Latest AI & Business News
Stay updated with the latest insights in AI and business, delivered directly to you.
-
Revisiting a year of Roundtables, MIT Technology Review’s subscriber-only events
The worst technologies of 2024. The future of mixed reality. AI’s impact on the climate. These are just a few of the topics we covered this year in MIT Technology Review’s monthly event series, Roundtables. The series offers a unique opportunity to hear straight from our reporters and editors about what’s next for emerging technologies.…
-
6 ways to turn your IT help desk into a strategic asset
The IT help desk is often considered the “dungeon” department in most IT organizations: a place where those who can’t excel at anything more meaningful in IT are left to linger, or those who are just starting out in IT must prove their mettle before launching their “true” IT careers. The help desk can also…
-
Give Your Social Health a Decent Workout
Your physical and mental well-being are crucial—but the picture isn’t complete if you aren’t flexing your connection muscles, too. Here’s how to build—and keep—your social health.
-
Cómo hablar con la junta directiva sobre la deuda tecnológica
Cuando su director ejecutivo o director financiero le pregunta sobre el presupuesto necesario para la remediación de la deuda técnica, ¿se encuentra con dificultades para justificar la inversión? No es el único. Si bien los directores de TI comprenden el peso aplastante de la deuda técnica, traducir esto a un lenguaje empresarial convincente para la junta…
-
FineWeb-C: A Community-Built Dataset For Improving Language Models In ALL Languages
FineWeb2 significantly advances multilingual pretraining datasets, covering over 1000 languages with high-quality data. The dataset uses approximately 8 terabytes of compressed text data and contains nearly 3 trillion words, sourced from 96 CommonCrawl snapshots between 2013 and 2024. Processed using the datatrove library, FineWeb2 demonstrates superior performance compared to established datasets like CC-100, mC4, CulturaX,…
-
Qwen Team Releases QvQ: An Open-Weight Model for Multimodal Reasoning
Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding area of research in artificial intelligence (AI). Despite advancements, many models still struggle with contextually accurate and efficient cross-modal understanding. These challenges often stem from limitations in scale, narrowly focused datasets, and restricted access to…
-
Frenzy: A Memory-Aware Serverless Computing Method for Heterogeneous GPU Clusters
Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building more complex Large Language Models (LLMs). Training these LLMs requires more computational power and resources for memory allocation, power usage, and hardware. Optimizing memory utilization for different types and configurations of GPUs is complex. Deciding…
-
This AI Paper by The Data Provenance Initiative Team Highlights Challenges in Multimodal Dataset Provenance, Licensing, Representation, and Transparency for Responsible Development
The advancement of artificial intelligence hinges on the availability and quality of training data, particularly as multimodal foundation models grow in prominence. These models rely on diverse datasets spanning text, speech, and video to enable language processing, speech recognition, and video content generation tasks. However, the lack of transparency regarding dataset origins and attributes creates…
-
This AI Paper Introduces ROMAS: A Role-Based Multi-Agent System for Efficient Database Monitoring and Planning
Multi-agent systems (MAS) are pivotal in artificial intelligence, enabling multiple agents to work collaboratively to solve intricate tasks. These systems are designed to function in dynamic and unpredictable environments, addressing data analysis, process automation, and decision-making tasks. By incorporating advanced frameworks and leveraging large language models (LLMs), MAS has increased efficiency and adaptability for various…
-
Salesforce AI Research Introduces AGUVIS: A Unified Pure Vision Framework Transforming Autonomous GUI Interaction Across Platforms
Graphical User Interfaces (GUIs) play a fundamental role in human-computer interaction, providing the medium through which users accomplish tasks across web, desktop, and mobile platforms. Automation in this field is transformative, potentially drastically improving productivity and enabling seamless task execution without requiring manual intervention. Autonomous agents capable of understanding and interacting with GUIs could revolutionize…