A team from Johns Hopkins and Stanford has trained robotic systems to perform surgical tasks with human-like precision. Using a da Vinci Surgical System, the researchers applied ‘imitation learning,’ where robots observe recorded surgical videos to replicate complex movements like suturing and tissue manipulation. This innovative method eliminates the need for manual programming and allows robots to learn from the combined expertise of skilled surgeons.
The AI-powered system combines imitation learning with advanced machine learning techniques, enabling it to convert visual data into precise robotic actions. Not only does it perform surgical tasks proficiently, but it can also self-correct in real time, such as retrieving a dropped needle without human intervention. Such adaptability could reduce complications and enhance patient outcomes.
This breakthrough accelerates the path toward autonomous robotic surgery. Researchers believe robots can now learn new procedures in days rather than months. While full autonomy in surgery remains a future goal, this advancement marks a significant step toward safer and more accessible healthcare worldwide.
The PongBot, a cutting-edge AI-powered tennis robot, is revolutionising solo tennis practice. Unlike traditional ball machines, this smart device uses a clip-on sensor to track your court position and adjusts its shots in real-time. Whether you’re a beginner or a seasoned player, it simulates match conditions by varying ball speed, spin, and placement, offering a dynamic training experience anytime.
Players can personalise their sessions via the PongBot app, which features up to 300 preprogrammed drills and custom sequences. With speeds of up to 80 mph and an eight-hour battery life, the AI robot provides intense training tailored to skill level. Advanced AI match training makes it feel like playing against a real opponent, pushing players to improve their game.
Initially funded through a wildly successful Kickstarter campaign, the PongBot comes in two models priced at $699 and $899. With seamless integration with smart devices like Apple Watch and support from tech giant Qualcomm, this high-tech training partner is set to ship in December, perfect for off-season practice.
Artificial intelligence is reshaping agriculture in the United States, offering solutions to longstanding challenges like labor shortages and rising costs. With US farms dwindling from 6.8 million in the 1930s to just 1.9 million in 2023, AI-powered technologies are stepping in to improve crop yields, resource efficiency, and food production. Experts emphasise AI’s ability to analyse massive amounts of data, guiding decisions on irrigation, fertilisation, and pest control to maximise productivity.
Despite its potential, adoption remains limited, with only 27% of US farmers currently using emerging technologies like AI. However, investment is projected to grow significantly, from $2B in 2024 to over $5B by 2028. Researchers at institutions like the AI Institute for Next Generation Food Systems are exploring applications from robotics to controlled indoor environments, which enable year-round farming and climate adaptability for crops like grapes.
While high upfront costs and accessibility remain hurdles, proponents believe AI can accelerate agricultural innovation and foster collaboration among farmers. By combining advanced tools and shared data, AI could help build a more sustainable food system and support the delivery of fresh, nutritious produce to underserved areas.
Uber is expanding its gig worker ecosystem with a new initiative aimed at data labeling and AI annotation. The new division, called Scaled Solutions, provides services not only for Uber’s internal needs but also for outside clients like self-driving car company Aurora Innovation and game developer Niantic. This move highlights Uber’s effort to diversify beyond its core ride-hailing and delivery businesses.
The company has started recruiting contractors across multiple countries, including the US, Canada, and India. Scaled Solutions aims to tap into the booming demand for data annotation services, a critical component for training AI models. The initiative positions Uber in a growing market dominated by companies like Scale AI, which recently secured a $1B funding round at a $13.8B valuation.
Uber’s entry into data labeling reflects its push to stay competitive in the rapidly evolving AI world. By leveraging its gig workforce model, the company could establish a foothold in this high-demand sector while diversifying its revenue streams.
Zoom, once synonymous with video conferencing during the pandemic, is pivoting to redefine itself as an ‘AI-first work platform for human connection.’ The company has dropped ‘Video’ from its name, now operating as Zoom Communications Inc., as part of its broader strategy to move beyond video services and compete with tech giants like Google, Microsoft, and Slack.
Amid declining growth following its pandemic-era boom, Zoom has expanded its offerings to include a comprehensive suite of tools under its Zoom Workplace solution, featuring team chat, email, and productivity apps. CEO Eric Yuan envisions AI as the cornerstone of this transformation, with tools designed to automate routine tasks and create ‘digital twins’ for users, freeing up time and enabling a four-day workweek.
In October, Zoom introduced its upgraded AI companion, which offers advanced summarisation and assistance capabilities. Yuan emphasises that leveraging AI for smarter, hybrid work solutions will be critical to keeping Zoom relevant as workers return to offices and competition in the enterprise software market intensifies.
Actor and filmmaker Ben Affleck has weighed in on the ongoing debate over AI in the entertainment industry, arguing that AI poses little immediate threat to actors and screenwriters. Speaking to CNBC, Affleck stated that while AI can replicate certain styles, it lacks the creative depth required to craft meaningful narratives or performances, likening it to a poor substitute for human ingenuity.
Affleck, co-founder of a film studio with fellow actor Matt Damon, expressed optimism about AI’s role in Hollywood, suggesting it might even generate new opportunities for creative professionals. However, he raised concerns about its potential impact on the visual effects industry, which could face significant disruptions as AI technologies advance.
Strikes by Hollywood unions last year highlighted fears that AI could replace creative talent. Affleck remains sceptical of such a scenario, maintaining that storytelling and human performance remain uniquely human domains that AI is unlikely to master soon.
Donald Trump’s potential return to the White House is viewed as a positive development for India‘s IT services sector, according to Wipro Executive Chairman Rishad Premji. Speaking at an event in Bengaluru, Premji noted that Trump’s ‘pro-business and pro-growth’ policies, including lower taxes and fewer regulations, could encourage greater spending by corporate clients. This comes after challenging quarters for Indian IT firms, with clients cutting back on discretionary projects due to global economic uncertainty.
Premji also highlighted the need for caution regarding inflation, tariffs, and potential changes in United States immigration policies, particularly H-1B visas, which are crucial for Indian IT workers. The US account for a significant portion of the sector’s revenue. Stricter outsourcing rules could pose challenges, but analysts remain optimistic about overall growth.
JPMorgan analysts echoed this sentiment, stating that extended US corporate tax benefits could boost technology spending, further benefiting Indian IT companies. The sector will monitor Trump’s policies closely for long-term impact.
Samsung has teamed up with Google and Qualcomm to develop advanced AI-powered smart glasses, set for release in Q3 2025. Initial production will feature 500,000 units, targeting a competitive edge over existing options like Meta’s and Ray-Ban’s smart glasses. Equipped with AI and augmented reality (AR) technologies, the glasses promise enhanced interactivity and user experiences.
The device boasts Qualcomm’s AR1 chip for performance and NXP’s auxiliary processor for added computing. High-resolution imaging is ensured with a 12MP Sony IMX681 camera, supporting superior video and image capture. Lightweight at 50 grams, it offers features like gesture and human recognition, QR-based payments, and extended use powered by a 155mAh battery.
Google’s Gemini large language model will integrate into the software, delivering smarter user interactions and contextual understanding. Samsung disclosed the development during its earnings report, with analysts expecting a possible showcase at the January Galaxy Unpacked event, alongside the Galaxy S25.
Market excitement grows as Samsung enters the competitive smart glasses arena, setting a high standard for innovation and functionality. Observers anticipate a significant shift in wearable technology driven by AI and AR advancements.
London-based startup Tessl has raised $125 million in funding, achieving a valuation exceeding $500 million. Led by founder and CEO Guy Podjarny, the company aims to address challenges in managing software created by both humans and AI. Podjarny, known for his work with Snyk and Akamai, brings deep industry expertise in software security and scalability to this new venture.
Tessl plans to launch its AI-driven platform early next year, designed to simplify code creation and maintenance. The system will enable developers and non-technical team members to provide specifications in natural language or code, with Tessl generating code to meet those requirements. This approach allows users to test and adjust code in a secure sandbox environment before it’s deployed, with the AI automatically identifying and fixing potential issues to keep software running smoothly.
The platform is envisioned as open and adaptable, intended to work alongside other AI coding assistants. This flexibility has attracted significant investor interest, with Index Ventures, Accel, GV, and Boldstart among the backers. Tessl will initially support Java, Javascript, and Python, with plans to expand to more languages over time.
The name ‘Tessl’ reflects its goal of creating a seamless ‘tessellation’ of code, preventing overlaps and inconsistencies that often arise in software development. By streamlining the code lifecycle, Tessl aims to alleviate the increasing complexity in software engineering, particularly as AI-generated code continues to proliferate.
YouTube is testing an AI-driven feature allowing select creators to remix songs by describing desired stylistic changes. This builds on its Dream Track toolset, which debuted last year and lets users generate AI-based tracks using artist vocals. The new feature, ‘Restyle a track,’ enables creators to transform a song’s genre or mood, producing 30-second snippets for Shorts while preserving the original’s essence.
The tool uses Google DeepMind’s Lyria model and ensures proper crediting of the original music. YouTube has partnered with Universal Music Group to compensate artists and rights holders, addressing potential concerns from the music industry. Creators participating in the trial can experiment with a limited selection of tracks under this system.
This development follows a growing trend of platforms enabling AI-generated music customisation. YouTube’s approach highlights its commitment to both creative innovation and maintaining industry standards. Competitors like Hook, an app for remixing music, are also exploring similar functionalities for short-form video content.
