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As lidar company Luminar pushed ahead to meet its goals for 2022 — milestones that included locking in new commercial contracts with unnamed automakers and shipping production-ready sensors to SAIC — it also snapped up a small HD mapping startup called Civil Maps.

The acquisition, which was disclosed Wednesday during Luminar founder and CEO Austin Russell’s presentation at CES 2023, is more than just a large publicly traded company taking advantage of a consolidating industry. Although the timing couldn’t have been better due to the current economic environment, according to Russell.

For Russell, the acquisition is part of Luminar’s longer term vision to be more than just a lidar supplier. Mapping, specifically the mapping tech that Civil Maps created, is foundational to that goal, Russell said.

250 feet down a cliff. Notice many of the Musk bashing news outlets are not reporting this. #PleaseShare


Montara, Calif. — A 4-year-old girl, a 9-year-old boy and two adults survived Monday after their car plunged off a Northern California cliff along the Pacific Coast Highway near an area known as Devil’s Slide that’s known for fatal wrecks, officials said.

The Tesla sedan plummeted more than 250 feet from the highway and crashed into a rocky outcropping. It appears to have flipped a few times before landing on its wheels, wedged against the cliff just feet from the surf, according to Brian Pottenger, a battalion chief for Coastside Fire Protection District/Cal Fire.

Crashes along Devil’s Slide, a steep, rocky and winding coastal area about 15 miles south of San Francisco between Pacifica and Montara, rarely end with survivors. On Monday, the victims were initially listed in critical condition but all four were conscious and alert when rescuers arrived.

Sensing systems are becoming prevalent in many areas of our lives, such as in ambient-assisted health care, autonomous vehicles, and touchless human-computer interaction. However, these systems often lack intelligence: they tend to gather all available information, even if it is not relevant. This can lead not only to privacy infringements but also to wasted time, energy, and computational resources during data processing.

To address this problem, researchers from the French CNRS came up with a concept for intelligent electromagnetic sensing, which uses machine-learning techniques to generate learned illumination patterns so as to pre-select relevant details during the measurement process. A programmable metasurface is configured to generate the learned patterns, performing high-accuracy sensing (e.g., posture recognition) with a remarkably reduced number of measurements.

But measurement processes in realistic applications are inevitably subject to a variety of . Noise fundamentally accompanies any measurement. The signal-to– can be particularly low in indoor environments where the radiated electromagnetic signals must be kept weak.

Year 2021 face_with_colon_three


In recent years, the use of deep learning in language models has gained much attention. Some research projects claim that they can generate text that can be interpreted as human writing, enabling new possibilities in many application areas. Among the different areas related to language processing, one of the most notable in applying this type of modeling is programming languages. For years, the machine learning community has been research ing this software engineering area, pursuing goals like applying different approaches to auto-complete, generate, fix, or evaluate code programmed by humans. Considering the increasing popularity of the deep learning-enabled language models approach, we found a lack of empirical papers that compare different deep learning architectures to create and use language models based on programming code.

This segment originally aired on December 28, 2022.
Colin Rusch, Oppenheimer & Co. Managing Director and Senior Research Analyst, sits down with Yahoo Finance Live anchors Seana Smith and Jared Blikre to talk about Tesla’s stock outlook in 2023 following Elon Musk’s invested interest in managing Twitter this past year.
Don’t Miss: Valley of Hype: The culture that built Elizabeth Holmes.
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https://youtube.com/watch?v=r7-S31eA7mo&feature=share

Welcome to our latest video on the future of artificial intelligence! In this episode, we’ll be exploring the question is.

AI a friend or an enemy, and will they be a potential threat to humanity?

On the one hand, AI has the potential to revolutionize many industries and make our lives easier. From self-driving cars to virtual assistants, AI has already made some incredible advancements in recent years.

On the other hand, there are valid concerns about the potential dangers of AI. Some experts have warned that AI could eventually surpass human intelligence and potentially even pose a threat to our very existence.

So what’s the truth? In this video, we’ll take a look at both sides of the argument and try to answer the question: should we fear AI or embrace it? We’ll also be discussing the ethical considerations surrounding AI and what the future may hold for this rapidly evolving technology.

Stay tuned for a thought-provoking discussion on the future of artificial intelligence.

After years of walled gardens, cross-pollination could be in sight.

Interoperability and decentralization.


Interoperability and decentralization have been major themes in tech this year, driven in large part by mounting regulation, societal and industrial pressure and the hype trains that are crypto and web3. That rising tide is lifting other boats, such as an open standards-based communication protocol called Matrix — which is playing a part in bringing interoperability to another proprietary part of our digital lives: messaging.

The number of people on the Matrix network doubled in size this year, according to Matthew Hodgson, one of Matrix’s co-creators — a notable, if modest, boost to 80.3 million users (that number may be higher; not all Matrix deployments “phone home” stats to Matrix.org).

While the bulk of all this activity has been in enterprise communications, it looks like mainstream consumer platforms might now also be taking notice.