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Theker just raised $85M to build the factory robot that doesn’t specialize in anything2h◆Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world2h◆SpaceX officially prices shares at $135 in the largest IPO ever7h◆Our new community investments in Virginia support local jobs and expand energy affordability.7h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift7h◆Amazon’s data centers used 2.5 billion gallons of water last year10h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others11h◆Pool’s new app turns your screenshots into something useful12h◆DoorDash’s new AI chatbot lets you order with prompts and photos13h◆Anthropic apologizes for invisible Claude Fable guardrails16h◆Google DeepMind is worried about what happens when millions of agents start to interact16h◆Deezer launches an AI music detector for other streaming services19h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing23h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning23h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!23h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation23h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions23h◆The Impossibility of Eliciting Latent Knowledge23h◆Mapping Scientific Literature with Large Language Models and Topic Modeling23h◆Grounding Computer Use Agents on Human Demonstrations23h◆Theker just raised $85M to build the factory robot that doesn’t specialize in anything2h◆Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world2h◆SpaceX officially prices shares at $135 in the largest IPO ever7h◆Our new community investments in Virginia support local jobs and expand energy affordability.7h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift7h◆Amazon’s data centers used 2.5 billion gallons of water last year10h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others11h◆Pool’s new app turns your screenshots into something useful12h◆DoorDash’s new AI chatbot lets you order with prompts and photos13h◆Anthropic apologizes for invisible Claude Fable guardrails16h◆Google DeepMind is worried about what happens when millions of agents start to interact16h◆Deezer launches an AI music detector for other streaming services19h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing23h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning23h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!23h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation23h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions23h◆The Impossibility of Eliciting Latent Knowledge23h◆Mapping Scientific Literature with Large Language Models and Topic Modeling23h◆Grounding Computer Use Agents on Human Demonstrations23h◆
Tag

#energy-efficiency

3 articles tagged #energy-efficiency

arxivApr 23bullish

DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format

arXiv:2511.17265v2 Announce Type: replace-cross Abstract: Nowadays, we are witnessing an Artificial Intelligence revolution that dominates the technology landscape in various application domains, such as healthcare, robotics, automotive, security, and defense. Massive-scale AI models, which mimic th

#hardware#artificial-intelligence#edge-computingRead on arxiv →
arxivApr 9

Splats under Pressure: Exploring Performance-Energy Trade-offs in Real-Time 3D Gaussian Splatting under Constrained GPU Budgets

arXiv:2604.07177v1 Announce Type: cross Abstract: We investigate the feasibility of real-time 3D Gaussian Splatting (3DGS) rasterisation on edge clients with varying Gaussian splat counts and GPU computational budgets. Instead of evaluating multiple physical devices, we adopt an emulation-based appr

#graphics#rasterisation#energy-efficiencyRead on arxiv →
arxivApr 7bullish

Neuromorphic Computing for Low-Power Artificial Intelligence

arXiv:2604.04727v1 Announce Type: cross Abstract: Classical computing is beginning to encounter fundamental limits of energy efficiency. This presents a challenge that can no longer be solved by strategies such as increasing circuit density or refining standard semiconductor processes. The growing c

#neuromorphic#hardware#energy-efficiencyRead on arxiv →
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