Science (Video)

Science (Video)

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Science (Video) episodes

  • CARTA: Imagining the Future of Anthropogeny - Ancient DNA and Anthropogeny with Anne Stone
    The first Neandertal DNA was recovered 25 years ago, and since then, ancient DNA has provided many surprising insights into human evolutionary history. Among these are the discoveries of the multiple admixture events among late Pleistocene humans and the remnants of archaic DNA in our own genomes. How does ancient DNA research contribute to the future of anthropogeny? In this talk, I will reflect on the findings of last quarter century of ancient DNA research about archaic humans and their environment as well as examine potential questions that the next quarter century might answer. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Education] [Show ID: 38303]
    16 min
  • CARTA: Imagining the Future of Anthropogeny - Why Should We Care About Anthropogeny? with Pascal Gagneux
    Our species is between 300,000 and 200,000 years old. For most of this one-quarter of a million years, up until just 12,000 years ago, it appears that our ancestors lived in small populations, in small-scale societies of which we can only guess the real nature. We remain in the dark about the age of some of the most diagnostic features of our species: our striding bipedalism, complex tool manufacture and use, fire use, language and societies defining their own identities, collaborating with and competing against neighboring societies. Data from studies of non-human animal behavior remind us of the underappreciated capacities of many other species. However, it has so far not provided evidence for any other species that shares the long list of distinctly human characteristics; chief among those, our species’ capacity to not only simultaneous modify and threaten planetary ecosystems but also document and study such ecosystems across the globe. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38298]
    17 min
  • Meta Data Centers Heterogenous Integration Driven by AI/ML and Network Applications with Ravi Agarwal
    Ravi Agarwal is a technical sourcing manager at the Facebook Infrastructure group. In this role, he is responsible for driving advanced packaging architectures and foundry for both networking and AI/ML compute applications to meet Facebook future workloads. He is driving Chiplet Business Workstream in Open Domain-Specific Architecture (ODSA) Sub-Project within the Open Compute Project (OCP) working with ecosystem partners to enable Chiplet marketplace. Prior to Facebook, he spent 12+ years at Intel Corporation and Amkor Technologies, where he held several leadership positions. In his last role at Intel, he was Chief of Staff to Intel Global Supply Chain Corp. Vice President. Ravi received PhD dual major in Materials Science & Engineering and Polymer Science from North Carolina State University and MBA from University of California Berkeley. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38469]
    17 min
  • Bringing Low-Power O-Band Coherent Optics to the Data Center with Clint Schow
    UC Santa Barbara's Clint Schow discusses how to bring low-power O-band coherent optics to data centers. Schow received B.S., M.S. and Ph.D. degrees from the University of Texas at Austin. After positions at IBM and Agility Communications, Dr. Schow spent more than a decade at the IBM T.J. Watson Research Center in Yorktown Heights, NY, as a Research Staff Member and Manager of the Optical Link and System Design group. He has led international R&D programs spanning chip-to-chip optical links, VCSEL and Si photonic transceivers, nanophotonic switches, and new system architectures enabled by high- bandwidth, low-latency photonic networks. In 2015, Dr. Schow joined the faculty of the University of California at Santa Barbara. Dr. Schow has been an invited speaker and served on committees for numerous international conferences. He is a Fellow of the OSA and the IEEE, has published more than 200 journal and conference articles, and has 33 issued patents. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38468]
    21 min
  • CARTA: Imagining the Future of Anthropogeny - Genome Structure Variation and the Evolution of Human Specific Genes with Evan Eichler
    The discovery and resolution of genetic variation is critical to understanding disease and evolution. Our most recent work sequences diverse human and nonhuman primate genomes using both ultra-long and high-fidelity long-read sequencing technologies. Advances in this area have made possible the first telomere-to-telomere assemblies of the human genome and much more complete chimp, gorilla and orangutan genomes providing new biological insights into regions typically excluded from human genetic and comparative studies. We have discovered mega basepairs of duplicated sequence and/or rapidly evolving sequence present in humans that are absent from other non-human primates. These changes have predisposed our species to recurrent rearrangements associated with disease but also have led to the emergence of new genes important in the expansion of the human frontal cortex of the brain. Our data suggest that large-scale genome structural variation has played and continues to play a crucial role in the evolution of the human species. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38297]
    27 min
  • CARTA: Imagining the Future of Anthropogeny - Computational Neuroscience and Anthropogeny with Terry Sejnowski
    Neuroscience has made great strides in the last decade following the Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, a science and engineering grand challenge that has greatly accelerated research on large-scale recordings from neurons and reconstructions of neural circuits. Large-scale neural network models have in turn inspired major advances in artificial intelligence. These network models have been trained on large-scale data sets to recognize objects in images, caption photographs, and translate text between languages. The most recent advance has been the emergence of pre-trained foundational language models that are self-supervised and can be adapted with fine tuning to a wide range of natural language tasks, each of which previously would have required a separate network model. This is one step closer to the extraordinary versatility of human language. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Education] [Show ID: 38302]
    24 min
  • Scaling Highly Integrated Optical Interconnects with Manish Mehta
    Manish Mehta is the VP of Marketing and Operations for the Optical Systems Division at Broadcom. Manish leads go-to- market and operational activity for the division responsible for developing and manufacturing devices and systems used in optical communications. Prior to joining Broadcom, Manish was EVP and Product Line Management of Source Photonics where he led the company's entry into the datacenter market. Manish holds a Ph.D. in Electrical Engineering from The University of California, Santa Barbara, and B.S. in Electrical Engineering from The University of Texas. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38465]
    19 min
  • Co-Packaged Optics in Future Server Designs with Ram Huggahalli
    Ram Huggahalli is a Principal Hardware Engineer in Microsoft's Azure Hardware Systems and Infrastructure group. His focus areas are hyper-scalar systems architecture, SoC/platform-level interconnects and accelerator architecture strategies for the next 2-4 years. Prior to Microsoft, Ram has been with Intel Corporation contributing to memory and I/O subsystem directions in various Xeon processors and platforms, large scale HPC interconnect product roadmaps and system level simulation methodologies. Ram has MS degrees in Electrical Engineering and Engineering Management from Missouri University of Science and Technology. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38464]
    16 min

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