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The machine learning lifecycle is an intricate series of stages that guides the development and deployment of machine learning models. Through understanding each phase, teams can effectively harness data to create solutions that address specific problems. Numerous factors contribute to the success of this process, making it essential for data scientists and stakeholders to comprehend the...
As the demand for artificial intelligence (AI) accelerates across industries, a new study published by the IEEE Photonics Society highlights a promising hardware breakthrough designed to address AI’s growing energy and performance challenges.
The research, led by Dr. Bassem Tossoun, Senior Research Scientist at Hewlett Packard Labs, introduces a photonic integrated circuit (PIC) platform that...
Vitruvi Software rolled out AI features for its construction management platform at a Denver event yesterday, aiming to streamline how large linear projects get built.
The company hosted an exclusive gathering for leaders managing large-scale linear infrastructure projects, highlighting AI-driven tools designed to help asset owners and construction partners build “further, faster, and smarter.”...
Language AI company DeepL has secured a spot on Forbes’ 2025 AI 50 list for the second consecutive year. The list, compiled with Sequoia Capital and Meritech Capital from over 1,860 submissions, spotlights companies applying artificial intelligence to solve real-world business challenges, such as language barriers.
“DeepL being named to the Forbes AI 50 list for the second year running is a huge...
Getting large language models (LLMs) to reason better is one thing. Getting them to do it without burning through absurd amounts of compute is another. A new research paper from TU Darmstadt, UCLA, Google DeepMind, and Mila digs deep into this trade-off — and might just change how AI developers think about scaling reasoning at test time.
The core tension? Whether LLMs should spend their compute...
Artificial intelligence might be the next big thing in clean energy or the next big problem. The International Energy Agency (IEA) has released its first major report on how the AI boom is reshaping global electricity demand, and the numbers are staggering.
The headline? By 2030, data centers, supercharged by AI workloads, are projected to consume as much electricity as Japan does today. That’s...
ByteDance Seed researchers rolled out Value Augmented Proximal Policy Optimization (VAPO), a reinforcement learning training framework designed to sharpen large language models’ reasoning on complex, lengthy tasks, achieving new state-of-the-art results on the AIME24 benchmark.
Training LLMs for intricate reasoning using value-based reinforcement learning previously faced significant hurdles....
Incident.io, which builds AI tools to manage problems like app outages, secured $62 million in Series B funding led by Insight Partners. This follows a $28.7 million Series A in 2022, bringing total funding over $96 million for the London-based startup.
Founded in 2021 by CEO Stephen Whitworth, Incident.io aimed to consolidate the fragmented tools–like PagerDuty, spreadsheets, and ticketing...
The startup incubation scene is seeing a meaningful shift, with new models emerging to prioritize social impact. Charity Entrepreneurship (CE), the inventor of one of these new models, stands out with its unique approach: launching high-impact ventures committed to generating both profit and positive change. What’s distinctive about CE is its core principle: portfolio companies pledge 50% of...
Elon Musk’s artificial intelligence startup xAI is under fire in Memphis, Tennessee, after an environmental advocacy group accused the company of running dozens of unpermitted gas turbines at its massive data center — raising serious air quality concerns for local residents.
According to a letter sent this week by the Southern Environmental Law Center (SELC) to the Shelby County Health Department...