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How to become more disciplined

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How to become more disciplined

1. Introduce clarity of the final results There is no way to achieve goals and create new success stories without being productive and disciplined. However, many times large plans and ideas do not remain used and never striking the earth in real life. Law and postponement often explain delays or inability to intervene and is … Read more

Do reasoning models really need transformers?: Researchers from Togetherai, Cornell, Geneva and Princeton introduce the M1-A Hybrid Mamba-Based AI that matches the SOTA performance with 3x inference speed

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Do reasoning models really need transformers?: Researchers from Togetherai, Cornell, Geneva and Princeton introduce the M1-A Hybrid Mamba-Based AI that matches the SOTA performance with 3x inference speed

Effective reasoning is crucial to solving complex problems in fields such as math and programming, and LLMs have shown significant improvements through long -term reasoning. However, transformer -based models face restrictions due to their square calculation complexity and linear memory requirements, making it challenging to treat long sequences effectively. While techniques such as Chain of … Read more

How to market yourself as a job seeker – the interior scoop

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How to market yourself as a job seeker - the interior scoop

How to market yourself as a job seeker – the interior scoop By Jeff Altman, Big Game Hunter “All our dreams can come true if we have the courage to pursue them.” And Walt Disney Looking for a new job in today’s market can be challenging, especially if you do not actively network or have … Read more

Actress Michelle Trachtenberg’s cause of death revealed

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Actress Michelle Trachtenberg's cause of death revealed

Almost two months from the death of actor Michelle Trachtenberg, the New York City Office of Chief Medical Examiner has revealed the cause of her passing. According to PeopleA Chief Medical Examiner’s Office spokesman on Wednesday (April 16) confirmed that the actor’s passing was ruled as natural, due to complications of diabetes mellitus. Explore Explore … Read more

Biophysical brain models get a 2000 × speed increase: researchers from NUS, UPENN and UPF introduce parties to replace numeric integration with deep learning without sacrificing accuracy

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Biophysical brain models get a 2000 × speed increase: researchers from NUS, UPENN and UPF introduce parties to replace numeric integration with deep learning without sacrificing accuracy

Biophysical modeling acts as a valuable tool for understanding brain function by connecting neural dynamics at the cellular level with large -scale brain activity. These models are controlled by biologically interpretable parameters, many of which can be measured directly through experiments. However, some parameters remain unknown and must be set to adjust simulations with empirical … Read more

A respected man/woman-to label yourself to stand out

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6 Negotiation strategies for wages and benefits

By Jeff Altman, Big Game Hunter An article in the Brainz magazine reminded me of an old song that carries relevance to many of you. Why do you stay in that job? I read an article in Brainz Magazine, it’s Brainz Magazine, where a coach talked about her own matches with coaching and starting her … Read more

King Gizzard & Lizard Wizard Drill Orchestral LP with ‘Deadstick’

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King Gizzard & Lizard Wizard Drill Orchestral LP with 'Deadstick'

Just a week after revealing that their upcoming album will take an orchestrical skin, productive Australian collective King Gizzard & Lizard Wizard has officially detailed their 27th album. Explore Explore Watch the latest videos, charts and news Watch the latest videos, charts and news Set for release on June 13 via the band’s own (p) … Read more

Transformers can now predict spreadsheet cells without fine tuning: Researchers introduce TabpfN trained of 100 million synthetic data sets

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Transformers can now predict spreadsheet cells without fine tuning: Researchers introduce TabpfN trained of 100 million synthetic data sets

Tabular data is used widely in different areas, including scientific research, economics and healthcare. Traditionally, machine learning models such as gradient-boosted decision trees are preferred to analyze tabular data due to their efficiency in handling heterogeneous and structured data sets. Despite their popularity, these methods have remarkable limitations, especially in terms of performance on unseen … Read more