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Contenido proporcionado por Mohamed Elsherif. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Mohamed Elsherif o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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EP91 - AskDeveloper Podcast - هل ممكن الذكاء الصناعي يساعد العلماء مع وليد عمار

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Manage episode 446438231 series 26781
Contenido proporcionado por Mohamed Elsherif. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Mohamed Elsherif o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Bridger (Waleed) Ammar, PhD Dr. Ammar is an educator, engineer, research scientist, author, and a business owner. Before founding HIGG, Dr. Ammar was a senior research scientist at Google, where he helped develop transformer-based models for generating DNA sequences based on PacBio long-reads which significantly reduced variant-calling errors [Nature Biotech'22]. He also helped develop task-oriented dialog systems which are more robust to disfluencies, code-switching and user revisions [arXiv'23]. Prior to joining Google, Dr. Ammar led the Semantic Scholar research team's efforts to develop ML-based methods to facilitate access to the literature [e.g., NAACL 19], build a knowledge graph of the scientific literature [NAACL'18], and use this wealth of information to identify systemic social problems in science [JAMA'19]. He also led the product team for the Semantic Scholar APIs in 2023. Dr. Ammar occasionally teaches courses at UW linguistics and UW Computer Science as a visiting lecturer. In 2016, he earned his Ph.D. degree in artificial intelligence from Carnegie Mellon University. Before pursuing the Ph.D., Waleed was a research engineer at Microsoft Research and a web developer at eSpace Technologies. 1. I was recently invited to speak at GAIN (Global AI Now/Next/Never), and was surprised by the degree to which SCIENCE IS TRANSFORMING KSA (kingdom of Saudi Arabia). Happy to share my key observations on the what, the how, and why it matters to the listeners of the podcast. 2. We recently launched SeeChat x Ideas at https://seechat.ai to help scientists do what they do best, even better: SCIENTIFIC PROBLEM SOLVING. Happy to elaborate on some of the key features we launched and a sneak peek on some of the features in our roadmap. 3. We just launched a first-of-its-kind AI-powered scientific problem solving competition for university students in Egypt at https://lnkd.in/gPCSiPKq. The goal is to HELP EGYPTIAN STUDENTS DO THEIR BEST WORK & SHINE in a highly competitive field, and a brutal job market. Happy to elaborate on the what, the how and why we think that IMPACT CHALLENGE: EGYPT has the potential to make a dent in the Egyptian economy.
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91 episodios

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Manage episode 446438231 series 26781
Contenido proporcionado por Mohamed Elsherif. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Mohamed Elsherif o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Bridger (Waleed) Ammar, PhD Dr. Ammar is an educator, engineer, research scientist, author, and a business owner. Before founding HIGG, Dr. Ammar was a senior research scientist at Google, where he helped develop transformer-based models for generating DNA sequences based on PacBio long-reads which significantly reduced variant-calling errors [Nature Biotech'22]. He also helped develop task-oriented dialog systems which are more robust to disfluencies, code-switching and user revisions [arXiv'23]. Prior to joining Google, Dr. Ammar led the Semantic Scholar research team's efforts to develop ML-based methods to facilitate access to the literature [e.g., NAACL 19], build a knowledge graph of the scientific literature [NAACL'18], and use this wealth of information to identify systemic social problems in science [JAMA'19]. He also led the product team for the Semantic Scholar APIs in 2023. Dr. Ammar occasionally teaches courses at UW linguistics and UW Computer Science as a visiting lecturer. In 2016, he earned his Ph.D. degree in artificial intelligence from Carnegie Mellon University. Before pursuing the Ph.D., Waleed was a research engineer at Microsoft Research and a web developer at eSpace Technologies. 1. I was recently invited to speak at GAIN (Global AI Now/Next/Never), and was surprised by the degree to which SCIENCE IS TRANSFORMING KSA (kingdom of Saudi Arabia). Happy to share my key observations on the what, the how, and why it matters to the listeners of the podcast. 2. We recently launched SeeChat x Ideas at https://seechat.ai to help scientists do what they do best, even better: SCIENTIFIC PROBLEM SOLVING. Happy to elaborate on some of the key features we launched and a sneak peek on some of the features in our roadmap. 3. We just launched a first-of-its-kind AI-powered scientific problem solving competition for university students in Egypt at https://lnkd.in/gPCSiPKq. The goal is to HELP EGYPTIAN STUDENTS DO THEIR BEST WORK & SHINE in a highly competitive field, and a brutal job market. Happy to elaborate on the what, the how and why we think that IMPACT CHALLENGE: EGYPT has the potential to make a dent in the Egyptian economy.
  continue reading

91 episodios

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