16 results for "efficient ai"
'10,000 times faster than a human scientist' — New AI tool designed ultra-efficient heat-to-electricity generators at lightning speed, a breakthrough that could slash the cost of energy harvesters and help enable cheaper, high-performance home heat pumps
“10,000 times faster than a human scientist” — New AI tool designed ultra-efficient heat-to-electricity generators at lightning speed, a breakthrough that could soon slash the cost of energy harvester…
Xiaomi open sources MiMo-V2.5 and MiMo-V2.5-Pro under the MIT License, saying both models are among the most efficient available for agentic "claw" tasks (Carl Franzen/VentureBeat)
Carl Franzen / VentureBeat : Xiaomi open sources MiMo-V2.5 and MiMo-V2.5-Pro under the MIT License, saying both models are among the most efficient available for agentic “claw” tasks — Xiaomi, the Chi…
NVIDIA Launches Nemotron 3 Nano Omni Model, Unifying Vision, Audio and Language for up to 9x More Efficient AI Agents
AI agent systems today juggle separate models for vision, speech and language — losing time and context as they pass data from one model to the other. Unveiled today, NVIDIA Nemotron 3 Nano Omni is an…
Robotically assembled building blocks could make construction more efficient and sustainable
Constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint than other methods, according to new research from the MIT Center for…
Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
Recent advancements in large language models (LLMs) have catalyzed the rise of reasoning-intensive inference paradigms, where models perform explicit step-by-step reasoning before generating final ans…
New data center will be partially powered by human brain cells for the first time
A startup is experimenting with data centers powered by lab-grown human neurons, testing whether living cells can offer a more efficient alternative to traditional computing.…
what are your strats for being efficient with opus 4.7 max?
it develops something amazing, comes up with a great idea, but it feels like the idea is to par with its own limits, and thus, spends obscene amounts of tokens (i regularly hit my limit on the $100 pl…
The Power of Power Law: Asymmetry Enables Compositional Reasoning
Natural language data follows a power-law distribution, with most knowledge and skills appearing at very low frequency. While a common intuition suggests that reweighting or curating data towards a un…
PhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks
The emerging threat of AR-LLM-based Social Engineering (AR-LLM-SE) attacks (e.g. SEAR) poses a significant risk to real-world social interactions. In such an attack, a malicious actor uses Augmented R…
From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
Large language model-based agents have recently emerged as powerful approaches for solving dynamic and multi-step tasks. Most existing agents employ planning mechanisms to guide long-term actions in d…
SemML 2.0: Synthesizing Controllers for LTL
Synthesizing a reactive system from specifications given in linear temporal logic (LTL) is a classical problem, finding its applications in safety-critical systems design. These systems are typically …
An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources
Efficient job-shop scheduling with transportation resources is critical for high-performance manufacturing. With the rise of "decentralized factories", multi-agent reinforcement learning has emerged a…
Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks
The need to burn 100% H2 in high efficient gas turbines featuring low NOx combustion in premix mode require the complete redesign of the combustion system to ensure stable operation without any flashb…
Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
Large Vision-Language Models (LVLMs) frequently suffer from hallucinations. Existing preference learning-based approaches largely rely on proprietary models to construct preference datasets. We identi…
Microsoft TRELLIS.2: An Open-Source, 4B-Parameter, Image-to-3D Model [pdf]
Recent advancements in 3D generative modeling have significantly improved the generation realism, yet the field is still hampered by existing representations, which struggle to capture assets with com…
GBNF grammar tweak for faster Qwen3.6 35B-A3B and Qwen3.6 27B
Hi folks, Enjoy an optimised Qwen3.6 35B-A3B and Qwen3.6 27B for coding and general purpose - it's able to solve puzzles correctly more often too. The initial intent was to optimise the 35B-A3B reason…