The hype surrounding machine learning, a form of artificial intelligence, can make it seem like it is only a matter of time before such techniques are used to solve all scientific problems. While impressive claims are often made, those claims do not always hold up under scrutiny. Machine learning may be useful for solving some problems but falls short for others.The hype surrounding machine learning, a form of artificial intelligence, can make it seem like it is only a matter of time before such techniques are used to solve all scientific problems. While impressive claims are often made, those claims do not always hold up under scrutiny. Machine learning may be useful for solving some problems but falls short for others.Machine learning & AI[#item_full_content]

Commvault acquires data backup provider Clumio

The deal is expected to close in early October. Commvault says it’s not material to its earnings and that it’ll be funded with cash on hand.

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The deal is expected to close in early October. Commvault says it’s not material to its earnings and that it’ll be funded with cash on hand.
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]

Humans can grab a book from a shelf with little obvious thought. But it’s a complex process for the brain that involves planning and navigating around obstacles, like other books or knickknacks. Robotics researchers have struggled to replicate this kind of human movement when their systems perform similar tasks. Known as motion planning, the process of training a robot to get an object from one point to another without hitting any obstacles takes time and resources because the robot can’t react dynamically like humans in unknown environments.Humans can grab a book from a shelf with little obvious thought. But it’s a complex process for the brain that involves planning and navigating around obstacles, like other books or knickknacks. Robotics researchers have struggled to replicate this kind of human movement when their systems perform similar tasks. Known as motion planning, the process of training a robot to get an object from one point to another without hitting any obstacles takes time and resources because the robot can’t react dynamically like humans in unknown environments.Robotics[#item_full_content]

Meet Tennibot, the tennis ball roomba

While some tech companies have lofty goals to transform drug discovery through AI or to mine metals from astroids, others set out to solve very annoying pain points average people feel everyday. Tennibot fall into the latter category and wants to pick up your tennis balls for you. Tennibot co-founder and CEO Haitham Eletrabi said […]

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While some tech companies have lofty goals to transform drug discovery through AI or to mine metals from astroids, others set out to solve very annoying pain points average people feel everyday. Tennibot fall into the latter category and wants to pick up your tennis balls for you. Tennibot co-founder and CEO Haitham Eletrabi said
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]

Countries that invest in artificial intelligence see a significant impact on their productivity and growth, but they should take a strategic approach, according to new University at Buffalo School of Management research.Countries that invest in artificial intelligence see a significant impact on their productivity and growth, but they should take a strategic approach, according to new University at Buffalo School of Management research.Business[#item_full_content]

The large language models that have increasingly taken over the tech world are not “cheap” in many ways. The most prominent LLMs, such as GPT-4, took some $100 million to build in the form of legal costs of accessing training data, computational power costs for what could be billions or trillions of parameters, the energy and water needed to fuel computation, and the many coders developing the training algorithms that must run cycle after cycle so the machine will “learn.”The large language models that have increasingly taken over the tech world are not “cheap” in many ways. The most prominent LLMs, such as GPT-4, took some $100 million to build in the form of legal costs of accessing training data, computational power costs for what could be billions or trillions of parameters, the energy and water needed to fuel computation, and the many coders developing the training algorithms that must run cycle after cycle so the machine will “learn.”Machine learning & AI[#item_full_content]

EGYM, a connected fitness startup conceived after the founder hit a wall at the gym, lands $200M at a $1.2B+ valuation

Getting healthy is big business these days. Now a startup that’s come up with a unique approach leveraging tech to help people with their exercise regimes is announcing a big round of funding, putting some weight behind its own push for growth.  Munich-based EGYM — a maker of connected fitness equipment and personalized training tech […]

© 2024 TechCrunch. All rights reserved. For personal use only.

Getting healthy is big business these days. Now a startup that’s come up with a unique approach leveraging tech to help people with their exercise regimes is announcing a big round of funding, putting some weight behind its own push for growth.  Munich-based EGYM — a maker of connected fitness equipment and personalized training tech
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]

Recently, the research team led by Prof. Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a wide-ranging cross-modality machine vision AI model.Recently, the research team led by Prof. Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a wide-ranging cross-modality machine vision AI model.[#item_full_content]

Recently, the research team led by Prof. Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a wide-ranging cross-modality machine vision AI model.Recently, the research team led by Prof. Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a wide-ranging cross-modality machine vision AI model.Computer Sciences[#item_full_content]

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