Let’s get straight to it: ergonomic accidents aren’t only a “security” downside. They’re a enterprise downside—one which quietly chips away at your productiveness, workforce, and backside line.
And in the event you suppose you possibly can’t afford to put money into automation proper now, right here’s the actual query: Are you able to afford to not?
One other initiative is aimed toward making use of generative AI to know community menace vectors, Yavatkar stated.
“How will we proactively generate such menace vectors and take a look at our merchandise in opposition to that? Extra importantly, we additionally discovered a flip facet – that Gen AI can be utilized to additionally provide you with defenses in opposition to such threats. So there’s form of a duality of utilizing gen AI for each offense and protection that’s going to be essential,” Yavatkar stated.
The lab can also be engaged on AI-based expertise to simplify and orchestrate the administration of hybrid cloud and multicloud infrastructures, Yavatkar stated.
Juniper Cloud Interlink is an AI-powered software program product that’s being incubated in Juniper Past Labs. It’s designed to securely let enterprises join purposes throughout public cloud, co-location and on-premise knowledge facilities at scale with totally built-in community and safety stacks. Juniper Cloud Interlink collects telemetry and analytics and consists of an AI engine to watch cloud networks in actual time to guarantee community experiences and proactively present troubleshooting options.
Because the native community and safety providers supplied by some cloud suppliers are restricted, Juniper Cloud Interlink presents embedded safety and helps bring-your-own safety choices,” Yavatkar wrote in a weblog submit in regards to the product. “Its single, centralized portal gives administration, visibility into software connectivity efficiency and the well being of the community and price optimization for IT and DC operations groups.”
The concept is to assist prospects establish efficiency bottlenecks earlier than they influence software efficiency in addition to uncover any misconfigured community units that would influence the appliance, Yavatkar stated.
The Robotics Summit & Expo kicks off on the Boston Conference and Exhibition Middle tomorrow. The present will convey collectively 5,000 attendees and greater than 200 exhibitors for over 50 instructional periods. It additionally options quite a few networking alternatives, a Profession Truthful, a robotics improvement problem, the RBR50 Robotics Innovation Awards Gala, and extra.
That will help you hold monitor of all the pieces happening, we’ve compiled a abstract of the entire actions on the occasion over the following two days. As well as, you’ll be able to obtain the Robotics Summit App to plan your private schedule, community with fellow attendees, discover reveals, and extra.
This afternoon, we’ll kick all the pieces off with a pre-show Welcome Reception from 5:00 to 7:00 p.m. ET in Assembly Room 258ABC. It is a ticketed occasion that prices $35.
Day 1 of the Robotics Summit kicks off at 9:00 a.m. in Room 258ABC with the present’s opening keynote, “Redesigning Atlas: Boston Dynamics on the Way forward for Humanoids” from Aaron Saunders, chief expertise officer at Boston Dynamics.
This speak can be adopted by one other keynote in the identical room from James Kuffner, the CTO of Symbotic. His presentation on “The Way forward for Clever Automated Logistics” will begin at 10:00 a.m.
The expo ground may also open at 10:00 a.m. and can keep open till 5:00 p.m. There, yow will discover the Robotics Summit Engineering Theater, the stay podcast studio, the RBR50 showcase space, and the Type and Perform Problem opponents. Attendees may even play pickleball with Tennibot.
Should you’re all for choosing up some meals for lunch, yow will discover the meals court docket behind the expo corridor.
Breakout periods will begin at 11:00 a.m. within the Engineering Theater and 11:30 a.m. within the assembly rooms upstairs. 5 periods will begin at 11:30 a.m. in Rooms 259AB, 256, 257A, 260, and 257B. These periods will pause at 12:15 p.m. for a lunch break.
At 1:45 p.m., 5 extra periods will begin upstairs. One other spherical of periods will begin at 2:45 p.m. and once more at 4:15 p.m.
From 3:30 to 4:15 p.m., you’ll be able to come to the expo ground for a tailgate. Cubicles on the ground can be handing out free drinks. Come calm down and meet up with your pals within the trade whereas additionally studying concerning the newest developments from our exhibitors.
After the present ground closes, we’ll be holding the Robotics Combine & Mingle Reception in Room 258ABC from 5:00 to 7:00 p.m. It is a ticketed community occasion that’s free so as to add on to your Full Convention move.
The RBR50 Robotics Innovation Awards Reception and Gala will begin at 6:00 p.m. It is a ticketed occasion, with very restricted seats. It is going to be held in Assembly Room 253BC.
Day 2 of the Robotics Summit will start at 8:00 a.m. with the Girls in Robotics Breakfast. This hour of networking, engagement, mentorship, and free foods and drinks will characteristic a dialog between Laura Main, the interim CEO and CTO of Motional, and Joyce Sidopoulos, the co-founder and chief of operations at MassRobotics. It is going to happen in Room 253BC.
Our first keynote, in Room 258ABC, will begin at 9:00 a.m. We’ll hear from Aaron Parness, the director of utilized science in robotics and synthetic intelligence at Amazon Robotics, concerning the firm’s robotics evolution. Our subsequent keynote, “Welcome to the Period of Bodily Intelligence,” can be delivered at 10:00 a.m. by Daniela Rus, the director of MIT CSAIL.
Engineering Theater periods start at 11:00 a.m., whereas breakout periods begin at 11:30 a.m. Extra rounds of breakout periods will begin at 1:30 p.m. and at 2:30 p.m. Like on Day 1, breakout periods will pause at 12:15 for a lunch break.
Aadeel Akhtar, the founder and CEO of PSYONIC, will give the closing keynote on “Superior Bionics for People and Robots” in Room 258ABC at 3:30 p.m. He’ll give a stay demonstration of the Potential Hand.
The Expo Flooring opens at 10:00 a.m. on Day 2 and can shut at 3:00 p.m. The MassRobotics Profession Truthful will start at 3:30 p.m. within the Southeast Stage 2 Lobby. We stay up for seeing you on the 2025 Robotics Summit & Expo!
At RSAC 2023, Cisco unveiled its new resolution, Cisco XDR, with the promise of remodeling the way in which that Safety Groups function. Two years later, Cisco has executed that promise for over 1000 prospects, offering outlined and prioritized incidents with guided responses, and lowering imply time to reply. Now at RSAC 2025, Cisco is democratizing Safety Operations additional, evolving the roles of cyber-defenders as soon as extra on the earth of AI.
Designed to take Incidents in Cisco XDR to the following stage, Immediate Assault Verification continues to give attention to guaranteeing organizations can shortly perceive what is going on of their surroundings and motion successfully. Immediate Assault Verification makes use of Agentic AI to uplevel the correlation in Cisco XDR, figuring out and asking the questions wanted to confidently establish an incident each time.
This AI-powered functionality adjustments the sport by validating every alert in actual time — figuring out with excessive confidence whether or not it represents a real assault, not simply an anomaly. It brings collectively telemetry throughout endpoint, community, cloud, electronic mail, and identification, enriched by Cisco Talos Menace Intelligence and enhanced by Cisco XDR Forensics.
Machine studying, machine reasoning, and huge language fashions (LLMs) mix to set off a number of AI brokers performing in several phases of the incident-determination lifecycle. The result’s a clear verdict, delivered immediately with outlined impression and a confidence indicator. Why? As a result of validation imbues confidence and allows motion.
Analysts are in a relentless cycle of handbook investigation, chasing false positives that drain time, focus, and morale.
The true subject isn’t simply quantity—it’s uncertainty. With out clear, speedy validation of an assault’s legitimacy, each alert turns into a possible gamble.
Assault paths and a transparent timeline are offered in a storyboard to visualise and assist the Incident’s verdict and response actions taken.
The result’s autonomous response for the commonest assaults delivered by means of pre-built playbooks in Cisco XDR or Splunk SOAR to reply immediately with or with out human intervention relying on every group’s processes.
The promise of autonomous response has been round for years, but most groups nonetheless hesitate to completely embrace it. The reason being not a scarcity of expertise—it’s a lack of belief. With out clear validation, automation feels dangerous, particularly when high-stakes incidents are on the road. Cisco XDR adjustments that. With Immediate Assault Verification, each motion is backed by explainable AI, actual proof, and a human-readable verdict. It provides groups the boldness to automate responses safely and decisively, exactly when it issues most.
Cisco XDR with Immediate Assault Verification turns the thought of autonomous response right into a trusted, sensible actuality. No guesswork. No hesitation. Simply clear, validated actions that allow your group transfer sooner and smarter. Till analysts can confirm threats immediately and act decisively, safety effectivity will stay a distant aim. With Cisco XDR, automation turns into a bonus, not a threat.
Immediate Assault Verification redefines what is feasible in fashionable safety operations. It delivers what SOC groups have at all times needed however by no means obtained: real-time belief and response at scale.
Most significantly, automation turns into protected: Playbooks solely run when threats are verified. This transforms autonomous response from a bet right into a trusted power multiplier — whether or not you’re a lean IT group operating XDR alone or an enterprise SOC.
This isn’t simply sooner response — it’s smarter safety.
Cisco XDR is constructed to boost the boldness of your whole SecOps group, from the primary sign to the ultimate response. Immediate Assault Verification reduces false positives, reduces alert fatigue, quickens investigation, and triggers trusted playbooks to motion on verified threats at machine velocity. No noise. No guesswork. Only a clear verdict. Decisive Motion. All at AI velocity.
In the event you’re uninterested in alerts that elevate extra questions than solutions, then you definitely’re prepared for AI that does extra than simply help. It’s time to expertise what trusted automation actually seems to be like.
Arise with Cisco and say you’re not going to take it! You need the XDR resolution that continues to evolve with you and, critically, your attackers. Register for our RSAC Highlights webinar on Might 20th to see how Cisco XDR turns noise into readability and alerts into motion.
We’d love to listen to what you suppose. Ask a Query, Remark Under, and Keep Related with Cisco Safe on social!
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Multimodal AI is remodeling the sector of synthetic intelligence by combining various kinds of information, similar to textual content, photographs, video, and audio, to supply a deeper understanding of data. This method is much like how people course of the world round them utilizing a number of senses. For instance, AI can look at medical photographs in healthcare whereas contemplating affected person data and textual content information to make extra correct diagnoses.
Nonetheless, guaranteeing its outputs are dependable and correct turns into tougher as AI know-how advances. That is the place Patronus AI’s Decide-Picture instrument, powered by Google Gemini, is available in. It gives an revolutionary method to consider image-to-text fashions, offering builders with a transparent and scalable framework to reinforce the accuracy and dependability of multimodal AI techniques.
Not like conventional AI fashions that target only one information kind at a time, multimodal techniques course of a number of forms of information concurrently, enabling them to make extra knowledgeable selections. For instance, a digital assistant powered by multimodal AI can analyze a consumer’s voice command, examine their calendar for context, and counsel duties primarily based on current interactions. By combining spoken textual content, textual content information, and probably even photographs from a digicam, AI can present extra considerate, personalised responses and predictions.
The influence of multimodal AI is widespread throughout many sectors. In healthcare, AI fashions can now combine medical photographs, similar to X-rays and MRIs, with affected person histories and scientific notes to supply extra exact diagnoses. Within the automotive trade, self-driving vehicles depend on multimodal AI to mix information from cameras, sensors, and radar, enabling them to navigate roads and make real-time selections. Streaming companies and gaming corporations use multimodal AI to raised perceive consumer preferences by analyzing conduct throughout textual content interactions, voice instructions, and video content material.
Nonetheless, regardless of its huge potential, multimodal AI faces a number of challenges. One key concern is information misalignment, the place various kinds of information could not correspond completely, resulting in errors. Moreover, whereas people naturally perceive the context through which numerous information varieties work together, AI techniques usually wrestle to know this context, leading to misinterpretations and poor decision-making. Moreover, multimodal techniques can inherit biases from the info on which they’re skilled, which is particularly regarding in high-stakes industries like healthcare and legislation enforcement.
To deal with these challenges, Patronus AI’s Decide-Picture gives a complete resolution. It gives a dependable framework for evaluating and validating multimodal AI outputs, guaranteeing that techniques produce correct, unbiased, and reliable outcomes. By enhancing the analysis course of, Decide-Picture helps make sure that multimodal AI techniques can ship on their promise throughout numerous industries.
AI hallucinations happen when image-to-text fashions generate inaccurate or fully fabricated captions. For instance, the AI would possibly label a picture of a canine as a “cat” or fail to seize important particulars in a fancy scene. These errors can occur for a number of causes. One frequent trigger is inadequate or biased coaching information, the place the mannequin has been skilled on sure forms of photographs however struggles with others. For instance, an AI skilled primarily on indoor furnishings photographs would possibly wrongly classify an outside backyard bench as a chair. Moreover, advanced photographs with overlapping objects or summary ideas can confuse AI, similar to when a protest scene is misinterpreted as only a generic crowd. Moreover, when fashions are skilled on small datasets, they’ll turn out to be too specialised, resulting in overfitting, the place they carry out poorly on unfamiliar inputs and produce nonsensical or incorrect captions.
Patronus AI’s Decide-Picture helps remedy these issues utilizing Google Gemini to examine AI-generated captions in opposition to the precise picture completely. It ensures that the caption matches the textual content, object placement, and general context of the picture.
For example, in eCommerce, Decide-Picture assists platforms like Etsy by verifying that product descriptions precisely replicate the picture, together with checking textual content extracted from photographs by Optical Character Recognition (OCR) and confirming model parts. What units Decide-Picture other than instruments like GPT-4V is its even-handed method, which reduces bias and ensures extra correct evaluations. Utilizing these insights, builders can refine their AI fashions, enhancing accuracy and sustaining context, which fixes technical flaws and addresses real-world points similar to buyer dissatisfaction and inefficiencies in enterprise operations.
Patronus AI’s Decide-Picture is already considerably impacting numerous industries by fixing key issues in AI-generated picture captions. One of many early adopters is Etsy, the worldwide market for handmade and classic objects. With over 100 million product listings, Etsy makes use of Decide-Picture to make sure that AI-generated captions are correct and free from errors like incorrect labels or lacking particulars. This helps enhance product searchability, builds buyer belief, and boosts operational effectivity by decreasing dangers similar to returns or dissatisfied consumers brought on by inaccurate product descriptions.
Decide-Picture’s influence can also be increasing into different sectors, and types can use the instrument throughout numerous industries:
Manufacturers can use Decide-Picture to confirm their advert creatives, guaranteeing the visible content material aligns with the messaging. For instance, Decide-Picture can examine AI-generated captions for promotional photographs to make sure they match the corporate’s model tips, holding campaigns constant.
Legislation companies and different authorized companies can use Decide-Picture to examine textual content extracted from PDFs or scanned paperwork, like contracts and monetary stories. Its correct OCR testing helps guarantee important particulars, similar to dates, figures, and clauses, are accurately interpreted, decreasing errors in authorized processes.
Platforms that generate alt-text for photographs can use Decide-Picture to confirm descriptions for visually impaired customers. The instrument flags inaccuracies in scene descriptions or object placements, which helps enhance accessibility and compliance with related tips.
Trying to the long run, Patronus AI plans to reinforce Decide-Picture’s capabilities additional by including assist for audio and video content material. This can enable it to judge AI techniques that course of speech, video, or advanced multimedia content material. This enlargement may very well be particularly useful in industries like healthcare, the place AI-generated summaries of medical photographs should be validated, or in media manufacturing, the place guaranteeing that video captions match the visuals is significant.
Decide-Picture units a brand new normal for reliable AI techniques by providing real-time analysis and adaptableness for various industries, proving that transparency and accuracy are achievable objectives for multimodal AI know-how.
Patronus AI’s Decide-Picture is a groundbreaking instrument in multimodal AI analysis, addressing essential challenges like AI hallucinations, object misidentifications, and spatial inaccuracies. It ensures that AI-generated content material is correct, dependable, and contextually aligned, setting a brand new normal for transparency and belief in image-to-text purposes. Its capacity to validate captions, confirm embedded textual content, and preserve contextual constancy makes it invaluable for eCommerce, advertising and marketing, healthcare, and authorized companies.
Because the adoption of multimodal AI grows, instruments like Decide-Picture will turn out to be important in guaranteeing these techniques are correct, moral, and meet consumer expectations. Builders and companies seeking to refine their AI fashions and improve buyer experiences will discover Decide-Picture an indispensable instrument.