Disney’s dream of bringing lifelike robotic characters to its theme parks is closer to reality, thanks to a new collaboration with Nvidia and Google DeepMind. At GTC 2025, Nvidia CEO Jensen Huang introduced Newton, an advanced physics engine designed to enhance how robots interact with their surroundings. The first to benefit from this technology will be Disney’s next-generation entertainment robots, including the Star Wars-inspired BDX droids, one of which made a surprise appearance on stage during Huang’s keynote.
Newton is engineered to improve the expressiveness and adaptability of robots, enabling them to handle complex tasks with greater precision. The open-source engine will allow developers to simulate interactions with real-world elements such as fabric, sand, and food, making robotic movement more natural. Nvidia confirmed that Newton will integrate seamlessly with Google DeepMind’s robotics toolkit, including MuJoCo, its multi-joint simulation engine.
Disney has long experimented with robotic characters for its theme parks, showcasing controlled demonstrations at events like SXSW. With the introduction of Newton, Disney Imagineering sees an opportunity to roll out these robots across multiple park locations starting next year. The collaboration between Nvidia, Disney, and Google DeepMind marks a major leap in entertainment robotics, promising theme park guests a more immersive and dynamic experience.
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Mark Cuban, the tech entrepreneur and investor, spoke at the SXSW conference, where he highlighted the importance of AI for small businesses. He stressed that while AI can be a valuable tool, it should never be seen as the ultimate answer to business success. Cuban explained that AI can help entrepreneurs by making it easier to start and grow businesses, answering questions, and aiding in tasks like research, emails, and sales calls. However, he cautioned against over-relying on AI.
Cuban encouraged entrepreneurs to spend time learning about AI, pointing out how much easier it is to start a business today compared to the past, thanks to the availability of AI tools and internet access. He acknowledged that AI can make mistakes and isn’t perfect, but noted that human experts can also be wrong. In creative fields, Cuban argued that while AI can help with certain tasks like video creation, it’s not a substitute for human creativity, especially when it comes to things like writing scripts or generating quality art.
The tech mogul highlighted that AI should amplify human skills, not replace them. He warned that those who neglect to use AI might find themselves at a disadvantage, as competitors who utilise AI will have the edge.
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The Metropolitan Transportation Authority (MTA) in New York City has partnered with Google Public Sector on a pilot program designed to detect track defects before they cause significant disruptions. Using Google Pixel smartphones retrofitted onto subway cars, the system captured millions of sensor readings, GPS locations, and hours of audio to identify potential problems. The project aimed to improve the efficiency of the MTA’s response to track issues, potentially saving time and money while reducing delays for passengers.
The AI-powered program, called TrackInspect, analyses the sounds and vibrations from the subway to pinpoint areas that could signal defects, such as loose rails or worn joints. Data collected during the pilot, which ran from September 2024 to January 2025, showed that the AI system successfully identified 92% of defect locations found by human inspectors. The system was trained using feedback from MTA inspectors, helping refine its ability to predict track issues.
While the pilot was considered a success, the future of the program remains uncertain due to financial concerns at the MTA. Despite this, the success of the project has sparked interest from other transit systems looking to adopt similar AI-driven technologies to improve infrastructure maintenance and reduce delays. The MTA is now exploring other technological partnerships to enhance its track monitoring and maintenance efforts.
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A new proposal by the UK government to alter copyright laws has sparked significant concern among artists, particularly in Devon. The changes would allow AI companies to use the content found on the internet, including artwork, to help train their models unless the creators opt-out. Artists like Sarah McIntyre, an illustrator from Bovey Tracey, argue that such a shift could undermine their rights, making it harder for them to control the use of their work and potentially depriving them of income.
The Devon Artist Network has expressed strong opposition to these plans, warning that they could have a devastating impact on creative industries. They believe that creators should retain control over their work, without needing to actively opt out of its use by AI. While some, like Mike Phillips from the University of Plymouth in the UK, suggest that AI could help artists track copyright violations, the majority of artists remain wary of the proposed changes.
The Department for Science, Innovation and Technology has acknowledged the concerns and confirmed that no decisions have yet been made. However, it has stated that the current copyright framework is limiting the potential of both the creative and AI sectors. As consultations close, the future of the proposal remains uncertain.
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At a conference in Hyderabad this week, pharmaceutical companies highlighted the growing role of artificial intelligence in evolving the drug development process. Companies like Amgen and Parexel showcased how AI can reduce trial times, with Parexel demonstrating a model that speeds up drug safety reports by 30-45 minutes. Industry experts believe that AI can potentially halve the costs and time needed to develop drugs, cutting down the process from over a decade to just a few years.
Beyond speeding up trials, AI is also aiding in drug discovery and medical diagnostics. For instance, AI is being used to repurpose existing drugs for new uses and to analyse medical images, potentially identifying conditions such as cancer that might be missed by human doctors. Medtronic’s CTO stressed that integrating AI across the industry is essential to its future success.
Despite these technological strides, the conference was overshadowed by ongoing uncertainty regarding US President Trump’s proposed tariffs on pharmaceutical imports. Companies, particularly those based in India, expressed concern over the potential impact of these tariffs, with some, like Dr Reddy’s, opting to take a ‘wait and watch’ approach until further clarity emerges. This tariff uncertainty remains a pressing issue for India’s pharmaceutical industry, which is a major exporter of affordable drugs to the US.
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China’s embrace of DeepSeek’s AI models has expanded beyond tech companies into everyday household appliances. The startup, based in Hangzhou, has seen a surge of support from Chinese manufacturers, with home appliance giants such as Haier, Hisense, and TCL Electronics announcing plans to incorporate DeepSeek’s AI models into their products. These appliances, already equipped with voice-activated commands, are set to become even smarter with DeepSeek’s models, which promise greater accuracy and functionality.
DeepSeek has made waves in the AI sector this year, with its large language models competing against Western systems but at a fraction of the cost. This has sparked immense pride in China, where the company is seen as a testament to the country’s growing tech capabilities in the face of US efforts to limit its advancements. The company’s founder, Liang Wenfeng, has received significant recognition from Chinese authorities, and DeepSeek is expected to soon release its next-generation R2 reasoning model.
The impact of DeepSeek’s technology is already being felt across industries. From robotics to smart appliances, its AI models offer improved precision in tasks such as obstacle avoidance in robot vacuum cleaners. These devices are expected to better understand complex commands, like ‘Gently wax the wooden floor in the master bedroom but avoid the Legos,’ making everyday life more efficient and intuitive.
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For over a century, the Rorschach inkblot test has been used to explore human psychology by revealing the hidden facets of the mind through personal interpretations of ambiguous shapes. The test leverages a phenomenon known as pareidolia, where individuals perceive patterns, such as animals or faces, in random inkblots. Now, thanks to the advances in artificial intelligence, this test has been used to explore how AI interprets these same images.
In an intriguing experiment, ChatGPT was shown five common inkblots to see how it would respond. Unlike humans, who often project their emotions or personal experiences onto the images, the AI offered more literal interpretations, identifying symmetrical shapes or common visual features. However, these responses were based purely on patterns it has been trained to recognise, rather than any true emotional connection to the inkblots.
The AI’s responses were consistent with what it had learned from vast datasets of human interpretations. But while humans might see a butterfly or a skull, the AI merely recognised a shape, demonstrating a key difference between human cognition and machine processing. This experiment highlights the unique human ability to attach emotional or symbolic meaning to abstract visuals, something AI is not equipped to replicate.
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Intel has announced that the first two of ASML’s cutting-edge high NA lithography machines are now in operation at its factories. Early data shows these machines are producing more consistent results than previous models, with a reported reliability double that of earlier systems. This marks a turning point for Intel, which had struggled with the earlier generation of extreme ultraviolet (EUV) machines.
Intel’s production of 30,000 wafers in a single quarter using these new machines signifies a substantial step forward in chip manufacturing. These high NA machines can print features onto chips with fewer exposures and less processing time, streamlining the production process and reducing costs. This development is set to contribute to Intel’s upcoming 18A manufacturing technology, expected to power a new generation of PC chips later this year.
The company is also preparing to implement the high NA machines for the next generation of 14A technology, though no mass production date has yet been confirmed. This breakthrough is seen as a pivotal moment for Intel, positioning it to reclaim ground lost to rivals in recent years.
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On Valentine’s Day in San Francisco, the NBA Tech Summit took place ahead of the NBA All-Star weekend, showcasing the latest trends in sports, media, and technology. With the help of NVIDIA CEO Jensen Huang and legendary Golden State Warriors coach Steve Kerr, the audience was introduced to the evolution of event broadcasting, companies set to make significant investments in the coming years, and the future of basketball as a sport.
The panels also included renowned basketball experts, media figures, and former NBA players. A common consensus emerged: robotics and AI will reshape the sport as we know and significantly help athletes achieve far better results than ever before.
However, this is not exactly a novelty, as many innovations were presented ahead of the Paris Olympics, where certain programmes helped analysts and audiences follow their favourite events in greater detail.
The future of the NBA and the role of fans during matches
The same idea applies to the NBA, particularly with the integration of augmented reality (AR) and a feature called ‘Tabletop’, which allows the display of a virtual court with digital avatars tracking player movements in real time.
A feature like this one generated the most interest from the audience, as it enables viewers to watch matches from various angles, analyse performances in real-time, access interactive player data, and simulate alternative outcomes—essentially exploring how the game would have unfolded if different decisions had been made on the court.
An important aspect of these innovations is that fans have the opportunity to vote for competition participants, ask real-time questions, and take part in virtual events designed to keep them engaged during and after match broadcasts.
AI plays a crucial role in these systems, primarily by analysing strategies and performances, allowing coaches and players to make better-informed decisions in key moments of the game.
Player health as a priority
With a packed schedule of matches, additional tournaments, and extensive travel, professional basketball players face daily physical challenges. To help preserve their health, new technologies aim to minimise potential injuries.
Wearable health-tracking sensors embedded in equipment to collect data on physical parameters were introduced at the NBA Summit. This technology provides medical teams with real-time insights into players’ conditions, helping prevent potential injuries.
Basketball spirit through cutting-edge technology: What did the NBA Tech Summit deliver? 11
Biometric sensors, motion-analysis accelerometers, injury-prevention algorithms, dehydration and fatigue tracking, and shoe sensors for load analysis are just some of the innovations in this field.
Ultra cameras, ultra broadcasts, ultra experience
For fans of high-resolution and interactive matches, the latest technological advancements offer new viewing experiences. While still in the final development stages, fans can already enjoy Ultra HD 8K and 360-degree cameras, along with the highly anticipated ‘player cam’ perspective, which allows for close-up tracking of individual players.
It is also possible to independently control the camera during matches, offering a complete view of the court and arena from every possible angle. Additionally, matches can be broadcast as holograms, providing a new dimension in 3D space on specialised platforms.
The integration of 5G technology ensures faster and more stable transmissions, enabling high-resolution streaming without delays.
Fewer mistakes, less stress
Refereeing mistakes have always been part of the sport, influencing match outcomes and shaping the history of one of the world’s most popular games. In response, the NBA has sought to minimise errors through Hawk-Eye technology for ball and boundary tracking.
A multi-camera system monitors the ball to determine whether it has crossed the line, touched the boundary, or shot on time. AI also analyses player contact in real time, suggesting potential fouls for referees to review.
Beyond these features, the NBA now operates a centralised Replay Centre, offering detailed analysis of controversial situations where AI plays a crucial role in providing recommendations for quicker decision-making. Additional innovations include hoop sensors, audio analysis for simulating unsportsmanlike fouls, and more.
Environmental sustainability and awareness
As an organisation reliant on cutting-edge technology, the NBA is also focused on environmental awareness, which is increasingly becoming a key aspect of the league. Modern arenas utilise solar energy, energy-efficient lighting, and water recycling systems, reducing electricity consumption and waste.
Digital tickets and contactless payments contribute to sustainability efforts, particularly through apps that enable quicker and more eco-friendly entry to arenas and access to various services.
Partnerships with environmental organisations are a crucial part of the NBA’s sustainability initiatives, with collaborations including the Green Sports Alliance and the NRDC. These efforts aim to reduce the environmental impact of events while enhancing the fan experience.
For basketball fans (and followers of other sports adopting similar advancements), the most important takeaway is that the fundamental rules and essence of the game will remain unchanged. Despite the inevitable technological progress, the core spirit of basketball, established in Springfield in 1891, will continue to be preserved.
More than 1,000 musicians have joined forces to release a silent album as part of a protest against the UK government’s proposed changes to copyright laws. The changes would allow AI companies to use artists’ work to train models without needing permission, a move critics argue would undermine creators’ rights. The silent album, titled ‘Is This What We Want?’, features empty studios and performance spaces, symbolising the potential loss of control over their work.
The changes have sparked outrage from high-profile artists such as Kate Bush, who warned that this could lead to the exploitation of musicians by tech companies. The protest album, which includes contributions from other major artists like Ed Sheeran and Dua Lipa, aims to highlight the negative impact of such reforms on the livelihoods of creators.
The UK government argues that these changes will help boost the AI and creative industries, allowing them to reach their full potential. However, the controversy over copyright law is growing, with many in the music industry urging a rethink before any new regulations are finalised.
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