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Zoox points voluntary software program recall for 258 autos

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Zoox points voluntary software program recall for 258 autos


Zoox points voluntary software program recall for 258 autos

Zoox’s purpose-built robotaxis don’t have conventional guide controls. | Supply: Zoox

Zoox Inc. final week filed a Half 573 Security Recall Report with the Nationwide Freeway Visitors Security Administration, or NHTSA. The corporate issued this voluntary security recall in response to 2 incidents through which its autos braked unexpectedly and had been rear-ended by bikes.

In each of those cases, the Zoox autos concerned had been the corporate’s retrofitted check autos. These at all times drive with security drivers. Regardless of this, the software program recall does apply to a few of the firm’s purpose-built robotaxis, which had been geared up with related software program.

No Zoox autos on the highway use the recalled software program right now.

“Zoox proactively took motion to judge the basis reason for the incidents and carried out mitigating measures to forestall recurrence,” stated the corporate. “These measures included updating the software program on our retrofitted check fleet, operational mitigations for our robotaxis, and elevated consciousness coaching for our security drivers and our TeleGuidance operators.”

These incidents had been the topic of an NHTSA Preliminary Analysis that opened in Could of 2024. Zoox stated it proactively took motion to judge the basis reason for the incidents and carried out mitigating measures to forestall recurrence.

These measures included updating the software program on the corporate’s retrofitted check fleet, operational mitigations for its robotaxis, and elevated consciousness coaching for its security drivers and TeleGuidance operators.

The Foster Metropolis, Calif.-based Amazon subsidiary is testing its purpose-built robotaxis, with no steering wheel or brakes, in San Francisco, Las Vegas, and Foster Metropolis. Through the testing part, its autos are open to Zoox staff so the corporate can refine the driving expertise. It has additional plans to check in Austin and Miami within the coming years.

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Zoox not the one AVs with ‘phantom braking’ drawback

Zoox isn’t the primary autonomous automobile (AV) developer to wrestle with “phantom braking,” or braking for seemingly no cause at sudden occasions. A research from the Delft College of Expertise within the Netherlands discovered that this drawback is usually a results of automated decision-making. That is usually attributable to the automobile’s sensors or algorithms misinterpreting the scenario.

Tesla‘s AVs have struggled with this situation lately. In November 2024, a U.S. federal choose denied a request to throw out a class-action lawsuit from Tesla house owners about phantom braking. The choose stated Tesla should face elements of the lawsuit alleging that its Autopilot system causes vehicles to brake unexpectedly.

Moreover, in February, a German court docket dominated that the Autopilot system on Tesla’s Mannequin 3 autos is “faulty” and isn’t “appropriate for regular use” as a consequence of phantom braking. The Larger Regional Courtroom in Munich is now dealing with the case.

Within the robotaxi world, Waymo stands out as a transparent chief. The corporate supplies over 200,000 paid journeys per week throughout its deployments in San Francisco, Phoenix, Los Angeles, and Austin. The corporate additionally plans to convey its providers to Atlanta and Miami. Right now, it introduced plans to develop operations to Washington, D.C., in 2026.

react native – repair crash ios manufacturing from expo go

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react native – repair crash ios manufacturing from expo go


The iOS manufacturing app, constructed from Expo Go, efficiently downloaded a considerable amount of information (over 40,000 merchandise). Nonetheless, when making an attempt to pick information from these things, the app crashes. How can this situation be mounted?
That is insert 40000 merchandise and over 100 inventory areas from odoo in perform ProductList()

async perform getProductListDownload() {
    strive {
      const consequence = await odoo.name('get_product_list_mobile', {
        mannequin: 'product.product',
        args: ['product.product'],
      });
  
      if (consequence) {
        for (const product of consequence) {
          
          await insertProductList( [],
          );
        }
        
  
        console.log('All merchandise inserted efficiently.');
      } else {
        console.error('Did not fetch product record:', consequence);
      }
    } catch (error) {
      console.error('Error in getProductListDownload:', error);
    }
  }

async perform getWarehouseOfUser() {
    strive {
      const consequence = await odoo.learn({
        mannequin: "res.customers",
        id: userId,
        fields: ["allowed_warehouse_ids"],
        context:{
          allowed_company_ids:[
            odoo.company_id
          ]
        }
      });
  
      const allowedWarehouseIds = consequence[0]?.allowed_warehouse_ids || [];
  
      if (allowedWarehouseIds.size > 0) {
        for (const warehouseId of allowedWarehouseIds) {
          strive {
            const warehouse = await odoo.learn({
              mannequin: "inventory.warehouse",
              id: warehouseId,
              fields: ["id", "name", "lot_stock_id", "company_id"],
            });

            const warehouseData = Array.isArray(warehouse) ? warehouse[0] : warehouse;
            if (warehouseData) {
              const lotStockId = warehouseData.lot_stock_id?.[0] || null;
              const lotStockName = warehouseData.lot_stock_id?.[1] || "";
              const companyId = warehouseData.company_id?.[0] || null;
              const companyName = warehouseData.company_id?.[1] || "";
  
              await insertStockWarehouseList({
                id: warehouseData.id,
                identify: warehouseData.identify,
                lot_stock_id: lotStockId,
                company_id: companyId
              });
  
              if (lotStockId && lotStockName) {
                await insertStockLocationList({
                  id: lotStockId,
                  identify: lotStockName,
                  company_id: companyId
                });
                console.log(`Location ${lotStockId} inserted efficiently.`);
              } else {
                console.log(`Skipping insertion for warehouse ${warehouseId}: Lacking lot_stock_id or lot_stock_name.`);
              }
            }
          } catch (error) {
            console.error(`Did not fetch warehouse ID: ${warehouseId}`, error);
          }
        }
      } else {
        console.log("No allowed warehouses discovered.");
      }
    } catch (error) {
      console.log("Error in getWarehouseOfUser:", error);
    }
  }

That is InventoryForm() perform’s stock counting code

const getProductData = async (restrict = 100) => {
  strive {
    const db = await SQLite.openDatabaseAsync('oderp.db');
    const consequence = await db.getAllAsync(`SELECT * FROM product_product LIMIT ?`, [limit]);
    return consequence;
  } catch (e) {
    console.error('Error fetching product information:', e);
    return [];
  }
};

const searchProduct = async (question) => {
  strive {
    const db = await SQLite.openDatabaseAsync('oderp.db');
    const consequence = await db.getAllAsync(
      `SELECT * FROM product_product WHERE identify LIKE ? OR default_code LIKE ? LIMIT 50`,
      [`%${query}%`, `%${query}%`]
    );
    return consequence;
  } catch (e) {
    console.error('Error looking product:', e);
    return [];
  }
};

const getLocationData = async () => {
  strive {
    const db = await SQLite.openDatabaseAsync('oderp.db');
    const consequence = await db.getAllAsync('SELECT id, identify FROM stock_location');
    return consequence;
  } catch (e) {
    console.error('Error fetching location information:', e);
    return [];
  }
};

const searchLocation = async (question) => {
  strive {
    const db = await SQLite.openDatabaseAsync('oderp.db');
    const consequence = await db.getAllAsync(
      `SELECT * FROM stock_location WHERE identify LIKE ? LIMIT 50`,
      [`%${query}%`]
    );
    return consequence;
  } catch (e) {
    console.error('Error looking location:', e);
    return [];
  }
};

  useEffect(() => {
    const fetchProductData = async () => {
      const merchandise = await getProductData();
      console.log("--------fetch product-----")
      setProductOptions(merchandise);
    };
    
    fetchProductData();
  }, []);

  useEffect(() => {
    const fetchLocationData = async () => {
      const areas = await getLocationData();
      console.log("------locations----", areas)
      setLocationOptions(areas);
    };
    
    fetchLocationData();
  }, []);

The app on TestFlight initially downloads 40,000 objects. After that, when navigating to the stock counting display screen and performing choose or search operations on the downloaded 40,000 objects, the display screen freezes after which crashes.
Within the Expo Go growth surroundings, it really works usually.
Please, assist me 🙂

5 product classes for which reusable packaging is sensible

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5 product classes for which reusable packaging is sensible


Client merchandise corporations and retailers are redesigning packaging as state rules in California, Colorado, Maine, Minnesota and Oregon take purpose at single-use plastic within the type of charges on manufacturers and retailers.

It’s an enormous potential legal responsibility: 225,000 tons of single-use packaging is used per day for all the things from meals and drinks to laundry detergent to shampoo, based on estimates by the U.S. Environmental Safety Company. 

That has impressed dozens of reusable packaging trials such because the citywide take a look at of reusable cups in Petaluma, California; Chilean startup Algramo’s refillable container program; and TerraCycle’s Loop program, discontinued within the U.S. however nonetheless obtainable in France and Japan.

Rules make reusable containers extra possible

“The most popular cause for corporations to do that is complying with regulation,” stated Carolina Lobel, senior director of the Heart for the Round Financial system with funding agency Closed Loop Companions. “They are going to prioritize the place they should do it due to a mandate.”

The rationale is simple: Sustainability groups will discover it simpler to justify upfront investments when finance groups contemplate them in opposition to the expense of non-compliance.

Transferring to reusable containers or packaging additionally requires investments in manufacturing modifications, reverse logistics and container wash methods, amongst different issues, based on an evaluation of the reuse mannequin by the Heart for the Round Financial system and the U.S. Plastics Pact, a commerce group additionally finding out the difficulty.

Manufacturers and retailers ought to assess these elements when contemplating reusable packaging: 

  • Environmental advantages, together with sturdiness, weight and what number of instances the packaging can be utilized earlier than it should be recycled. Shelling out sweet in a metal container, for instance, doesn’t make as a lot sense as switching a laundry detergent bottle. 
  • Client acceptance, together with the frequency with which an merchandise is bought and the way the redesign may have an effect on different dynamics, comparable to product security.
  • Operational alignment, comparable to whether or not a class makes use of standardized codecs and the way present back-of-house infrastructure can be utilized to help it. 

“It is sensible to activate round markets the place reuse already occurs,” stated Anita Schwartz, founder and principal of Circularity Consulting. Many grocery shops, for instance, have washing amenities to help preparation for decent meals or salad bars. The identical goes for the catering operations on company campuses, Schwartz stated.

Containers for prepared foods
Containers from DeliverZero are being utilized in some Entire Meals shops.
Supply: DeliverZero

The place reuse is sensible within the close to time period

With that in thoughts, the Closed Loop Companions and U.S. Plastics Pact evaluation identifies 5 shopper product classes the place reusable packaging is greatest suited to near-term adoption. All are offered in grocery retailers or comfort shops, which frequently have energetic, ongoing relationships with particular clients.

“The primary mover needs to be on the retailer degree,” stated Schwartz. “You’re going to have frequency of return taking place.” 

Ready meals

Environmental advantages: A reusable salad bowl used at the least two instances has much less of an influence than the single-used version.

Client acceptance: Gadgets are consumed rapidly, and purchases in salad bars and delicatessens are frequent.

Operational alignment: Packaged on web site — usually by shoppers at a salad or scorching meals bar — which reduces logistical overhead; repeat clients usually tend to return containers.

Instance: DeliverZero, which affords reusable containers to eating places, is piloting this mannequin at Entire Meals shops in Denver and all through Colorado. 

Contemporary produce

Environmental advantages: Unclear, though reusable containers that protect minimize greens longer than thin-plastic movie might assist cut back meals spoilage and waste.

Client acceptance: Greens are purchased steadily due to their shelf life, making it extra doubtless for shoppers to deliver again packaging. Reusable packaging is also vital on the distribution degree.

Operational alignment: Processes are typically native and guide, making it less complicated to optimize supplies with out important changes.   

Instance: Contemporary Del Monte makes use of reusable plastic containers to move bananas. 

Drinks (together with milk, juice and alcohol)

Environmental advantages: Reusable bottles made from polyethylene terephthalate plastic are heavier than the single-use various, so it takes at the least two return cycles for them to have a decrease influence.

Client acceptance: Many shoppers are conversant in bottle return schemes and refill fashions, comparable to these for native dairies.

Operational alignment: It could be doable to make use of present assortment factors that provide small charges for returning cans or bottles. Current dairy wash and refill infrastructure supply potential for different drinks, together with contemporary juice, beverage concentrates or wine.   

Instance: Startup Olyns, putting in reverse merchandising machines in California, makes use of synthetic intelligence to type many forms of containers for recycling; they could possibly be used for reusable bottles or cups sooner or later.

Dwelling care objects (particularly detergents)

Environmental advantages: Some bottles, comparable to those for laundry detergent, are already reusable. Redesigning for sturdiness would improve weight, however reusing the container at the least 4 instances would translate right into a 50 % emissions discount.

Client acceptance: Shoppers and companies are much less involved about security protocols in contrast with containers for meals and beverage classes.  

Operational alignment: Gadgets comparable to detergents or spray cleansers are available pretty customary shapes, which is vital for scale.

Instance: U.Okay. grocer Ocado makes use of a sturdy plastic, refillable container for delivering detergent. 

Private care merchandise (particularly shampoo, lotions and soaps)

Environmental advantages: Gadgets are bought steadily as containers are emptied, and lots of are already made from sturdy glass or plastic.

Client acceptance: Fragrance or hand cleaning soap are sometimes displayed on containers; shoppers are extra open to enticing designs which can be sturdy and refillable.

Operational alignment: Packages already designed to deal with a number of makes use of; they might match simply into present assortment and wash methods.

Instance: Kiehl’s and Physique Store are two manufacturers that provide refillable bottles for his or her merchandise.

Turing Award Particular: A Dialog with Jeffrey Ullman

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Turing Award Particular: A Dialog with Jeffrey Ullman


Jeffrey Ullman is a famend pc scientist and professor emeritus at Stanford College, celebrated for his groundbreaking contributions to database programs, compilers, and algorithms. He co-authored influential texts like Ideas of Database Programs and Compilers: Ideas, Methods, and Instruments (typically referred to as the “Dragon Guide”), which have formed generations of pc science college students.

Jeffrey obtained the 2020 Turing Award along with Alfred Aho “for elementary algorithms and idea underlying programming language implementation and for synthesizing these outcomes and people of others of their extremely influential books, which educated generations of pc scientists.”

On this episode he joins Kevin Ball to speak about his life and profession.

Kevin Ball or KBall, is the vice chairman of engineering at Mento and an impartial coach for engineers and engineering leaders. He co-founded and served as CTO for 2 firms, based the San Diego JavaScript meetup, and organizes the AI inaction dialogue group by way of Latent House.

 

 

Please click on right here to see the transcript of this episode.

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SplxAI Secures $7M Seed Spherical to Deal with Rising Safety Threats in Agentic AI Programs

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SplxAI Secures M Seed Spherical to Deal with Rising Safety Threats in Agentic AI Programs


In a serious step towards safeguarding the way forward for AI, SplxAI, a trailblazer in offensive safety for Agentic AI, has raised $7 million in seed funding. The spherical was led by LAUNCHub Ventures, with strategic participation from Rain Capital, Inovo, Runtime Ventures, DNV Ventures, and South Central Ventures. The brand new capital will speed up the event of the SplxAI Platform, designed to guard organizations deploying superior AI brokers and functions.

As enterprises more and more combine AI into each day operations, the menace panorama is quickly evolving. By 2028, it’s projected that 33% of enterprise functions will incorporate agentic AI — AI techniques able to autonomous decision-making and sophisticated activity execution. However this shift brings with it a vastly expanded assault floor that conventional cybersecurity instruments are ill-equipped to deal with.

“Deploying AI brokers at scale introduces important complexity,” stated Kristian Kamber, CEO and Co-Founding father of SplxAI. “Guide testing isn’t possible on this atmosphere. Our platform is the one scalable answer for securing agentic AI.”

What Is Agentic AI and Why Is It a Safety Danger?

Not like standard AI assistants that reply to direct prompts, agentic AI refers to techniques able to performing multi-step duties autonomously. Consider AI brokers that may schedule conferences, e book journey, or handle workflows — all with out ongoing human enter. This autonomy, whereas highly effective, introduces critical dangers together with immediate injections, off-topic responses, context leakage, and AI hallucinations (false or deceptive outputs).

Furthermore, most present protections — similar to AI guardrails — are reactive and sometimes poorly skilled, leading to both overly restrictive habits or harmful permissiveness. That’s the place SplxAI steps in.

The SplxAI Platform: Crimson Teaming for AI at Scale

The SplxAI Platform delivers absolutely automated crimson teaming for GenAI techniques, enabling enterprises to conduct steady, real-time penetration testing throughout AI-powered workflows. It simulates refined adversarial assaults — the type that mimic real-world, extremely expert attackers — throughout a number of modalities, together with textual content, photographs, voice, and even paperwork.

Some standout capabilities embody:

  • Dynamic Danger Evaluation: Constantly probes AI apps to detect vulnerabilities and supply actionable insights.

  • Area-Particular Pentesting: Tailors testing to the distinctive use-cases of every group — from finance to customer support.

  • CI/CD Pipeline Integration: Embeds safety straight into the event course of to catch vulnerabilities earlier than manufacturing.

  • Compliance Mapping: Mechanically assesses alignment with frameworks like NIST AI, OWASP LLM Prime 10, EU AI Act, and ISO 42001.

This proactive method is already gaining traction. Prospects embody KPMG, Infobip, Model Engagement Community, and Glean. Since launching in August 2024, the corporate has reported 127% quarter-over-quarter development.

Buyers Again the Imaginative and prescient for AI Safety

LAUNCHub Ventures’ Normal Associate Stan Sirakov, who now joins SplxAI’s board, emphasised the necessity for scalable AI safety options: “As agentic AI turns into the norm, so does its potential for abuse. SplxAI is the one vendor with a plan to handle that danger at scale.”

Rain Capital’s Dr. Chenxi Wang echoed this sentiment, highlighting the significance of automated crimson teaming for AI techniques of their infancy: “SplxAI’s experience and know-how place it to be a central participant in securing GenAI. Guide testing simply doesn’t lower it anymore.”

New Additions Strengthen the Crew

Alongside the funding, SplxAI introduced two strategic hires:

  • Stan Sirakov (LAUNCHub Ventures) joins the Board of Administrators.

  • Sandy Dunn, former CISO of Model Engagement Community, steps in as Chief Info Safety Officer to steer the corporate’s Governance, Danger, and Compliance (GRC) initiative.

Reducing-Edge Instruments: Agentic Radar and Actual-Time Remediation

Along with the core platform, SplxAI just lately launched Agentic Radar — an open-source software that maps dependencies in agentic workflows, identifies weak hyperlinks, and surfaces safety gaps by way of static code evaluation.

In the meantime, their remediation engine affords an automatic approach to generate hardened system prompts, lowering assault surfaces by 80%, enhancing immediate leakage prevention by 97%, and minimizing engineering effort by 95%. These system prompts are essential in shaping AI habits and, if uncovered or poorly designed, can grow to be main safety liabilities.

Simulating Actual-World Threats in 20+ Languages

SplxAI additionally helps multi-language safety testing, making it a worldwide answer for enterprise AI safety. The platform simulates malicious prompts from each adversarial and benign person varieties, serving to organizations uncover threats like:

  • Context leakage (unintentional disclosure of delicate information)

  • Social engineering assaults

  • Immediate injection and jailbreak methods

  • Poisonous or biased outputs

All of that is delivered with minimal false positives, because of SplxAI’s distinctive AI red-teaming intelligence.

Wanting Forward: The Way forward for Safe AI

As companies race to combine AI into every thing from customer support to product growth, the necessity for sturdy, real-time AI safety has by no means been higher. SplxAI is main the cost to make sure AI techniques are usually not solely highly effective—however reliable, safe, and compliant.

“We’re on a mission to safe and safeguard GenAI-powered apps,” Kamber added. “Our platform empowers organizations to maneuver quick with out breaking issues — or compromising belief.”

With its recent capital and momentum, SplxAI is poised to grow to be a foundational layer within the AI safety stack for years to come back.

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