Just as the Renaissance illuminated art and knowledge, the AI revolution is reshaping the digital world—transforming data into creativity, automating the ordinary, and redefining the limits of possibility.?
Dive into the latest AI news and see how the AI is transforming industries, enhancing storytelling, and driving digital innovation.
- LinkedIn launches its first AI agent to take on the role of job recruiters
- LinkedIn has launched "Hiring Assistant," its first AI agent designed to streamline recruitment tasks for professionals, particularly recruiters. This new tool can draft job descriptions, source candidates, and engage with potential hires, aiming to handle repetitive tasks so recruiters can focus on impactful parts of their roles. Currently in use by select enterprise customers, LinkedIn plans to expand access soon. The AI agent leverages LinkedIn’s extensive user data and integrates with third-party systems to optimize candidate sourcing based on skills, not just traditional criteria. Microsoft’s partnership with OpenAI has driven LinkedIn’s recent AI-powered tool releases, including learning coaches and job-search assistants, making AI an integral part of its platform. LinkedIn aims to improve recruiter experience and effectiveness, although it remains to be seen if recruiters will view AI tools as beneficial or intrusive.
- Disney Unveils New Business Unit To Explore Opportunities And Risks For AI And Other Emerging Tech
- Disney has announced the formation of a new division, the Office of Technology Enablement (OTE), to explore the opportunities and challenges of AI and emerging tech across its entertainment segments. Led by Disney’s CTO Jamie Voris, OTE will focus on harnessing AI and Mixed Reality (XR) to enhance consumer experiences and business operations while navigating associated risks. Disney aims to position itself as a leader in responsible tech adoption, emphasizing strategic, ethical use to support creativity and innovation. This move comes as the entertainment industry grapples with AI's implications, notably highlighted in recent labor disputes over AI in Hollywood.
- 8 Google Employees Invented Modern AI. Here’s the Inside Story
- In 2017, eight Google researchers published the transformative paper “Attention Is All You Need,” introducing the concept of "transformers" and revolutionizing AI. The team, frustrated by the limitations of recurrent neural networks, developed self-attention—a model allowing faster, more efficient processing of text. This approach ultimately powered advanced AI applications like ChatGPT and generative image tools. Each author has since left Google to pursue their own ventures, leveraging transformers in various AI startups. Despite Google’s early leadership, companies like OpenAI have advanced the technology more boldly, reshaping AI-driven products worldwide.
- To Lead in AI, the US Needs a Silicon Revolution
- The U.S. must innovate in chip manufacturing to maintain a lead in AI, according to Commerce Department undersecretary Laurie E. Locascio. While recent policies like the CHIPS Act aim to bolster American chip production, Locascio emphasizes the need for advanced manufacturing techniques and chip designs, especially in “chip packaging” for 3D architectures to meet AI’s growing power demands. Alongside manufacturing, Locascio’s role includes setting standards for safe AI practices. She stresses that future AI leadership will depend not just on producing current technology domestically but on pioneering new, high-performance chip technologies that can support advancements in AI.
- Who owns AI content in the age of AI?
- UK Prime Minister Keir Starmer emphasized that media companies should control and be compensated for content used by AI, stressing the role of journalism as essential to democracy. As AI technology grows, Starmer pledged to protect press freedoms and support content creators, countering proposals allowing AI companies to use publishers' content without explicit permission. While balancing tech industry investment with press protections, the UK government is advancing policies, such as the Digital Markets Act, to prevent monopolistic practices. Starmer also reaffirmed commitments to combat abusive legal tactics against journalists, advocating for a robust, independent media landscape.
- At TransUnion, One AI-Powered Analytics Platform Does Double Duty
- TransUnion has transformed from a credit reporting agency to a global insights company, driven by its AI-powered, unified cloud-based platform, OneTru?, which integrates data management, analytics, and machine learning for both internal and client use. Spearheaded by Chief Technology Officer Venkat Achanta, OneTru? serves as the backbone for offering advanced analytics services in marketing, fraud prevention, and credit risk management. The platform allows TransUnion to streamline operations, improve data governance, and test new capabilities before sharing them with customers. Achanta emphasizes a phased approach to AI, focusing initially on internal use cases to refine features such as explainability and bias mitigation, aiming for comprehensive adoption and secure client deployment by 2025.
- Meta AI Releases Sparsh: The First General-Purpose Encoder for Vision-Based Tactile Sensing
- Meta AI has released "Sparsh," the first general-purpose encoder for vision-based tactile sensing, aimed at improving tactile capabilities in robotics. Unlike traditional models, which rely on specific task-based data, Sparsh uses over 460,000 unlabeled tactile images across varied sensors, leveraging self-supervised learning to produce flexible touch representations. Built on advanced models like DINO and JEPA, Sparsh performs tasks such as force estimation, slip detection, and pose estimation, significantly outperforming sensor-specific models while requiring less labeled data. This innovation has the potential to enhance robotic dexterity and interaction, advancing applications in industrial and household automation.
- Edge AI Chips Offer an Alternative to Nvidia’s $70K GPU
- Edge AI chips are emerging as a cost-effective alternative to Nvidia’s high-priced GPUs, especially for applications requiring local data processing. Unlike cloud-based AI, which relies on powerful GPUs like Nvidia’s $70,000 Blackwell chips, edge AI enables on-device inference through smaller, more affordable accelerators. Major players like Intel, Apple, and Qualcomm, along with niche companies such as Hailo and Groq, are advancing this technology for diverse applications, from smart cameras to mobile AI assistants. Advances in smaller AI models are also enabling tasks previously dependent on cloud computing to be processed locally, driving broader adoption of edge AI in both consumer and industrial devices.
About Plainsight Technologies
Plainsight Technologies is the enterprise vision data company that makes cameras count. Through our pre-built Vision Intelligence Filters, containerized applications that solve business problems with accurate data from visual sources, we empower organizations to scale from concept to industry adoption while prioritizing privacy, security, and rapid innovation. Our mission is to "make your cameras count," extracting valuable insights from visual data to optimize processes in agriculture, marine biology, manufacturing, food service, and more. Headquartered in Kirkland, Washington, Plainsight Technologies operates as a distributed team, delivering cutting-edge solutions worldwide. To learn more, visit plainsight.ai
.
