive cultural and historical content.
Aligned with Saudi Arabia’s Vision 2030, the collaboration aims to establish Diriyah as a global destination for culture and heritage while contributing to the tourism, cultural, and historical sectors. Additionally, the partnership supports community and economic growth by highlighting regional products, enabling local sellers to reach wider audiences through Amazon.sa, and fostering local content development.
Diriyah Gate Development Authority (DGDA) and Amazon are committed to preserving and celebrating the rich cultural heritage of Saudi Arabia. By connecting the Kingdom’s traditions and history with cutting-edge technology, they aim to create transformative experiences that resonate with visitors and strengthen Diriyah’s significance as a cultural hub on the global stage.
AI became a defining feature of the 2024 Paris Olympics. Athletes benefited from AI-driven tools like chatbots for cybersecurity and systems offering 360-degree performance replays. AI also enhanced event safety with software monitoring crowd dynamics and abandoned objects, paving the way for future global events.
Outside the Olympics, AI was integrated into consumer technology. Car manufacturers such as Volkswagen and XPeng introduced AI-assisted features, transforming vehicles into adaptive companions. Volkswagen’s ChatGPT integration enhanced in-car assistance, while XPeng’s AI-defined car promised autonomous decision-making.
Flying taxis generated excitement but failed to soar as anticipated. Despite setbacks, companies like Volocopter and Hyundai showcased designs, while Joby secured a UK license, with commercial flights expected by 2025. Tesla unveiled the Cybercab, relying solely on AI for navigation, with a 2026 market launch planned.
Smartphones and smart glasses underwent significant innovation. Bendable phones by Motorola and Lenovo offered new flexibility, and Samsung’s toughened foldable displays impressed. Meta’s neural-interface glasses broke ground but raised privacy concerns, demonstrating the balance between progress and ethics in technology.
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.
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.
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.
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.
Japanese farmers are embracing AI technology to address the challenges posed by climate change and labour shortages in agriculture. Farmers like Hiroaki Asakura in Aichi Prefecture are turning to smartphone apps that use machine learning to forecast pest outbreaks, enabling timely pesticide application. These tools help farmers optimise crop protection and reduce chemical usage, a significant step forward in modern farming.
One such app, developed by Mirai Vegetable Garden, analyses over a million pest and weather records to provide accurate predictions. For Asakura, this meant spraying pesticides earlier than usual to prevent black rot in his broccoli fields, a decision informed by the app’s warnings of rising risks. The technology, supporting crops like strawberries and tomatoes, also allows farmers to share outbreak information with neighbours for broader community protection.
These AI solutions are gaining traction nationwide. Apps developed by companies like Nihon Nohyaku Co and NTT Data CCS Corp identify over 1,100 pest species from photographs, offering farmers swift diagnosis and advice. As changing climate patterns lead to unusual pest behaviours, these innovations are vital. Japanese farmers and officials alike note that AI can bridge the gap between traditional know-how and modern challenges, ensuring sustainable crop production in the face of global warming.
Notre Dame Cathedral in Paris has reopened five years after a devastating fire left the iconic landmark in ruins. Painstakingly restored to its original grandeur, the reconstruction relied on technologies, including lasers and 3D modelling, to recreate the historic structure.
The restoration effort was supported by data from art historian Andrew Tallon’s 2015 laser scans, which captured billions of precise points across the cathedral. These scans were combined with post-fire drone footage and modern technology to create a detailed 3D model that guided the process. Companies such as Autodesk and AGP donated their expertise to ensure accuracy.
The newly restored cathedral now includes updated features such as fire suppression systems, optimised lighting, and a modernised plaza, designed with the help of 3D visualisations. Experts believe these advancements set a precedent for using technology to preserve cultural heritage and assist in disaster recovery.
Looking ahead, the detailed 3D model will help maintain Notre Dame and safeguard its legacy for generations. This project serves as a testament to the power of innovation in protecting the world’s most treasured monuments.
