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Why the smartest
#AI is still dumber than a toddler — and how we can fix that https://thenextweb.com/artificial-intelligence/2020/01/27/why-the-smartest-ai-is-still-dumber-than-a-toddler-and-how-we-can-fix-that/ … Check out: https://www.darpa.mil/work-with-us/ai-next-campaign …#DARPA#ThirdWaveAI#AINext *and*@GaryMarcus: https://www.youtube.com/watch?v=vNOTDn3D_RI …#ArtificialIntelligence#DeepLearning#MachineIntelligence#cyberpic.twitter.com/3f0ELJCZkR
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Video from the AI Colloquium is now up on our YouTube channel, DARPAtv. The panel on AI
#ethics was particularly interesting: https://youtu.be/jSxCWLJt0wY . Thx to@HMRoff,@paul_scharre,@JHUAPL's Richard Danzig & Patrick Lin from Ethics + Emerging Sciences Group@CalPoly.#AInext pic.twitter.com/8jf3IUurMI
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Today,
@WhiteHouse/@WHOSTP launched http://AI.gov to showcase government-wide accomplishments in#AI, including strategic documents, fact sheets, programs, and more from throughout the Federal R&D enterprise, including DARPA's AI Next campaign!#AmericanAI#AInext pic.twitter.com/OPGMhasdAS
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@USCViterbi researchers supporting our Lifelong Learning Machines prgm created an AI-controlled robotic limb driven by animal-like tendons & capable of teaching itself a walking task. Research is featured on cover of Nature Machine Intelligence. https://go.usa.gov/xEscK#AInext pic.twitter.com/Sv31eSGdJS
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In an interview with
@Nextgov, DARPA's Valerie Browning explained the investment strategy behind DARPA's $2 billion#AInext campaign and how the agency aims to transform computers into trusted, collaborative partners. https://www.nextgov.com/emerging-tech/2019/03/inside-pentagons-big-plans-develop-trustworthy-artificial-intelligence/155413/ … -
With a coordinated strategy for AI, progress on enabling tech that makes AI safer, more robust, more adaptable, and more intuitive, plus novel applications in areas like chemistry, manufacturing, and scientific discovery, the U.S. is on track to lead the 3rd Wave of AI.
#AInext pic.twitter.com/dH6O3gHrdq
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One of the underlying themes of our AI Colloquium was delivering the capabilities needed to turn J.C.R. Licklider's vision for human-machine teaming into reality. 59 years later, it remains a work in progress, but the research currently underway is bringing us closer.
#AInext pic.twitter.com/frmwsekIuN
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None of the progress made in AI was brought about by DARPA alone. There have been very productive public-private partnerships, sustained funding from key players & fresh leadership from
@DeptofDefense &@WHOSTP to coordinate resources in support of a national AI strategy.#AInext pic.twitter.com/5JWbEvE26w
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Right now, at least 1/3 of DARPA programs involve AI in some fashion. We're bringing about 3rd Wave of AI — which we THINK is contextual reasoning — but check back in 20 yrs to see how it actually manifests. In any case, AI is clearly relevant to
@DeptofDefense mission.#AInext pic.twitter.com/95f4CdqMx8
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However, there's much more work left to do. The field of AI has been marked by successive waves of hype, followed by "AI winters" when expectations weren't met & funding declined. DARPA & some other funders made sustained investment to advance the foundations of AI.
#AInext pic.twitter.com/ejRrs1nYTL
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DARPA Deputy Director: After 50 years of pushing & striving, the field of AI became an overnight success in the past decade. DARPA’s investments in AI began even before 1st
#StarTrek episode, and since then have involved tens, if not hundreds of thousands of engineers.#AInext pic.twitter.com/qSQ3Ros8NC
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DARPA's Media Forensics program is developing scalable, automated tools to spot fakes, looking at digital, physical & semantic integrity of images & video. In the future, it may become possible to rapidly flag & filter manipulated content. https://www.darpa.mil/program/media-forensics …
#AInext pic.twitter.com/CVmvQo6yGg
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In every conference, there's going to be one session no one cares about... It's time to discuss media manipulation & how AI can help identify fakes. Sorry.
#AInext Left: earliest known photo manipulation from 1865. "Honest Abe" isn't so honest here. Right: AI-generated faces. pic.twitter.com/Lf9EcLVxjy
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Trust is essential to adoption of AI-enabled tech, but current assurance approaches for cyber-physical systems assume systems don’t change once deployed. With arrival of learning-enabled systems, safety assurance needs to move beyond design time into operation time.
#AInext pic.twitter.com/GqjuLHE1LJ
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Engineers routinely use high-fidelity simulations to design for tech such as jets, cars & chips. However, robust design is elusive in domains like synbio, protein design & materials chem due to lack of high-fidelity models. AI can help overcome lack of complete models.
#AInext pic.twitter.com/Of1LLdNLi5
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You cannot prepare for every eventuality when creating machine learning training sets, yet ML systems are essentially frozen in time once they’re trained & fielded. This means they can malfunction in unanticipated circumstances.
#AInext pic.twitter.com/bGh8ENg7FT
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Behold the
#physics of AI! DARPA is working to embed physics & prior knowledge in AI models to constrain problem spaces & reduce need for labeled training data.#AInext https://www.fbo.gov/spg/ODA/DARPA/CMO/DARPA-SN-18-65/listing.html …pic.twitter.com/w5P8uSsrYo
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Revolutionizing Prosthetics is leading charge in fusion of AI/BCI. Researchers
@JHUAPL explore how to generalize control & reason across task primitives — steps that go into task completion (e.g., reach, grasp, lift). Primitives can be recombined to facilitate new tasks.#AInext pic.twitter.com/HqeASgUtdo
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Addition of AI to BCI is helpful to reduce amount of training & info required to make a BCI facilitate tasks. AI can help through features like sensors, perception & trajectory planning, allowing a user to complete a task w/ far less concentration & training.
#AInext pic.twitter.com/iem9U1AxKr
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