Latest AI & Business News
Stay updated with the latest insights in AI and business, delivered directly to you.
-
업계 선배가 전하다··· CISO 업무 첫 부임 시 알아두면 좋은 10가지 팁
처음 CISO가 되는 일은 매우 부담스러울 수 있다. 외부에서 채용되든 내부 인사가 승진하는 형태이든 첫날부터 이들은 조직을 안전하게 지키면서 다양한 과제를 다뤄야 한다. 한편으로는 증가하는 사이버 위협에 대응해야 하는 즉각적인 압박감이 있고, 다른 한편으로는 조직 내 역학관계를 파악하고, 까다로운 임원들의 마음을 얻으며, 비즈니스를 방해하지 않으면서 보안 조치의 우선순위를 정해야 한다. 애브노멀 시큐리티(Abnormal Security)의 CISO 마이크…
-
Russia-Backed Media Outlets Are Under Fire in the US—but Still Trusted Worldwide
The US government says outlets like RT work closely with Russian intelligence, and platforms have removed or banned their content. But they’re still influential all around the world.
-
Identificación y seguimiento de botellas de vino mediante etiquetas inteligentes; así se digitaliza la gestión bodeguera
La digitalización no entiende de fronteras. Eviden ha anunciado el desarrollo e implementación de una nueva solución de gestión de bodegas diseñada por Selartag, multinacional especializada en el desarrollo de soluciones inteligentes para el entorno vinícola. Basada en un concepto único e innovador de identificación y seguimiento de botellas de vino, la solución proporciona datos…
-
Use Zoom’s AI Companion to Take Notes and Summarize Meetings
The videoconferencing app has an AI-powered agent built in. It can generate summaries, tell you who talked the most, and even gauge what the emotional tone of the meeting was.
-
Source-Disentangled Neural Audio Codec (SD-Codec): A Novel AI Approach that Combines Audio Coding and Source Separation
Neural audio codecs have completely changed how audio is compressed and handled, by converting continuous audio signals into discrete tokens. This technique uses generative models trained on discrete tokens to produce complicated audio while maintaining the excellent quality of the audio. These neural codecs have significantly improved audio compression, making it possible to store and…
-
KnowFormer: A Transformer-Based Breakthrough Model for Efficient Knowledge Graph Reasoning, Tackling Incompleteness and Enhancing Predictive Accuracy Across Large-Scale Datasets
Knowledge graphs (KGs) are structured representations of facts consisting of entities and relationships between them. These graphs have become fundamental in artificial intelligence, natural language processing, and recommendation systems. By organizing data in this structured way, knowledge graphs enable machines to understand and reason about the world more efficiently. This reasoning ability is crucial for…
-
Coming soon: Our 2024 list of 15 Climate Tech Companies to Watch
MIT Technology Review set out last year to recognize 15 companies from around the world that demonstrated they have a real shot at meaningfully driving down greenhouse-gas emissions and safeguarding society from the worst impacts of climate change. We’re excited to announce that we took up the task again this year and will publish our…
-
Nike’s NewCEO Has One Hell of a Challenge Ahead
A ruinous pandemic business strategy, declining innovation, exodus of talent, and a “worst sneaker of all time” accolade has laid the world’s biggest sports brand low.
-
Lo que necesita saber sobre la gobernanza de la IA
“Puede utilizar la herramienta de inteligencia artificial (IA) que quiera para experimentar de la forma que quiera, utilizando los datos que quiera”, no ha dicho nunca ningún ejecutivo de empresa. Los líderes ejecutivos se centran en garantizar que los esfuerzos de IA se dirijan a las oportunidades de negocio, evitando al mismo tiempo los riesgos.…
-
PDLP (Primal-Dual Hybrid Gradient Enhanced for LP): A New FOM–based Linear Programming LP Solver that Significantly Scales Up Linear Programming LP Solving Capabilities
Linear programming (LP) solvers are crucial tools in various fields like logistics, finance, and engineering, due to their ability to optimize complex problems involving constraints and objectives. Linear programming (LP) solvers help businesses maximize profits, minimize costs, and improve efficiency by identifying optimal solutions within defined constraints. They are based on the simplex and interior-point methods…