Digimasters Shorts - Google Gemini’s Interactive AI, Warner Music and Suno Settle AI Music Lawsuit, Adobe Launches Project Graph for Creatives, AI Detects Stress from CT Scans, MIT Unveils Game-Changing Protein Design AI BoltzGen

Welcome to Digimasters Shorts, your quick source for the latest updates in the digital and tech worlds. Hosted by Adam Nagus and Carly Wilson, this podcast delivers concise insights on groundbreaking AI innovations, advancements in music technology, creative tools from Adobe, medical breakthroughs driven by AI, and new frontiers in biotech research. Stay informed with our brief episodes highlighting the most exciting trends and developments shaping the future of digital innovation. Whether you're a tech enthusiast, a creator, or just curious about the digital realm, Digimasters Shorts keeps you in the know—fast and focused.

Transcript

Adam N2: 0:05

Welcome to Digimasters Shorts, we are your hosts Adam Nagus

Carly W: 0:09

and Carly Wilson delivering the latest scoop from the digital realm. Google's upcoming AI, Gemini, set to replace Google Assistant next year, is introducing interactive images to enhance user learning experiences. This new feature allows users to explore detailed information within images by clicking on labeled parts, making it especially useful for students. For instance, in a plant cell image, clicking the"Mitochondrion" label reveals its function as the"powerhouse of the cell." The interactive images open in a dedicated space on the right side of the screen, enabling deeper study without manual searches. Although not present in every response, this feature aims to provide clearer and more engaging explanations. Currently, the rollout of interactive images is gradual, so some users may need to wait before accessing it. Once widely available, it promises to integrate Gemini more effectively into educational and everyday inquiries. Users can close the interactive window to ask further questions seamlessly. This advancement reflects Google's commitment to making Gemini a versatile AI companion across devices. Feedback from users will likely shape the feature’s future development.

Adam N2: 1:18

Warner Music Group has launched a new artificial intelligence music venture with tech start-up Suno, following a legal dispute between the two companies. Under their settlement, Suno users can now create AI-generated music using the voices, names, and likenesses of artists who opt into the program. Warner, representing top names like Dua Lipa and Ed Sheeran, had previously sued Suno alongside Sony Music and Universal Music Group, accusing the platforms of unauthorized copying. The lawsuit claimed the AI-generated tracks were indistinguishable from original songs, labeling the practice as"wholesale theft." Starting next year, Suno will introduce advanced, licensed AI models requiring payment for audio downloads, while free-tier content remains accessible. Warner calls the partnership a groundbreaking move that opens new creative possibilities while ensuring artists are fairly compensated. Artists and songwriters will maintain control over how their identities and work are used in AI creations. The controversy surrounding AI in music has drawn criticism from hundreds of artists, including Billie Eilish and Nicki Minaj, concerned about the impact on human creativity. Supporters argue AI mimics human learning through exposure to existing works. This evolving landscape highlights the ongoing debate over copyright and innovation in the music industry.​At Adobe's MAX conference in Los Angeles, the company unveiled Project Graph, a groundbreaking AI system aimed at giving users greater control over creative workflows. Project Graph transforms complex processes into user-friendly interfaces called"capsules" and integrates tools from across Adobe's Creative Cloud, including Photoshop, Illustrator, and Premiere Pro. Beyond Adobe's own software, Project Graph also taps into third-party AI models from partners like Google and Open A.I. This enables users to create node-based workflows that can be packaged into simple, streamlined tools. James Ratliff, Venture Lead for Project Graph, highlighted the tool's goal to move away from basic AI prompting toward more sophisticated, professional creative tools. The project originated from Adobe Incubator, a program that fosters innovation by allowing small teams to develop new products internally. Eric Snowden, Adobe's SVP of Design, emphasized how Project Graph unlocks the power of combining features from different Adobe apps to tailor tools to specific creative needs. The system promises flexibility for various professionals, from motion designers to photographers, to build and reuse customized workflows across the Adobe ecosystem. Project Graph is expected to enter public beta soon, with users able to sign up for updates. This announcement has been hailed as one of Adobe’s most exciting steps toward enhancing creative freedom and control through AI.

Carly W: 4:03

A new study reveals that artificial intelligence can now detect chronic stress by analyzing routine chest CT scans. Scientists developed a deep learning model that measures the size of adrenal glands, which regulate hormones linked to stress responses. The research, involving nearly 3,000 patients, combined CT scans with stress surveys and health data for comprehensive analysis. Patients experiencing chronic stress showed enlarged adrenal glands, increased cortisol levels, and a higher risk of heart failure. This discovery offers the first objective and scalable method to assess the long-term impact of stress on the body. Previously, stress measurement relied on questionnaires or complex biomarkers, making evaluation difficult. Radiology experts describe the adrenal glands as a biological barometer for chronic stress. The AI model allows clinicians to visually assess stress effects using scans already performed in hospitals. This advancement may help identify diseases linked to stress, particularly in older adults. The findings will be presented at the upcoming Radiological Society of North America meeting. More than 300 attendees from academia and industry gathered at M.I.T on October 30 for a seminar unveiling BoltzGen, a groundbreaking AI model in protein design. Developed by M.I.T PhD student Hannes Stärk and his team at the Jameel Clinic, BoltzGen extends previous models by not only predicting protein binding affinity but generating novel protein binders ready for drug discovery. The model’s innovations include multi-task capabilities, physics-informed constraints based on wetlab feedback, and rigorous testing on challenging"undruggable" targets. Unlike conventional models limited to familiar protein structures, BoltzGen performs well on diverse and novel binding challenges. Validation across eight wetlabs demonstrated its promising potential for accelerating therapeutic development. Industry collaborators like Parabilis Medicines have expressed optimism about integrating BoltzGen into existing drug platforms. The open-source release of BoltzGen signals a shift in biotech, challenging companies to rethink proprietary offerings. Experts highlight BoltzGen’s role in addressing unsolved problems in drug design, emphasizing its community-wide impact. The developers foresee AI-driven biomolecular design revolutionizing medicine by enabling novel solutions to disease. BoltzGen represents a major leap toward harnessing AI to reimagine biology and therapeutics.

Don: 6:31

Thank you for listening to today's AI and Tech News podcast summary... Please do leave us a comment and for additional feedback, please email us at podcast@digimasters.co.uk You can now follow us on Instagram and Threads by searching for@DigimastersShorts or Search for Digimasters on Linkedin. Be sure to tune in tomorrow and don't forget to follow or subscribe!