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12 AI predictions for 2025
Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers haven’t been idle this year either. We’ve also seen the emergence of…
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To Fight AI Search Spam, Prioritize Real Human Voices
Anti-algorithm tactics and human moderators need to keep the web honest.
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Machine Learning Salaries and Job Market Analysis for 2024 and Beyond
One of the most talked-about niches in tech is machine learning (ML), as developments in this area are expected to have a significant impact on IT as well as other industries.
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Ocho razones por las que las transformaciones digitales aún fracasan
Se podría pensar que los líderes de TI ya tendrían dominado toda la operativa de transformación digital, dado que las organizaciones han estado implementando iniciativas durante varios años. Pero estarían equivocados. Muchos de los problemas que las organizaciones han enfrentado al implementar nuevos procesos continúan acosándolas. “Las cosas fáciles se han hecho y las que quedan son difíciles”,…
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CMU Researchers Introduce TNNGen: An AI Framework that Automates Design of Temporal Neural Networks (TNNs) from PyTorch Software Models to Post-Layout Netlists
Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development processes. TNNs have been identified as highly promising for real-time edge AI applications, mainly because they are energy-efficient and bio-inspired. However, available methodologies lack automation and are not very…
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2024: un año reseñable de avances para la salud digital en España
A lo largo de 2024 se han logrado avances muy significativos en Tecnologías de la Información y comunicaciones (TIC) para la salud en España. En términos generales podemos hablar de una aceleración importante de la incorporación de tecnologías avanzadas como la IA generativa, big data, la nube, IoMT, dispositivos llevables y las comunicaciones móviles 5G.…
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Los mejores casos de éxito del 2024 constatan la alianza entre TI y negocio
La transformación digital ha formado parte inherente de las agendas de empresas, organizaciones e instituciones de diversa naturaleza y tipología. Sus beneficios han sido contrastados de manera empírica ayudando a la optimización de procesos internos, mejora de la satisfacción de empleados, usuarios y clientes y como catalizador en la obtención de los objetivos empresariales. He…
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AutoSculpt: A Pattern-based Automated Pruning Framework Designed to Enhance Efficiency and Accuracy by Leveraging Graph Learning and Deep Reinforcement Learning
Deploying Deep Neural Networks (DNNs) on edge devices, such as smartphones and autonomous vehicles, remains a significant challenge due to their computationally intensive nature. Most existing pruning algorithms struggle to balance high compression rates and inference accuracy and have to be compatible with commercial hardware—unstructured pruning yields irregular sparsity that often limits its usage in…
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Researchers from MIT, Sakana AI, OpenAI and Swiss AI Lab IDSIA Propose a New Algorithm Called Automated Search for Artificial Life (ASAL) to Automate the Discovery of Artificial Life Using Vision-Language Foundation Models
Artificial Life (ALife) research explores the emergence of lifelike behaviors through computational simulations, providing a unique framework to study “life as it could be.” However, the field faces significant limitations: a reliance on manually crafted simulation rules and configurations. This process is time-intensive and constrained by human intuition, leaving many potential discoveries unexplored. Researchers often…
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B-STAR: A Self-Taught AI Reasoning Framework for LLMs
A direct correlation exists between an LLM’s training corpus quality and its capabilities. Consequently, researchers have invested a great deal of effort into curating extensive, high-quality datasets, which, at present, are achievable with craftful human annotations. Man-made datasets, however, have one downside: their reliance becomes increasingly unsustainable as complexity grows. Many methods have been worked…