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27 May

Intel’s deeptech accelerator announces its seventh cohort

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Intel Ignite, Intel's global startup accelerator program for early-stage deeptech startups, has announced the 10 startups who make up its seventh cohort, which will convene in Munich. Deeptech is now the largest VC funding category in Europe according to Dealroom, with artificial intelligence and quantum computing startups raising the most capital. The current cohort includes startups from Germany, Switzerland, France, the Netherlands, Spain and Sweden which have each raised €7M on average and are focused on broad spectrum of deeptech, from semiconductor manufacturing, silicon and photonics to memory compression, data streaming, AI processing, and applications in the robotics and satellite…

27 May

Radical Transparency: The promise and peril of generative AI

stp2y0 CommentsChat-GPT

AI chatbots like ChatGPT continue to attract attention for their ability to churn out essays, reports and emails. For space companies, generative artificial intelligence tools offer the potential to merge datasets and streamline operations. At HawkEye 360, for example, analysts who query the company’s virtual warehouse of radio-frequency signals through programming code could instead find what they want by asking natural-language questions. “Show me the illegal fishing that’s happening in this area of the world,” Kaitlin Zimmerman, HawkEye 360 chief data scientist, said in October at Satellite Innovation 2023 in Mountain View, California. “That could generate the query that could…

27 May

Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts

stp2y0 CommentsViral News

[Submitted on 1 Apr 2024] View a PDF of the paper titled Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts, by Prakash Chandra Chhipa and 4 other authors View PDF Abstract:The challenge of Out-Of-Distribution (OOD) robustness remains a critical hurdle towards deploying deep vision models. Open-vocabulary object detection extends the capabilities of traditional object detection frameworks to recognize and classify objects beyond predefined categories. Investigating OOD robustness in open-vocabulary object detection is essential to increase the trustworthiness of these models. This study presents a comprehensive robustness comparison of zero-shot capabilities of three recent open-vocabulary foundation object detection models,…

27 May

TacticAI: an AI assistant for football tactics

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Research Published 19 March 2024 Authors By Zhe Wang and Petar Veličković As part of our multi-year collaboration with Liverpool FC, we develop a full AI system that can advise coaches on corner kicks'Corner taken quickly… Origi!'Liverpool FC made a historic comeback in the 2019 UEFA Champions League semi-finals. One of the most iconic moments was a corner kick by Trent Alexander-Arnold that lined up Divock Origi to score what has gone down in history as Liverpool FC’s greatest goal.Corner kicks have high potential for goals, but devising a routine relies on a blend of human intuition and game design…

27 May

Could AI help cure ‘downward spiral’ of human loneliness?

stp2y0 CommentsChat-GPT

Hollywood may have warned about the perils of striking up relationships with artificial intelligence, but one computer scientist says we may be missing a trick if we do not embrace the positives that human-machine relationships have to offer.Despite the travails of Joaquin Phoenix’s introverted and soon-to-be-divorced protagonist in the 2013 movie Her, one professor says we should be open to the comforts that chatbots can provide.Tony Prescott, professor of cognitive robotics at the University of Sheffield, argues that AI has an important role to play in preventing human loneliness. Just as we develop meaningful bonds with pets, and have no…

27 May

Caterbot? Robatapillar? It crawls with ease through loops and bends

stp2y0 CommentsGenAIRobotics Research; Engineering; Engineering and Construction; Civil Engineering; Robotics; Artificial Intelligence; Computer Science; Information Technology

Engineers at Princeton and North Carolina State University have combined ancient paperfolding and modern materials science to create a soft robot that bends and twists through mazes with ease. Soft robots can be challenging to guide because steering equipment often increases the robot's rigidity and cuts its flexibility. The new design overcomes those problems by building the steering system directly into the robot's body, said Tuo Zhao, a postdoctoral researcher at Princeton. In an article published May 6 in the journal PNAS, the researchers describe how they created the robot out of modular, cylindrical segments. The segments, which can operate…

27 May

China is flexing its missile arsenal in a new simulation for a mass Taiwan attack as the US watches Beijing’s Rocket Force closely

stp2y0 CommentsRAG models

China's Eastern Theater Command on Friday released a simulation video of its missile forces carrying out a mass attack on Taiwan, boasting its land, sea, and air launch capabilities.The 70-second hype video used a mix of computer-generated animation and live footage to depict warships, land-based rocket launchers, and jet fighters launching waves of missiles at the island."Destroy the pillar of Taiwanese independence! Strike the base camp of Taiwanese independence! Cut off the blood flow of Taiwanese independence!" the People's Liberation Army branch wrote in the video.Animated missiles — dubbed "independence killing weapons" in the video — descend upon a 3D…

27 May

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

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arXiv:2405.14899v1 Announce Type: new Abstract: In-context learning (ICL) allows transformer-based language models that are pre-trained on general text to quickly learn a specific task with a few "task demonstrations" without updating their parameters, significantly boosting their flexibility and generality. ICL possesses many distinct characteristics from conventional machine learning, thereby requiring new approaches to interpret this learning paradigm. Taking the viewpoint of recent works showing that transformers learn in context by formulating an internal optimizer, we propose an influence function-based attribution technique, DETAIL, that addresses the specific characteristics of ICL. We empirically verify the effectiveness of our approach for demonstration attribution…

27 May

Winamp: new music platform and source code release – gHacks Tech News

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Winamp used to be a popular audio player for Windows. Things went quiet after its heyday and rights changed hands several times in that period. Veteran users of the player had big hopes when a comeback of the player was announced in 2021. After a, mostly, bug fix release in 2022, a new Winamp Player was announced for release in 2023. The release turned things around significantly, as it was launched as as web-based application and not a traditional desktop app. Even worse, the web-based player did not support playing local files. Everything seemed to be designed to push the…

27 May

Research Highlights Jul-Aug 2023: Llama 2, Flash-Attention 2, and More

stp2y0 CommentsAI

Every month is a busy month for LLM research. However, this month has been particularly interesting due to the release of new state-of-the-art base models, such as Meta's Llama 2 model suite. Double kudos: this new iteration of Llama models comes without any major restrictions and a very detailed 77-page report on arXiv!I am still compiling all my notes and thoughts after reading through this 77-pager for the next main issue of this newsletter -- coming soon! However, in the meantime, I wanted to share some of the main takeaways in the monthly Research Highlights (next to many other interesting…