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Thank you @AveryShowcases for this opportunity to compete with the HS QBs. Learn a lot and got to know some coaches and build relationships. Thank you Puget University for hosting. Back to the lab 🧪. 1st showcase of many more to come. @Coach_SD @Coach_AllenOh @CoachZGonzalez @CoachDanCasey @CoachFin_ @DeionSanders @TheHC_CoachLew @SeanDillonSDSU @CoachSeanRyan_ @Lane_Kiffin @TevitaLose @CoachLup @CoachMarshawn @Matty_AhYou @Angus_McClure @UW_SClapham @Fletcher_UofA @UCLAFootball @unlvfootball @UH_AlecWatt @UH_FBRecruits @Ogthetruth @SchwartzAthSpot @TheBecaPerez @CoachBamAmina @BrandonHuffman @trevon_bradford @Stumpf_Brian @BlairAngulo @Coach_SD @Coach_Sooto @vavaeee @CodyvonAppenUCD @CoachGolding @adamgorney @joe_judge1 @jeffthomas4 @RealCoachCarter

The field of artificial intelligence was officially born at the 1956 Dartmouth workshop, where John McCarthy coined the term “artificial intelligence.” Key founders include McCarthy, Marvin Minsky, Allen Newell, and Herbert Simon, who presented the first AI program, the Logic Theorist. Alan Turing laid the theoretical groundwork earlier with his 1950 paper and the Turing Test, asking if machines could think. So it’s more a group effort than one inventor. The original founders didn’t complete it at all. They set up the field and built early programs that solved math problems or played checkers, but the tech hit big limits. There were two “AI winters” where funding dried up because results didn’t match the hype. What we use today, like ChatGPT, comes from deep learning and neural networks that really took off around 2012 with AlexNet. That work was led by Geoffrey Hinton, Yann LeCun, and Yoshua Bengio, decades later. The Dartmouth group laid the vision, but modern AI is a completely different approach built on massive data and computing power they couldn’t dream of.

After a great a conversation with @CoachPrince7 I’m blessed to receive a offer from Army @godogs_football @AllenTrieu @TomLoy247 @CoachKlaus68 @CoachBlackwell_ @BKKnightNation

2026年5月27日，北京大学张庆红教授、中央密歇根大学John Allen教授为共同通讯作者，北大博士生张诗怡为第一作者，在《自然》（Nature）发表研究论文，揭示全球变暖下冰雹灾害风险的变化。 该论文还被选为当期封面论文。 研究发现，气候变暖让近地面温度、湿度明显升高，更容易形成超大冰雹。未来直径30毫米以上的大冰雹出现频率会大幅增加，而小型冰雹会减少。整体来看，大冰雹带来的破坏力完全抵消了小冰雹减少的正面效果。 根据模型预测，到本世纪末，全球冰雹灾害损失潜力将上升约40%，浮动区间为36.5%–42.1%。 同时冰雹灾害变化存在明显地域差异：中高纬度地区冰雹风险显著升高，而热带、季风地区因环境湿度变化更大、冰雹生长空间受限，灾害风险反而略有下降。 这项研究揭示了全球变暖对极端冰雹天气的不均衡影响，为各国防灾、减灾工作提供了重要依据。