GenAI

Robots’ and prosthetic hands’ sense of touch could be as fast as humans

Robots’ and prosthetic hands’ sense of touch could be as fast as humans

Research at Uppsala University and Karolinska Institutet could pave the way for a prosthetic hand and robot to be able to feel touch like a human hand. Their study has been published in the journal Science. The technology could also be used to help restore lost functionality to patients after a stroke. "Our system can determine what type of object it encounters as fast as a blindfolded person, just by feeling it and deciding whether it is a tennis ball or an apple, for example," says Zhibin Zhang, docent at the Department of Electrical Engineering at Uppsala University. He and…
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Diff-in-Means Concept Editing is Worst-Case Optimal

Diff-in-Means Concept Editing is Worst-Case Optimal

In our recent paper LEACE: Perfect linear concept erasure in closed form, we showed that in order to fully erase the linearly available information about a binary concept in a neural representation, it is both necessary and sufficient to neutralize the span of the difference-in-means direction between the two classes. Even more recently, Sam Marks and Max Tegmark showed that the behavior of transformers can be effectively manipulated by adding vectors in the span of the difference-in-means direction to the residual stream. In this post, we offer a theoretical explanation for these results by showing that interventions on the difference-in-means…
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Vanderbilt Machine Learning Seminar Talk “Conformal Prediction under Ambiguous Ground Truth” • David Stutz

Vanderbilt Machine Learning Seminar Talk “Conformal Prediction under Ambiguous Ground Truth” Last week, I presented our work on Monte Carlo conformal prediction — conformal prediction with ambiguous and uncertain ground truth — at the Vanderbilt Machine Learning Seminar Series. In this work, we show how to adapt standard conformal prediction if there are no unique ground truth labels available due to disagreement among experts during annotation. In this article, I want to share the slides of my talk. Abstract Conformal Prediction (CP) allows to perform rigorous uncertainty quantification by constructing a prediction set $C(X)$ satisfying $mathbb{P}_{agg}(Y in C(X))geq 1-alpha$ for…
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Datorios enhances data streaming visibility to support more reliable real-time AI systems – SiliconANGLE

Datorios enhances data streaming visibility to support more reliable real-time AI systems – SiliconANGLE

Streaming data observability startup Datorios Ltd. today announced the immediate availability of a new real-time observability platform for the big-data processing framework Apache Flink. With the new platform, companies will benefit from what the startup claims are previously unseen insights relating to streaming data processing. These insights can aid in the creation of new, real-time artificial intelligence systems that can be fully audited to ensure they don’t misbehave, the startup said. Datorios’ founders say they have applied years of experience in the research and development of real-time military intelligence systems to create their new product, with the end goal being…
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ChatGPT Gets an Upgrade With ‘Natively Multimodal’ GPT-4o

ChatGPT Gets an Upgrade With ‘Natively Multimodal’ GPT-4o

OpenAI’s Spring Update livestream on May 13 brought three major announcements from the AI company: A new flagship AI model called GPT-4o. A desktop ChatGPT app for macOS. ChatGPT users who don’t pay for a subscription can now access more features for free. The coming changes to ChatGPT “brings GPT-4 level intelligence to everyone, including our free users,” said OpenAI Chief Technology Officer Mira Murati during the livestream. OpenAI CTO Mira Murati speaks in a livestream on May 13. Image: Screenshot by TechRepublic GPT-4o improves on GPT-4 Turbo’s voice and video capabilities Murati said OpenAI’s next flagship model GPT-4o is…
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Animal brain inspired AI game changer for autonomous robots

Animal brain inspired AI game changer for autonomous robots

A team of researchers at Delft University of Technology has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and energy compared to current deep neural networks running on GPUs (graphic chips). Neuromorphic processors are therefore very suitable for small drones because they don't need heavy and large hardware and batteries. The results are extraordinary: during flight the drone's deep neural network processes data up to 64 times faster and consumes three times less energy than when running on a GPU. Further developments of this…
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VINC-S: Closed-form Optionally-supervised Knowledge Elicitation with Paraphrase Invariance

VINC-S: Closed-form Optionally-supervised Knowledge Elicitation with Paraphrase Invariance

$^*$Equal contribution In Spring 2023, a team at EleutherAI and elsewhere worked on a follow-up to CCS that aimed to improve its robustness, among other goals. We think the empirical side of the project was largely unsuccessful, failing to provide evidence that any method had predictably better generalization properties. In the spirit of transparency, we are sharing our proposed method and some results on the Quirky Models benchmark. Introduction# As we rely more and more on large language models (LLMs) to automate cognitive labor, it's increasingly important that we can trust them to be truthful. Unfortunately, LLMs often reproduce human…
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On the Utility of Conformal Prediction Intervals • David Stutz

On the Utility of Conformal Prediction Intervals • David Stutz

This article is meant as an ad-hoc response to Ben Recht’s recent blog series on whether we need conformal prediction intervals. I have been thinking a lot about the use of conformal prediction myself and this seems like a good opportunity to share some thoughts and learnings from working on conformal prediction the past few years. Ben Recht recently published some blog articles questioning the utility of prediction intervals and sets, especially as obtained using distribution-free, conformal methods. In this article, I want to add some color to the discussion given my experience with applying these methods in various settings.…
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Strategic growth: commercetools surges towards IPO – SiliconANGLE

Strategic growth: commercetools surges towards IPO – SiliconANGLE

Recently, commercetools GmbH achieved significant momentum, setting the company up for ongoing success and continuous innovative developments in the e-commerce market. This news highlights the value consumers find in commercetools as it gains market share over its competition, helping pave the way to Initial Public Offerings and even more considerable strategic growth. “That tightening of the belt I actually think is good for business; I think it’s a smart thing to do, and you move from that growth at all costs to efficient growth and smart growth,” said Dan Murphy (pictured), chief financial officer of commercetools. “Commercetools has been able…
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Snowflake Arctic, a New AI LLM for Enterprise Tasks, is Coming to APAC

Snowflake Arctic, a New AI LLM for Enterprise Tasks, is Coming to APAC

Data cloud provider Snowflake has launched an open source large language model, Arctic LLM, as part of a growing portfolio of AI offerings helping enterprises leverage their data. Typical use cases include data analysis, including sentiment analysis of reviews, chatbots for customer service or sales, and business intelligence queries, like the extraction of revenue information. Snowflake’s Arctic is being offered alongside other LLM models from Meta, Mistral AI, Google and Reka in its Cortex product, which is only available in select regions. Snowflake said Cortex will be available in APAC in Japan in June via the AWS Asia Pacific (Tokyo)…
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