DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
NVIDIA today announced collaborations with leading global healthcare and research organizations to advance protein design — including through a newly released open model, RFD4-Proteina — accelerate drug discovery and bring greater precision to cancer care.
As demand for artificial intelligence (AI) chips surges, competition among global semiconductor manufacturers to secure production equipment is expected to ext
Tencent Smart Retail, Tencent Cloud’s smart retail service, highlighted how artificial intelligence (AI) is reshaping the retail industry and shared how retailers across Asia are leveraging AI, dat…
Azoma (Techstars 2023) has raised an $11.2M Series A to help consumer brands get their products discovered and recommended by AI shopping agents like ChatGPT, Alexa for Shopping, and Walmart Sparky.
Every capability claim this week arrived vendor-reported. The one document that tells the truth about risk is a license that disclaims the model's output and assigns the bill to the deployer.
Ahead of the November 3rd midterm elections, Virginia Senator Mark Warner is calling out 25 of the biggest tech companies on AI regulation. Senator Warner said he
The company will use the fresh capital to expand its footprint, strengthen its technology and artificial intelligence (AI) capabilities, and enter new markets, including Andhra Pradesh, Priyadarshi Mohapatra,
We study differentially private covariance estimation in operator norm for mean-zero sub-Gaussian distributions with unknown covariance support and at most $k$ nonzero entries per row. We develop a multiscale random-threshold algorithm with sample complexity $\ot(k^2/α^2+k\sqrt…
Steering with SAE features requires per-feature coefficient tuning, which currently demands intervention sweeps. We ask whether properties of the SAE itself, computable before any forward pass, predict which features will be cheap or expensive to steer. We show that variation…
Multimodal large language models (MLLMs) are increasingly used as evaluators, yet their reliability in professional assessment tasks that require expert judgment remains unclear. We investigate this challenge in the context of assessing psychotherapeutic interpersonal skills…
Spiking Neural Networks (SNNs) offer a promising path toward ultra-low-power artificial intelligence inference by emulating the event-driven computation of biological neurons. However, two challenges limit their practical deployment. First, fixed-parameter Leaky…