Technology
Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic
This study introduces a multi-objective RL framework for autonomous trucks, learning Pareto-optimal policies to balance safety, energy, and time efficiency. It enables flexible, adaptive decision-making without retraining.
ELF: A Family of Encoder-Free ECG-Language Models
ELF introduces encoder-free ECG-Language Models, simplifying architecture and training while matching or surpassing state-of-the-art performance.
A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Transformer-Based Language Models
This framework stabilizes interpretability in clinical LMs by extracting monosemantic features to generate stable, input-level importance scores. It bridges attribution and mechanistic methods to enhance trust in Alzheimer’s diagnosis.
ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition
ASKD-Whisper uses adaptive self-knowledge distillation to compress Whisper, achieving 5x faster inference and lower error rates. This dynamic approach improves generalization by reducing reliance on the teacher’s distribution.
Demystifying Multi-Agent Debate: The Role of Confidence and Diversity
This study improves multi-agent debate by adding diverse initialization and confidence signaling. These changes consistently outperform standard debate and majority voting across benchmarks.
How Much Progress Has There Been in NVIDIA Datacenter GPUs?
This study analyzes NVIDIA datacenter GPU evolution (2005-2025), revealing FP16/FP32 performance doubling every ~1.5 years. It also quantifies how U.S. export controls create a 23.6X performance gap, potentially reducible to 3.54X via policy adjustments.
APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention
APB-V accelerates long-video inference via sequence-parallel approximate attention, achieving up to 12.72x speedup without accuracy loss. It efficiently handles visual embeddings across multiple GPUs using optimized load balancing and fused passes.
GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
GUDA enables efficient group-wise training data attribution for diffusion models via machine unlearning, avoiding costly retraining. It achieves 100x speedup over LOGO while accurately identifying influential data groups.
Nvidia's Huang on South Korean Partnerships
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How to make the Startup Battlefield Top 20 — and what every company gets regardless
Secure a Startup Battlefield Top 20 spot by showcasing unique innovation and strong founder conviction in your demo. All applicants gain exposure via TechCrunch, regardless of the outcome.
Wall St ends higher, boosted by tech gains, US-Iran peace hopes
Wall Street closed higher, fueled by tech stock gains and optimism over potential US-Iran diplomatic breakthroughs.
How 'confused' AI rollout hurts firms and baffles staff
Executives often force costly, unsuitable AI tools on staff, prioritizing optics over efficiency. This misaligned rollout confuses employees and damages business value.
Traders Turn to AI to Crack Secret Formula Behind PBOC’s FX Fix
Traders use AI to decode the PBOC’s FX fix as Governor Pan envisions a post-dollar global monetary system. This shift signals a move toward a more competitive, diversified international currency framework.
Alphabet plans to raise $80B to pay for AI buildout
Alphabet plans to raise $80 billion via stock sales, including $10 billion from Berkshire Hathaway, to fund massive AI infrastructure expansion. This capital supports surging demand and aligns with projected $180-$190 billion in annual capex.
Alphabet plans to raise $80 billion for AI goals, Berkshire to invest $10 billion
Alphabet plans to raise $80 billion for AI, while Berkshire Hathaway commits $10 billion.
HPE lifts forecast past 2028 goals on robust AI demand, shares surge 36%
HPE raised its 2028 financial outlook due to strong AI demand, causing its stock to surge 36% following the announcement.
Stocks up as Trump Cites Rapid Pace in Iran Talks | The Close 6/1/2026
Stocks rose as Trump highlighted rapid progress in Iran talks. This optimism drove equity gains on June 1, 2026.
Defense tech darling Mach Industries hits $1.8B valuation, a 4x jump in a year
Mach Industries, a defense tech startup, secured $300 million in Series C funding, reaching a $1.8 billion valuation. This marks a fourfold increase from its previous assessment, driven by intense investor interest in its autonomous weapons technology.
Nvidia chases $200B CPU market with AI agent PCs from Microsoft, Dell, and HP
Nvidia unveiled the RTX Spark CPU at Computex, partnering with Microsoft, Dell, and HP to launch AI agent PCs this autumn. This move targets the $200B CPU market by enabling local AI execution on Windows devices.
Alphabet Will Raise $80 Billion to Fund AI Spending
Alphabet plans to raise $80 billion to fund its expanding artificial intelligence investments. This capital supports research, development, and infrastructure upgrades to maintain its competitive edge in the AI sector.